中文文獻
[1].王信惠(2007)。排隊消費之探索性研究─以飲食消費為例(碩士論文)。取自https://hdl.handle.net/11296/86876k[2].王碩與孫洋洋(2018)。Python GUI 程式設計:PyQt5實戰。新北市:博碩文化。
[3].刘建平Pinard (2017年1月20日)。PrefixSpan算法原理总结【部落格文字資料】。取自:https://www.cnblogs.com/pinard/p/6323182.html
[4].別業廣與呂樺(2004)。再談核磁共振在醫學方面的應用,物理與工程,14(2),34, 61. doi: 10.3969/j.issn.1009-7104.2004.02.012
[5].吳仁和(2015)。物件導向系統分析與設計:結合MDA與UML(五版) 。台灣:智勝文化事業有限公司。
[6].吳仁和與林信惠(2107)。系統分析與設計:理論與實務應用(七版)。台灣:智勝文化事業有限公司。
[7].吳鴻志與陳翊嘉(2016)。數位學習下的腦波訊號分析。高雄市:第十五屆離島資訊技術與應用研討會,312-316。
[8].吳豐雄(1992)。最新系統分析與設計。台北市:松崗圖書公司
[9].李國生(2004)。應用資料挖掘技術於長程聽覺誘發波P300與智商關係之研究(碩士論文)。取自:https://hdl.handle.net/11296/6c68t8[10].李淑惠(2009)。排隊從眾行為之研究-以台南小吃為例。(碩士論文)。取自http://handle.ncl.edu.tw/11296/ndltd/62214204259393192341[11].季延平與郭鴻志(1995)。系統分析與設計-由自動化到企業再造。台北市:華泰書局
[12].林承欣、黃元惠、洪千惠、盧宥霖與趙文鴻。(2017)。事件複雜度與伴隨性負變化關聯之研究。2017健康與管理學術研討會,臺灣元培科技大學。
[13].林淑芬(1992)。系統開發-分析、設計與製作。台北市:碁峰資訊
[14].林淑芬(2016)。R軟體資料探勘實務(中)—關聯模型。國立台灣大學計算機及資訊網路中心電子報,第0036期,ISSN 2077-8813。
[15].林惠琴(2015)。國小閱讀障礙生與一般生讀寫腦波的比較。(碩士論文)。取自https://hdl.handle.net/11296/7h635w[16].施威銘(2007)。資料庫理論與實務Access2007。台北市:旗標出版股份有限公司。
[17].洪錦魁與蔡桂宏。(2017)。R語言-邁向Big Data之路。台北市:深石數位。1-13至1-16。
[18].國立中央大學管理學院ERP中心(2014)。商業智慧第二版。台中市:滄海書局
[19].梁直青與郭芳妤(2018)。從認知反應與腦波歷程探究消費者等候決策。中華心理學刊,60(3), 191-215 (TSSCI)。doi:10.6129/CJP.201809_60(3).0003.
[20].郭芳妤(2017)。從認知反應與腦波歷程探究排隊對於消費者等候決策之影響(碩士論文)。取自https://hdl.handle.net/11296/9kp5ud[21].陳惠貞(2017)。第一次學Python就上手。台北市:旗標科技股份有限公司。3。ISBN:978-986-312-437-5
[22].陳進昆(2013)。架構導向數位影像監控系統模型之研究(碩士論文)。取自 http://hdl.handle.net/11296/q79hug[23].陳會安(2015)。新觀念UML系統分析與設計實務 第二版。出版社:旗標。台灣:台北市。1-11~2-5。
[24].彭文正(譯)(2001)。資料採礦-顧客關係管理暨電子行銷之應用(原作者:Berry, M. J. & Linoff, G.S.)。臺北市:維科出版社。(原著出版年:1997)
[25].黃君瀚(2015年11月7日)。台南這間珍奶名店百人排隊 網友驚:比搶iPhone還誇張!。ETtoday東森新聞雲。取自http://www.ettoday.net/
[26].黃詩涵(2013)。排隊與餐飲服務業正面口碑策略行銷之研究(博士論文)。取自http://hdl.handle.net/11296/mt9h8g[27].廖若吟(2018)。以生理訊號探究代排現象-以腦波為例(碩士論文)。取自https://hdl.handle.net/11296/ejd885[28].劉哲宏與陳玄玲(譯)(2016)。資訊管理第7版(原作者:D. M., Kroenke & R.J., Boyle)。新北市:台灣培生教育,歐亞。
[29].蔡金峰(2013)。排隊行為知覺、知覺價值、滿意度與再購買意願關係之研究(碩士論文)。取自https://hdl.handle.net/11296/xqem7x[30].蔣騏安(2016)。餐廳排隊與報號系統之實作(碩士論文)。取自https://hdl.handle.net/11296/v52v76[31].鄭伊廷。(2019)。閃電式開發:站在風口上贏得市場,從0到100億的創業黃金公式。出版社:PCuSER電腦人文化。台灣:台北市。103-109,ISBN:978-957-2049-09-9。
[32].魯皓平(2017年11月10日)。厚奶茶退燒?細數這些年我們排隊的盲從。遠見雜誌。取自https://www.gvm.com.tw/article.html?id=40969
[33].簡禎富與許嘉裕(2014)。資料挖礦與大數據分析。新北市:前程文化,19。
[34].顏琪芳(2012)。排隊與消費者從眾傾向對產品預期價值的影響(碩士論文)。取自https://hdl.handle.net/11296/m293sf[35].羅章宏(2016)。運用事件相關電位 P300 訊號在消費者購買意願之研究-以即飲咖啡產品為例。中原大學工業與系統工程研究所學位論文, 1-53.
英文文獻
[1].Abhang, P. A., Gawali, B. W., & Mehrotra, S. C. (2016). Introduction to EEG- and Speech-Based Emotion Recognition. Academic Press. ISBN: 978-0-12-804490-2. 1-17, 127-163.
[2].Ackermann, P., Kohlschein, C., Bitsch, J. A., Wehrle, K., & Jeschke, S. (2016). EEG-based automatic emotion recognition: Feature extraction, selection and classification methods. 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). doi:10.1109/healthcom.2016.7749447
[3].Aftanas, L. I., & Golocheikine, S. A. (2001). Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation. Neuroscience letters, 310(1), 57-60. doi:10.1016/S0304-3940(01)02094-8.
[4].Aggarwal, C. C. (2015). Data mining: the textbook, Heidelberg: Springer.
[5].Agarwal, R., & Dhar, V. (2014). Big data, data science, and analytics: the opportunity and challenge for IS research, Information Systems Research, 25(3), 443-666. doi:10.1287/isre.2014.0546
[6].Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules. In Proc. 20th int. conf. very large data bases, VLDB, 1215, 487-499.
[7].Agrawal, R., & Srikant, R. (1995). “Mining sequential patterns,” The International Conference on Data Engineering, 95, 3–14.
[8].Aishwarya, S., & Ali, D. K. M. (2017). Neuromarketing and neuroethics–an emerging trend on evaluation of emotional responses of consumers to marketing stimuli. International Journal of Innovative Research in Management Studies (IJIRMS), 1(12), 27-30.
[9].Alvaro, F. (2016). PYTHON: Easy Python Programming For Beginners, Your Guide to Learning Python. CreateSpace.
[10].Amarbayar. A. (2014, July26). Data Mining – Definition, Techniques and Challenges [Web blog message]. Retrieved from https://amarbayara.wordpress.com/2014/07/26/data-mining-definition-techniques-and-challenges/
[11].Angadi, M. C., & Kulkarni, A. P. (2015). Time Series Data Analysis for Stock Market Prediction using Data Mining Techniques with R. International Journal of Advanced Research in Computer Science, 6(6).
[12].Arango-López, J., Orozco-Arias, S., Salazar, J. A., & Guyot, R. (2017, September). Application of data mining algorithms to classify biological data: the coffea canephora genome case. In Colombian Conference on Computing,156-170. Springer, Cham. doi:10.1007/978-3-319-66562-7_12
[13].Ariely, D., Berns, G.S.(2010). Neuromarketing: the hope and hype of neuroimaging in business. Nature Reviews Neuroscience, 11(4), 284–292
[14].Arnott, D., Lizama, F., & Song, Y. (2017). Patterns of business intelligence systems use in organizations. Decision Support Systems, 97, 58–68. doi:10.1016/j.dss.2017.03.005
[15].Arunachalam, S.P., Sir, M., & Pasupathy, K.S. (2017). Intelligent Healthcare: The Case of the Emergency Department. Actionable Intelligence in Healthcare, 65-83. CRC Press.
[16].Arvidsson, V., Holmström, J., & Lyytinen, K. (2014). Information systems use as strategy practice: A multi-dimensional view of strategic information system implementation and use. The Journal of Strategic Information Systems, 23(1), 45-61. doi:10.1016/j.jsis.2014.01.004
[17].Ayres, J., Flannick, J., Gehrke, J., & Yiu, T. (2002). Sequential pattern mining using a bitmap representation. In Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 429-435. ACM. doi:10.1145/775047.775109
[18].Bailey, D. L., Maisey, M. N., Townsend, D. W., & Valk, P. E. (2005). Positron emission tomography. London: Springer.
[19].Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal of marketing, 66(2), 120-141.
[20].Baker, M., Akrofi, K., Schiffer, R., & O’Boyle, M. W. (2008). EEG patterns in mild cognitive impairment (MCI) patients. The open neuroimaging journal, 2, 52. doi: 10.2174/1874440000802010052.
[21].Bakari, H. R., Chamalwa, H. A., & Baba, A. M. (2014). Queuing process and its application to customer service delivery (A case study of Fidelity Bank Plc, Maiduguri). International Journal of Mathematics and Statistics Invention, 2(1), 14-21.
[22].Bapna, R. (2014). Gateway To Python Programming. CreateSpace Independent Publishing Platform.
[23].Barandiaran, I. (1998). The random subspace method for constructing decision forests. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(8), 832–844.
[24].Batista, G. E., Prati, R. C., & Monard, M. C. (2004). A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD explorations newsletter, 6(1), 20-29. doi:10.1145/1007730.1007735
[25].Baumeister, J., Barthel, T., Geiss, K. R., & Weiss, M. (2008). Influence of phosphatidylserine on cognitive performance and cortical activity after induced stress. Nutritional Neuroscience, 11(3), 103–110. doi:10.1179/147683008x301478
[26].Bearden, W. O., & Etzel, M. J. (1982). Reference group influence on product and brand purchase decisions. Journal of Consumer Research, 9, 183–194. doi:10.1086/208911
[27].Berry,M.J., & Linoff, G.(1997). Data Mining Techniques: For Marketing, Sales, and Customer Support. New York, NY. John Wiley&Sons, Inc.
[28].Bettman, J. R., Chartrand, T. L.& Ferraro, R., (2009). The power of strangers: the effect of incidental consumer brand encounters on brand choice. Journal of Consumer Research, 35(5), 729–741. doi:10.1086/592944
[29].Bird, J. J., Ekart, A., Buckingham, C. D., & Faria, D. R. (2019). Mental emotional sentiment classification with an eeg-based brain-machine interface. In Proceedings of theInternational Conference on Digital Image and Signal Processing (DISP’19).
[30].Bischl, B., Lang, M., Kotthoff, L., Schiffner, J., Richter, J., Studerus, E., ... & Jones, Z. M. (2016). mlr: Machine Learning in R. The Journal of Machine Learning Research, 17(1), 5938-5942.
[31].Blakemore, S.J. & Frith, U. (2005). The Learning Bran: Lessons for Education. Oxford: Blackwell.
[32].Booch, G. (1998). Software Architecture and the UML. Retrieved from http://217.126.172.252/WebTecnica/Programacion/Objetos/02UML/Referencias/02Presentaciones/arch.pdf
[33].Booch, G., Rumbaugh, J., & Jacobson, I. (1999). The Unified Modeling Language User Guide. Reading, Mass: Addison Wesley.
[34].Boucsein, W. (2012). Electrodermal Activity. Springer. ISBN 978-1-4614-1125-3. doi: 10.1007/978-1-4614-1126-0.
[35].Bradley., A.P. (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognit, 30(7), pp. 1145–1159. doi:10.1016/s0031-3203(96)00142-2
[36].Breiman, L. (1996). Bagging predictors. Machine learning, 24(2), 123-140. doi:10.1007/bf00058655
[37].Breiman, L. (2001). Random Forests. Machine Learning, 45(1), 5–32. doi:10.1023/a:1010933404324
[38].Breiman, L. (2015). Random forests leo breiman and adele cutler [Web blog message]. Retrieved from https://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm
[39].Breiman, L. (2017). Classification and regression trees. Routledge. Retrieved from http://books.google. com/books (Original work published 1984)
[40].Carmon, Z., Shanthikumar, J. G., & Carmon, T. F. (1995). A psychological perspective on service segmentation models: The significance of accounting for consumers’ perceptions of waiting and service. Management Science, 41(11), 1806-1815. doi:10.1287/mnsc.41.11.1806
[41].Chapman, C., & Feit, E. M. (2019). An Overview of the R Language. In R For Marketing Research and Analytics, 13-45. Springer, Cham. doi:10.1007/978-3-030-14316-9_2
[42].Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002). SMOTE: synthetic minority over-sampling technique. Journal of artificial intelligence research, 16, 321-357.
[43].Chen, C. L., Tang, Y. W., Zhou, Y. F., & Chen, Y. X. (2017). Development of Audio and Visual Attention Assessment System in Combination with Brain Wave Instrument: Apply to Children with Attention Deficit Hyperactivity Disorder. In International Conference on Genetic and Evolutionary Computing , 153-161. Springer, Singapore. doi:10.1007/978-981-10-6487-6_19
[44].Chen, D.W., Miao, R., Yang, W.Q., Liang, Y., Chen, H.H., Huang, L., Deng, C.J., & Han, N. (2019). A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition. Sensors 2019, 19(7), 1631, doi:10.3390/s19071631.
[45].Chen, J., Hu, B., Moore, P., Zhang, X., & Ma, X. (2015). Electroencephalogram-based emotion assessment system using ontology and data mining techniques. Applied Soft Computing, 30, 663-674.
[46].Chen, P. P. S. (1976). The entity-relationship model—toward a unified view of data. ACM Transactions on Database Systems (TODS), 1(1), 9-36.
[47].Chintagunta, P., Hanssens, D. M., & Hauser, J. R. (2016). Marketing and data science: Together the future is ours. GfK Marketing Intelligence Review, 8(2), 18-23.
[48].Cline, T. W., Davies, A., & Grewal, R., (2003). Early-entrant advantage, word-of-mouth communication, brand similarity, and the consumer decision-making process. Journal of Consumer Psychology, 13, 187–197. doi:10.1207/s15327663jcp1303_01
[49].Coffey, K. (2016, August 13). k-means Clustering for Customer Segmentation: A Practical Example. [Web blog message]. Retrieved from http://www.kimberlycoffey.com/blog/2016/8/k-means-clustering-for-customer-segmentation
[50].del Mar Pàmies, M., Ryan, G., Valverde, M. (2018). ¿ De quién es la culpa? Un estudio exploratorio de las causas de la espera en los servicios. Innovar: Revista de ciencias administrativas y sociales, 28(67), 11-23.
[51].Dalgleish, T. (2004). The emotional brain. Nature Reviews Neuroscience, 5(7), 583 – 589.
[52].Daniel, Ţ. D., & Neagu, M. (2018). Cancelling Harmonic Power Line Interference in Biopotentials, Compendium of New Techniques in Harmonic Analysis, doi:10.5772/intechopen.74579
[53].Davenport, T. H. (2014). Big data at work: dispelling the myths, uncovering the opportunities. Harvard Business Review Press, 2-7.
[54].Delorme, A., & Makeig, S. (2004). EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of neuroscience methods, 134(1), 9-21. doi:10.1016/j.jneumeth.2003.10.009
[55].Devra, N., Vyas, S., & Vyas, V. (2014). Application of Management Information System in Marketing Management. International Journal of Information & Computation Technology, 4(17), 1825-1829.
[56].Dimpfel, W. (2015). Neuromarketing: Neurocode-Tracking in Combination with Eye-Tracking for Quantitative Objective Assessment of TV Commercials. Journal of Behavioral and Brain Science, 5(04), 137.
[57].Domino, E. F., Ni, L., Thompson, M., Zhang, H., Shikata, H., Fukai, H., … Ohya, I. (2009). Tobacco smoking produces widespread dominant brain wave alpha frequency increases. International Journal of Psychophysiology, 74(3), 192–198. doi:10.1016/j.ijpsycho.2009.08.011
[58].Duchowski, A. T. (2007). Eye tracking methodology: Theory and Practice. London: Springer, Verlag. ISBN 978-1-84628-608-7. doi:10.1007/978-3-319-57883-5
[59].Duffy, F. H. (Ed.). (2013). Topographic mapping of brain electrical activity. Butterworth-Heinemann.
[60].Duncan, C.C. Barry, R. J., Connolly, J.F., Fischer, C., Michie, P.T., Näätänen, R., & Van Petten, C.(2009).Event-related potentials in clinical research: guidelines for eliciting, recording, and quantifying mismatch negativity, P300, and N400. Clinical Neurophysiology, 120(11), 1883-1908. doi:10.1016/j.clinph.2009.07.045
[61].Duncan, J., & Owen, A. M. (2000). Common regions of the human frontal lobe recruited by diverse cognitive demands. Trends in neurosciences, 23(10), 475-483.
[62].Dwivedi, Y. K., Wastell, D., Laumer, S., Henriksen, H. Z., Myers, M. D., Bunker, D., ... & Srivastava, S. C. (2015). Research on information systems failures and successes: Status update and future directions. Information Systems Frontiers, 17(1), 143-157.
[63].Edla, D.R., Mangalorekar, K., Dhavalikar, G., & Dobia, S. (2018). Classification of EEG data for human mental state analysis using Random Forest Classifier. rocedia Computer Science, 132, 1523-1532.
[64].Farzi, S., Kianian, S., & Rastkhadive, I. (2017). Diagnosis of attention deficit hyperactivity disorder using deep belief network based on greedy approach. 2017 5th International Symposium on Computational and Business Intelligence (ISCBI). 96-99. doi:10.1109/iscbi.2017.8053552.
[65].Fisch, B. Spehlmann, R. (1999). EEG Primer 3rd Edition: Basic Principles of Digital and Analog EEG. Amsterdam, New York, Elsevier.
[66].Fisher, C. E., Chin, L., & Klitzman, R. (2010). Defining neuromarketing: Practices and professional challenges. Harvard Review of Psychiatry, 18, 230–237. doi:10.3109/10 673229.2010.496623
[67].Foster, J. J., Sutterer, D. W., Serences, J. T., Vogel, E. K., & Awh, E. (2017). "Alpha-Band Oscillations Enable Spatially and Temporally Resolved Tracking of Covert Spatial Attention". Psychological science. 28 (7), 929–941. doi:10.1177/0956797617699167.
[68].Fournier-Viger, P., Gomariz, A., Campos, M., & Thomas, R. (2014). “Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information,” The Pacific-Asia Conference on Knowledge Discovery and Data Mining, 40–52. Springer, Cham. doi:10.1007/978-3-319-06608-0_4
[69].Fournier-Viger, P., Lin, J. C. W., Kiran, R. U., Koh, Y. S., & Thomas, R. (2017). A survey of sequential pattern mining. Data Science and Pattern Recognition, 1(1), 54-77.
[70].Friman, M. (2010). Affective dimensions of the waiting experience. Transportation Research Part F: Traffic Psychology and Behaviour, 13(3), 197–205. doi:10.1016/j.trf.2010.04.006
[71].Fugate, D. L. (2007). Neuromarketing: a layman's look at neuroscience and its potential application to marketing practice. Journal of Consumer Marketing, 24(7), 385-394. doi:10.1108/07363760710834807
[72].Furnham, A.( 2017). The Psychology of Queuing Why is waiting in line so horrid?. Retrieved from https://www.psychologytoday.com/blog/sideways-view/201704/the-psychology-queuing
[73].Gartner, Inc. (NYSE: IT and ITB). (2017, January 12). Gartner Says Worldwide IT Spending Forecast to Grow 2.7 Percent in 2017. Gartner Retrieved from http://www.gartner.com/newsroom/id/3568917
[74].Giebelhausen, M. D., Robinson, S. G., & Cronin, J. J. (2011). Worth waiting for: increasing satisfaction by making consumers wait. Journal of the Academy of Marketing Science, 39(6), 889-905.
[75].Green, J. D., & Arduini, A. A. (1954). HIPPOCAMPAL ELECTRICAL ACTIVITY IN AROUSAL. Journal of Neurophysiology, 17(6), 533–557. doi:10.1152/jn.1954.17.6.533
[76].Hakim, A., & Levy, D. J. (2018). A gateway to consumers’ minds: Achievements, caveats, and prospects of electroencephalography-based prediction in neuromarketing. Wiley Interdisciplinary Reviews: Cognitive Science, e1485. doi:10.1002/wcs.1485
[77].Hamm, J., Kohler, C. G., Gur, R. C., & Verma, R. (2011). Automated Facial Action Coding System for dynamic analysis of facial expressions in neuropsychiatric disorders. Journal of Neuroscience Methods, 200(2), 237–256. doi:10.1016/j.jneumeth.2011.06.023
[78].Han, H. J., Kamber, M., & Pei, J. (2011). Data Mining : Concepts and Techniques, 3/e (Hardcover). Burlington, Massachusetts: Morgan Kaufmann.
[79].Han, J., Pei, J., Mortazavi-Asl, B., Chen, Q., Dayal, U., & Hsu, M. C. (2000). FreeSpan: frequent pattern-projected sequential pattern mining. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 355-359). ACM. doi:10.1145/347090.347167.
[80].Hazeldine, S. (2013). Neuro-sell: How neuroscience can power your sales success. 1-3. Kogan Page, London: Kogan Page Publishers. Retrieved from http://books.google.
[81].Hensel, D., Wolter, L. C., & Znanewitz, J. (2017). A guideline for ethical aspects in conducting neuromarketing studies. In Ethics and Neuromarketing. 65-87. Springer, Cham.
[82].Hensel, D., Iorga, A., Wolter, L., & Znanewitz, J. (2017). Conducting neuromarketing studies ethically-practitioner perspectives. Cogent Psychology, 4(1), 1320858. doi:10.1080/23311908.2017.1320858
[83].Herrmann, C. S., & Mecklinger, A. (2001). Gamma activity in human EEG is related to highspeed memory comparisons during object selective attention. Visual Cognition, 8(3-5), 593-608. doi:10.1080/13506280143000142
[84].Hsu, W. Y., Lu, J. Y., Chien, C. C., Hsieh, M. C., & Wang, Y. H. (2017, January). Emotion and Concentration Integrated System: Applied to the Detection and Analysis of Consumer Preference. In Proceedings of the 50th Hawaii International Conference on System Sciences. Doi: 10.24251/HICSS.2017.182
[85].Huaulmé, A., Voros, S., Riffaud, L., Forestier, G., Moreau-Gaudry, A., & Jannin, P. (2017). Distinguishing surgical behavior by sequential pattern discovery. Journal of Biomedical Informatics, 67, 34–41. doi:10.1016/j.jbi.2017.02.001
[86].Huettel, S., Plassmann, H., Venkatraman, V., & Yoon, C. (2015). Consumer Neuroscience: Applications, Challenges, and Possible Solutions. Journal of Marketing Research, (52)4, 427-435.
[87].Ihaka, R., & Gentleman, R. (1996). R: a language for data analysis and graphics. Journal of computational and graphical statistics, 5(3), 299-314.
[88].Inui, K., Motomura, E., Kaige, H., & Nomura, S. (2008). "Temporal Slow Waves and Cerebrovascular Diseases. Psychiatry and Clinical Neurosciences. 55(5), 525-31. Wiley Online Library.
[89].Ji, N., Wang, J., Dai, J., Li, J., & Hou, F. (2017). Multiscale mutual mode entropy in theta brain wave analysis for epilepsy. 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 1-5. doi:10.1109/cisp-bmei.2017.8302229
[90].Kanizsa, G. (1976). Subjective contours. Scientific American, 234(4), 48-53.
[91].Kasneci, E., Kübler, T., Broelemann, K., & Kasneci, G. (2017). Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth. Computers in Human Behavior, 68, 450–455. doi:10.1016/j.chb.2016.11.067
[92].Kaushik, S. (2016, NOVEMBER 3). An Introduction to Clustering and different methods of clustering [Web blog message]. Retrieved from https://www.analyticsvidhya.com/blog/2016/11/an-introduction-to-clustering-and-different-methods-of-clustering/
[93].Keil, A., Müller, M. M., Gruber, T., Wienbruch, C., Stolarova, M., & Elbert, T. (2001). Effects of emotional arousal in the cerebral hemispheres: a study of oscillatory brain activity and event-related potentials. Clinical Neurophysiology, 112(11), 2057–2068. doi:10.1016/s1388-2457(01)00654-x
[94].Khushaba, R. N., Wise, C., Kodagoda, S., Louviere, J., Kahn, B. E., & Townsend, C. (2013). Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking. Expert Systems with Applications, 40(9), 3803–3812. doi:10.1016/j.eswa.2012.12.095
[95].Kimball, R., & Ross, M. (2002). The data warehouse toolkit: the complete guide to dimensional modeling 2nd ed.New York: John Wiley & Sons. ISBN 0-471-20024-7
[96].Kimball, R., & Caserta, J. (2004) The Data Warehouse ETL Toolkit: Practical Techniques for Extracting; Cleaning; Conforming; and Delivering Data, Wiley Online Library.
[97].Koehrsen, W. (2017, Dec 28). Random Forest Simple Explanation. Medium [Web blog message]. Retrieved from https://medium.com/@williamkoehrsen/random-forest-simple-explanation-377895a60d2d
[98].Krausová, A. (2017). NEUROMARKETING FROM A LEGAL PERSPECTIVE. International Journal for Legal Research. 7(1), 40-49.
[99].Kumar, A., & Singh, A. (2015). A review on Alzheimer's disease pathophysiology and its management: an update. Pharmacological Reports, 67(2), 195-203.
[100].Kumar, R., Sobhy, H., Stenberg, P., & Lizana, L. (2017). Genome contact map explorer: a platform for the comparison, interactive visualization and analysis of genome contact maps. Nucleic acids research, 45(17), e152-e152.
[101].Langseth, J., & Vivatrat, N. (2003). “Why Proactive Business Intelligence is a Hallmark of the Real-Time Enterprise: Outward Bound,” Intelligent Enterprise, 5(18), 34-41.
[102].Larson, R. C., Larson, B. M., & Katz, K. L. (1991). Prescription for waiting–in line blues: Entertain, enlighten and engage. Sloan Management review,(winter), 32(2), 44-55.
[103].Leclerc, F., Schmitt, B. H., & Dube, L. (1995). Waiting Time and Decision Making: Is Time like Money? Journal of Consumer Research, 22(1), 110. doi:10.1086/209439
[104].Lee, N., Broderick, A. J., & Chamberlain, L. (2007). What is “neuromarketing”? A discussion and agenda for future research. International Journal of Psychophysiology, 63(2), 199–204. doi:10.1016/j.ijpsycho.2006.03.007
[105].Lee, Y., Chen, A. N. K., & Hess, T. (2017). The Online Waiting Experience: Using Temporal Information and Distractors to Make Online Waits Feel Shorter. Journal of the Association for Information Systems, 18(3).
[106].Lega, B. C., Jacobs, J., & Kahana, M. (2012). "Human hippocampal theta oscillations and the formation of episodic memories". Hippocampus. 22(4): 748–761. doi:10.1002/hipo.20937
[107].Legaspi, R., Sodkomkham, D., Maruo, K., Fukui, K., Moriyama, K., Kurihara, S., & Numao, M. (2012). Time-Interval Clustering in Sequence Pattern Recognition as Tool for Behavior Modeling. In Theory and Practice of Computation, 174-186. Springer, Tokyo.
[108].Li, B. R., Wang, Y., & Wang, K. S. (2017). A novel method for the evaluation of fashion product design based on data mining. Advances in Manufacturing, 5(4), 370-376. Doi: https://doi.org/10.1007/s40436-017-0201-x
[109].Liang, C.-C. (2016). Queueing management and improving customer experience: empirical evidence regarding enjoyable queues. Journal of Consumer Marketing, 33(4), 257–268. doi:10.1108/jcm-07-2014-1073
[110].Liang, C.-C. (2017). Enjoyable queuing and waiting time. Time & Society, 0961463X1770216. doi:10.1177/0961463x17702164
[111].Lin, Y.C. (2009). RFID-Enabled Analysis of Care Coordination and Patient Flow in Ambulatory Care. Carnegie Mellon University.
[112].Lin, Y. T., Xia, K. N., & Bei, L. T. (2015). Customer's perceived value of waiting time for service events. Journal of Consumer Behaviour, 14(1), 28-40.
[113].Liu, X.Y., Wu, J., & Zhou, Z.H. (2009). Exploratory undersampling for classimbalance learning. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39(2). 539–550. doi: 10.1109/TSMCB.2008.2007853
[114].Loomis, M. E., Shah, A. V., & Rumbaugh, J. E. (1987). An object modeling technique for conceptual design. In European Conference on Object-Oriented Programming, 192-202. Springer, Berlin, Heidelberg. doi:10.1007/3-540-47891-4_18
[115].López, E. D. (2017). El neuromarketing como herramienta para el estudio del consumidor. Revista Iberoamericana de Producción Académica y Gestión Educativa, 4(8).
[116].Lotrakul, M., Sumrithe, S., and Saipanish, R. (2008). Reliability and validity of the Thai version of the PHQ-9. BMC Psychiatry, 8(46), 1-7. doi:10.1186/1471-244x-8-46
[117].Lou, S., Feng, Y., Zheng, H., Gao, Y., & Tan, J. (2018). Data-driven customer requirements discernment in the product lifecycle management via intuitionistic fuzzy sets and electroencephalogram. Journal of Intelligent Manufacturing, 1-16. doi:10.1007/s10845-018-1395-x
[118].Luck, S. J., Woodman, G. F., & Vogel, E. K. (2000). Event-related potential studies of attention. Trends in Cognitive Sciences, 4(11), 432–440. doi:10.1016/s1364-6613(00)01545-x
[119].Magistretti, P. J., & Pellerin, L. (1999). Cellular mechanisms of brain energy metabolism and their relevance to functional brain imaging. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 354(1387), 1155-1163. doi:10.1098/rstb.1999.0471
[120].Magsino, E. R., & Ho, I. W. H. (2016). An intelligent highway tollgate queue selector for improving server utilization and vehicle waiting time. 2016 IEEE Region 10 Symposium (TENSYMP), 271-276. doi:10.1109/tenconspring.2016.7519417
[121].Mähring, M., Remus, U., Wiener, M., & Saunders, C. (2016). Control Configuration and Control Enactment in Information Systems Projects: Review and Expanded Theoretical Framework. MIS Quarterly, 40(3), 741-774.
[122].Malmivuo, P., Malmivuo, J., Plonsey, R., 1995. Bioelectromagnetism—Principles and Applications of Bioelectric and Biomagnetic Fields, Oxford University Press.
[123].Martini, F. H., & Bartholomew, E. F. (2002). Essentials of Anatomy and Physiology with CD-ROM 3rd. 263. ISBN 978-0-13-061567-1. Benjamin Cummings.
[124].Matukin, M., Ohme, R., & Boshoff, C. (2016). Toward a Better Understanding Of Advertising Stimuli Processing: Exploring the Link Between Consumers' Eye Fixation and Their Subconscious Responses. Journal of Advertising Research, 56(2), 205-216. doi:10.2501 / JAR-2016-017
[125].McAfee A, Brynjolfsson E (2012) Big data: the management revolution. Harvard Bus Rev 90(3), 60–66.
[126].McDuff, D. (2016). Discovering facial expressions for states of amused, persuaded, informed, sentimental and inspired. Proceedings of the 18th ACM International Conference on Multimodal Interaction, 71-75. New York. ISBN: 978-1-4503-4556-9. doi:10.1145/2993148.2993192
[127].Mickelson, S. (2016). Python Programming and Visualization for Scientists. Bulletin of the American Meteorological Society, 97(12), 2396-2398.
[128].Miles, J. (2016). The application of Neuromarketing in the specialist subject of Business and Marketing. Academia.
[129].Morin, C. (2011). Neuromarketing: The New Science of Consumer Behavior. Society, 48(2), 131–135. doi:10.1007/s12115-010-9408-1
[130].Mourõo, R.N., Carvalho, R.S., Carvalho, R.N., & Ramos, G.N. (2017). Predicting Waiting Time Overflow on Bank Teller Queues. 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). doi:10.1109/icmla.2017.00-51
[131].Muhajir, A., & Binatari, N. (2017). Queueing system analysis of multi server model at XYZ insurance company in Tasikmalaya city. In AIP Conference Proceedings, 1868(1), 040004. AIP Publishing. doi:10.1063/1.4995119
[132].Muller, E., Bednar, J. A., Diesmann, M., Gewaltig, M. O., Hines, M., & Davison, A. P. (2015). Python in neuroscience. Frontiers in neuroinformatics, 9, 11.
[133].Müller, M. M., Gruber, T., & Keil, A. (2000). Modulation of induced gamma band activity in the human EEG by attention and visual information processing. International Journal of Psychophysiology, 38(3), 283–299. doi:10.1016/s0167-8760(00)00171-9
[134].Murray, K. B. (1991). A test of services marketing theory: consumer information acquisition activities. Journal of Marketing, 55(1), 10–25. doi:10.1177/002224299105500102
[135].Marwaha, A., & Ahuja, S. (2017). A review on identifying influencing factors and data mining techniques best suited for analyzing students' performance. In 2017 International Conference on Big Data Analytics and Computational Intelligence 373-378. IEEE. DOI: 10.1109 / ICBDACI.2017.8070866
[136].MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, 1(14), 281-297.
[137].Näätänen, R., Gaillard, A. W. K., & Mäntysalo, S. (1978). Early selective-attention effect on evoked potential reinterpreted. Acta Psychologica, 42(4), 313–329. doi:10.1016/0001-6918(78)90006-9
[138].Negash, S., & Gray, P. (2008). Business Intelligence. Handbook on Decision Support Systems 2, 175–193. doi:10.1007/978-3-540-48716-6_9
[139].NeuroSky. (2016). How to convert raw values to voltage? Retrieved from http://support.neurosky.com/kb/science/how-to-convert-raw-values-to-voltage
[140].Niedermeyer, E., & da Silva, F. L. (Eds.). (2005). Electroencephalography: basic principles, clinical applications, and related fields. Lippincott Williams & Wilkins.
[141].Oya, H., Kawasaki, H., Howard, M. A., & Adolphs, R. (2002). Electrophysiological Responses in the Human Amygdala Discriminate Emotion Categories of Complex Visual Stimuli. The Journal of Neuroscience, 22(21), 9502–9512. doi:10.1523/jneurosci.22-21-09502.2002
[142].Ohta, M., Watanabe, Y., & Miyazaki, T. (2015). Spatiotemporal analysis of rambling activities: approach to inferring visitor satisfaction. In Information and Communication Technologies in Tourism 2015, 551-563. Springer, Cham.
[143].Okoshi, T., Lu, Y., Vig, C., Lee, Y., Balan, R. K., & Misra, A. (2015). Queuevadis: Queuing analytics using smartphones. In Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 214-225. ACM.
[144].Palva, S., & Palva, J. M. (2007). New vistas for α-frequency band oscillations. Trends in Neurosciences, 30(4), 150–158. doi:10.1016/j.tins.2007.02.001
[145].Pei, J., Han, J., Mortazavi-Asl, B., Pinto, H., Chen, Q., Dayal, U., & Hsu, M. C. (2001). Prefixspan: Mining sequential patterns efficiently by prefix-projected pattern growth. In Proceedings 17th international conference on data engineering, 215-224. IEEE.
[146].Pei, J., Han, J., Mortazavi-Asl, B., Wang, J., Pinto, H., Chen, Q., ... & Hsu, M. C. (2004). Mining sequential patterns by pattern-growth: The prefixspan approach. IEEE Transactions on knowledge and data engineering, 16(11), 1424-1440. doi:10.1109/tkde.2004.77
[147].Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson, R., ... Taylor, M. J. (2000). Guidelines for using human event-related potentials to study cognition: Recording standards and publication criteria. Psychophysiology, 37(2), 127-152.
[148].Polamuri, S. (2017). How Random Forest Algorithm Works in Machine Learning. Medium. [Web blog message]. Retrieved from website: https://dataaspirant.com/2017/05/22/random-forest-algorithm-machine-learing/
[149].Polich, J. (2007). Updating P300: an integrative theory of P3a and P3b. Clinical neurophysiology, 118(10), 2128-2148.
[150].Polich, J., & Kok, A. (1995). “Cognitive and biological determinants of P300: an integrative review,”Biological psychology, 41(2),103-146.
[151].POPESCU, G., & IOSIM, I. (2012). New tendencies in consumer behaviour. Agricultural Management/Lucrari Stiintifice Seria I, Management Agricol, 14(2).
[152].Radack, S. (2009). The system development life cycle (sdlc). National Institute of Standards and Technology. csrc.nist.gov.
[153].Rahaman, M.S., Hamilton, M., Salim, F. D. (2017). Predicting Imbalanced Taxi and Passenger Queue Contexts in Airport. Twenty First Pacific Asia Conference on Information Systems, Langkawi, Malaysia, 1-12.
[154].Rao, W., Xia, J., Lyu, W., An, C., & Lu, Z. (2016). A K-means Clustering Method to Urban Intersection Traffic State Identification Using Interval Data (No. 16-4769). Paper presented at the Transportation Research Board 95th Annual Meeting, Washington DC. Abstract retrieved from https://trid.trb.org/view/1393786.
[155].Rieg, T., Frick, J., Hitzler, M., & Ricardo, B. (2019). High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method. Proceedings of the 52nd Hawaii International Conference on System Sciences, 3769-3777. ISBN: 978-0-9981331-2-6.
[156].Roth, V. A. (2014). The potential of neuromarketing as a marketing tool (Bachelor's thesis, University of Twente).
[157].Rutter, M., Taylor, E. A., & Hersov, L. (2002). Child and adolescent psychiatry. Oxford: Blackwell Science. 162. ISBN 0-632-05361-5.
[158].Sanchez-Franco, M. J., & Rondan-Cataluña, F. J. (2010). Virtual travel communities and customer loyalty: Customer purchase involvement and web site design. Electronic Commerce Research and Applications, 9(2), 171-182. doi:10.1016/j.elerap.2009.05.004
[159].Satel, S., & Lilienfeld, S. (2013). Brainwashed - the seductive appeal of mindless neuroscience. Retrieved from http://reports-archive.adm.cs.cmu.edu/anon/2005/CMUCS-05-151.pdf
[160].Sauseng, P., Klimesch, W., Heise, K. F., Gruber, W. R., Holz, E., Karim, A. A., … Hummel, F. C. (2009). Brain Oscillatory Substrates of Visual Short-Term Memory Capacity. Current Biology, 19(21), 1846–1852. doi:10.1016/j.cub.2009.08.062
[161].Sawe, N.(2017). Using neuroeconomics to understand environmental valuation. Ecological Economics, 135, 1-9. doi:10.1016/j.ecolecon.2016.12.018
[162].Senderovich, A., Weidlich, M., Gal, A., & Mandelbaum, A. (2014). Mining resource scheduling protocols. In International Conference on Business Process Management. 200-216, Springer, Cham.
[163].Seo, S. H., & Lee, J. T. (2010). Stress and EEG. In Convergence and hybrid information technologies. IntechOpen.
[164].Shen, C. C., & Chuang, H. M. (2009). A Study on the Applications of Data Mining Techniques to Enhance Customer Lifetime Value. WSEAS TRANSACTIONS on INFORMATION SCIENCE and APPLICATIONS, 6(2), 319-328.
[165].Shin, D., Nam, Y., Shin, D., & Shin, D. (2017). Real-Time Human Depression Diagnosis System Using Brain Wave Analysis. In Advanced Multimedia and Ubiquitous Engineering, 412-418. Springer, Singapore. doi:10.1007/978-981-10-5041-1_67
[166].Singer, T. (2001). Information engineering: the search for business intelligence. Plant Engineering, 34–36.
[167].Smith, G. L., Xu, Y., Buchholz, T. A., Giordano, S. H., Jiang, J., Shih, Y. C. T., & Smith, B. D. (2012). Association between treatment with brachytherapy vs whole-breast irradiation and subsequent mastectomy, complications, and survival among older women with invasive breast cancer. Jama, 307(17), 1827-1837.doi:10.1001/jama.2012. 3481
[168].Soleymani, M., Asghari-Esfeden, S., Fu, Y., & Pantic, M. (2016). Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection. IEEE Transactions on Affective Computing, 7(1), 17–28. doi:10.1109/taffc.2015.2436926
[169].Srikant, R., & Agrawal, R. (1996). “Mining sequential patterns: Generalizations and performance improvements,” The International Conference on Extending Database Technology, 1057, 1–17. Springer, Berlin, Heidelberg
[170].Stemple, J. C., & Hapner, E. R. (2019). Voice therapy: Clinical case studies. Plural Publishing.
[171].Steven, J.L. (2005). An Introduction To The Event-Related Potential Technique. The MIT Press, A Bradford Book
[172].Stöppler, M. C. (2018). CT Scan (Computerized Tomography, CAT Scan). MedicineNet. cat scan article. Retrieved from https://www.medicinenet.com/cat_scan/article.htm#ct_scan_facts
[173].Sulqui, C., & Verónica, V. (2017). El neuromarketing en la gestión empresarial. Repositorio Universidad Técnica de Ambato. Retrieved from http://repositorio.uta.edu.ec/jspui/handle/123456789/26107
[174].Sun, J. C.-Y., Hwang, G.-J., Lin, Y.-Y., Yu, S.-J., Pan, L.-C., & Chen, A. Y.-Z. (2018). A Votable Concept Mapping Approach to Promoting Students’ Attentional Behavior: An Analysis of Sequential Behavioral Patterns and Brainwave Data. Educational Technology & Society, 21 (2), 177–191.
[175].Schnotz, W. (2005). Congnitive theory of multimedia learning. In Mayer, R. E. (Ed.), The Cambridge handbook of multimedia learning, 49-70. New York, NY: University of Cambridge.
[176].Tabakcıoğlu, M., Çizmeci, H., & Ayberkin, D. (2016). Neurosky EEG Biosensor Using in Education. International Journal of Applied Mathematics, Electronics and Computers, 4(Special Issue-1), 76-78.
[177].Tat, M. J. (2017, Apr 16). Seeing the random forest from the decision trees: An explanation of Random Forest. Medium [Web blog message]. Retrieved from https://towardsdatascience.com/seeing-the-random-forest-from-the-decision-trees-an-intuitive-explanation-of-random-forest-beaa2d6a0d80
[178].Tecce, J. J. (1972). Contingent negative variation (CNV) and psychological processes in man. Psychological Bulletin, 77(2), 73–108. doi:10.1037/h0032177
[179].Teplan, M. (2002). Fundamentals of EEG measurement. Measurement science review, 2(2), 1-11.
[180].Tesche, C. D., & Karhu, J.(2000). Theta oscillations index human hippocampal activation during a working memory task. PNAS. National Academy of Sciences. 97 (2), 919-924. doi:10.1073/pnas.97.2.919
[181].Tichý, P. R. J. (2014). EYE TRACKING AS A METHOD OF GETTING FEEDBACK IN NEUROMARKETING. CER Comparative European Research 2015, 41-44
[182].Tomasini, M., Benatti, S., Milosevic, B., Farella, E., & Benini, L. (2016). Power Line Interference Removal for High-Quality Continuous Biosignal Monitoring With Low-Power Wearable Devices. IEEE Sensors Journal, 16(10), 3887–3895. doi:10.1109/jsen.2016.2536363
[183].Ulman, Y. I., Cakar, T., & Yildiz, G. (2015). Ethical issues in neuromarketing: “I Consume, Therefore I am!”. Science and Engineering Ethics, 21(5), 1271–1284. doi:10.1007/ s11948-014-9581-5
[184].Van Ede, F., de Lange, F., Jensen, O., & Maris, E. (2011). Orienting attenton to an upcoming tactile event involves a spatially and temporally specific modulation of sensorimotor alpha-and beta-band oscillations. The Journal of neuroscience, 31(6), 2016-2024.
[185].Van Horn, J. D., & Gazzaniga, M. S. (2013). Why share data? Lessons learned from the fMRIDC. Neuroimage, 82, 677-682. doi:10.1016/j.neuroimage.2012.11.010
[186].VanderPlas, J. (2016). Python Data Science Handbook. Sebastopol, California: O'Reilly Media, Inc. 421-432.
[187].Veena, G. S., Sneha, D., Basavaraju, D., & Tanvi, T. (2018). Effective Analysis and Diagnosis of Liver Disorder. 2018 International Conference on Communication and Signal Processing (ICCSP). doi:10.1109/iccsp.2018.8524347.
[188].WALTER, W. G., COOPER, R., ALDRIDGE, V. J., McCALLUM, W. C., & WINTER, A. L. (1964). Contingent Negative Variation: An Electric Sign of Sensori-Motor Association and Expectancy in the Human Brain. Nature, 203(4943), 380–384. doi:10.1038/203380a0
[189].Wamba, S.F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). “How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study,” International Journal of Production Economics, 165, 234-246. doi:10.1016/j.ijpe.2014.12.031
[190].Watters, A., Ahlstrom, J.C., Rossum,G.V.(1996).Internet Programming with Python, Henry Holt and Co., Inc., New York, NY
[191].Wedel, M., & Kannan, P. K. (2016). Marketing Analytics for Data-Rich Environments. Journal of Marketing, 80(6), 97–121. doi:10.1509/jm.15.0413
[192].Wiener, M., Cram, A., & Remus, U. (2017). The View From the Top–How Senior Executives Exercise Control Over Information Systems Projects to Enhance Performance.
[193].Willen, C. (2002) “Airborne Opportunities”, Intelligent Enterprise, 5(2), 11-12.
[194].Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2013). Data mining with big data. IEEE transactions on knowledge and data engineering, 26(1), 97-107.
[195].XU, Y. (2015). Knowledge Management in Big Data Times. 2015 IEEE Fifth International Conference on Big Data and Cloud Computing. doi:10.1109/bdcloud.2015.10
[196].Yeşilot, F. (2018). DUYULARIN ÖTESİNDE: BİLİNÇALTI ETKİLER VE NÖROPAZARLAMA. Ayrıntı Dergisi, 6(62).
[197].Yücel, A., & ŞİMŞEK, A. İ. (2018). TÜKETİCİ DAVRANIŞLARINI ANALİZ ETMEDE NÖROPAZARLAMA YÖNTEM VE ARAÇLARININ KULLANIMI. İnönü University International Journal of Social Sciences, 7(1), 118-142. Retrieved from http://dergipark.org.tr/inijoss/issue/38239/429884
[198].Yudofsky, S.C., & Hales, R. E. (2008). The American Psychiatric Publishing Textbook of Neuropsychiatry and Behavioral Neurosciences, Fifth Edition (American Psychiatric Press Textbook of Neuropsychiatry). American Psychiatric Publishing, Inc. ISBN 1-58562-239-7.
[199].Zaki, M. J. (2001). “SPADE: An efficient algorithm for mining frequent sequences,” Machine learning, 42(1-2), 31–60. doi:10.1023/a:1007652502315