Business data mining — a machine learning perspective

Allen, 1994, Case-based reasoning: business applications, Communications of the ACM, 37, 40, 10.1145/175247.175250 Anand, 1998, A data mining methodology for cross-sales, Knowledge-Based Systems, 10, 449, 10.1016/S0950-7051(98)00035-5 T. Anand, G. Kahn, Focusing knowledge-based techniques on market analysis, IEEE Expert (1993), pp. 19–24. Anand, 1995, Opportunity Explorer: navigating large databases using knowledge discovery templates, Journal of Intelligent Information Systems, 4, 27, 10.1007/BF00962820 Apte, 1997, Data mining with decision trees and decision rules, Future Generation Computer Systems, 13, 197, 10.1016/S0167-739X(97)00021-6 D.S. Barr, G. Mani, Using neural nets to manage investments, AI Expert (1994), pp. 16–21. B.G. Becker, Using MineSet for knowledge discovery, IEEE Computer Graphics and Application (1997), pp. 75–78. F. Bergadano, D. Gunetti, Inductive Logic Programming, The MIT Press, Cambridge, MA, 1996. A. Berson, S.J. Smith, Data Warehousing, Data Mining and OLAP, McGraw-Hill, New York, 1997. Bhargava, 1999, Data mining by decomposition, INFORMS Journal on Computing, 11, 239, 10.1287/ijoc.11.3.239 Bhattacharya, 1999, Direct marketing performance modeling using genetic algorithms, INFORMS Journal on Computing, 11, 248, 10.1287/ijoc.11.3.248 Brachman, 1996, Mining business databases, Communications of the ACM, 39, 42, 10.1145/240455.240468 P. Buta, Mining for financial knowledge with CBR, AI Expert (1994), pp. 34–41. C. Carter, J. Catlett, Assessing credit card applications using machine learning, IEEE Expert Fall (1987), pp. 71–79. S. Chakrabarti, B.E. Dom, S.R. Kumar, P. Raghavan, S. Rajagopalan, A. Tomkins, D. Gibson, J. Kleinberg, Mining the Web’s link structure, IEEE Computer (1999), pp. 60–67. M.S. Chen, J.S. Park, P.S. Yu, Data mining for path traversal patterns in a Web environment, in: Proceedings of the Sixteenth International Conference on Distributed Computing Systems, 1996, pp. 385–392. R. Cooley, B. Mobasher, J. Srivastava, Web Mining: information and pattern discovery on the World Wide Web, in: Proceedings of the Ninth IEEE International Conference on Tools with Artificial Intelligence, 1997, pp. 558–567. Craven, 1997, Using neural networks for data mining, Future Generation Computer Systems, 13, 211, 10.1016/S0167-739X(97)00022-8 M. Craven, S. Slattery, K. Nigam, First-order learning for Web Mining, in: Proceedings of the Tenth European Conference on Machine Learning, Chemnitz, 1998, pp. 250–255. Daengdej, 1999, Using statistical models and case-based reasoning in claims prediction: experience from a real-world problem, Knowledge-Based Systems, 12, 239, 10.1016/S0950-7051(99)00015-5 S.L. Dale, T. Bench-Capon, Data mining tool for producing characteristic classifications in the legal domain, in: Proceedings of the International Conference on Database and Expert Systems Applications, 1997, pp. 186–191. Etzioni, 1996, The World Wide Web: Quagmire or Gold Mine?, Communications of the ACM, 39, 65, 10.1145/240455.240473 U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, From data mining to knowledge discovery in databases, AI Magazine (1996), pp. 37–53. Furnkranz, 1997, Knowledge discovery in international conflict databases, Applied Artificial Intelligence, 11, 91, 10.1080/088395197118262 N. Gershon, S.G. Eick, Information visualization applications in the real world, IEEE Computer Graphics and Application (1997), pp. 66–70. Goldberg, 1994, Genetic and evolutionary algorithms come of age, Communications of the ACM, 37, 113, 10.1145/175247.175259 G.H. John, P. Miller, R. Kerber, Stock selection using rule induction, IEEE Expert (1996), pp. 52–58. G.H. John, Y. Zhao, Mortgage data mining, in: Proceedings of the IEEE/IAFE Conference on Computational Intelligence for Financial Engineering, 1997, pp. 232–236. Kim, 1997, Predictability of interest rates using data mining tools: a comparative analysis of Korea and the US, Expert Systems with Applications, 13, 85, 10.1016/S0957-4174(97)00010-9 A.I. Kokkinaki, On atypical database transactions: identification of probable frauds using machine learning for user profiling, in: Proceedings of the IEEE Knowledge and Data Engineering Exchange Workshop, Newport Beach, CA, 1997, pp. 107–113. J. Kolodner, Case-Based Reasoning, Morgan Kaufmann, San Mateo, CA, 1993. Koonce, 1997, A data mining tool for learning from manufacturing processes, Computers and Industrial Engineering, 33, 27, 10.1016/S0360-8352(97)00033-8 M. Kriegsman, R. Barletta, Building a case-based help desk application, IEEE Expert (1993), pp. 18–26. Langley, 1995, Applications of machine learning and rule induction, Communications of the ACM, 38, 55, 10.1145/219717.219768 Lee, 1998, Software development cost estimation: integrating neural network with cluster analysis, Information and Management, 34, 1, 10.1016/S0378-7206(98)00041-X H.-Y. Lee, H.-L. Ong, Visualization support for data mining, IEEE Expert (1996) 69–75. Major, 1992, EFD: a hybrid knowledge/statistical-based system for the detection of fraud, International Journal of Intelligent Systems, 7, 687, 10.1002/int.4550070709 H. Mannila, H. Toivonen, A.J. Verkamo, Discovering frequent episodes in sequences, in: Proceedings of First International Conference on Knowledge Discovery and Data Mining, Montreal, Canada, AAAI Press, Menlo Park, CA, 1995, pp. 210–215. C.J. Matheus, G. Piatetsky-Shapiro, Selecting and reporting what is interesting, in: U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthuruswamy (Eds.), Advances in Knowledge Discovery and Data Mining, AAAI Press/MIT Press, Cambridge, MA, 1996, pp. 495–515. Messier, 1988, Inducing rules for expert system development: an example using default and bankruptcy data, Management Science, 34, 1403, 10.1287/mnsc.34.12.1403 Packard, 1990, A genetic learning algorithm for the analysis of complex data, Complex Systems, 4, 543 J.R. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann, San Mateo, CA, 1993. Rauch, 1997, Knowledge discovery in financial data — a case study, Neural Network World, 4, 427 R.M. Rohrer, E. Swing, Web-based information visualization, IEEE Computer Graphics and Applications (1997), pp. 52–59. Rumelhart, 1994, The basic ideas in neural networks, Communications of the ACM, 37, 87, 10.1145/175247.175256 R. Sasisekharan, V. Seshadri, Data Mining and forecasting in large-scale telecommunication networks, IEEE Expert (1996), pp. 37–43. R.T. Scarfe, R. J. Shortland, Data mining applications in BT, IEE Colloquium (Digest) (1995) 5/1–5/4, pp. Schmitz, 1990, CoverStory — automated news finding in marketing, Interfaces, 20, 29, 10.1287/inte.20.6.29 P.G. Selfridge, D. Srivastava, L.O. Wilson, IDEA: interactive data exploration and analysis, in: Proceedings of SIGMOD ’96, Montreal, Canada, ACM Press, New York, 1996, pp. 24–34. T.E. Senator, H.G. Goldberg, J. Wooton, M.A. Cottini, A.F. Umar Khan, C.D. Klinger, W.M. Llamas, M.P. Marrone, R.W.H. Wong, The financial crimes enforcement network AI system (FAIS) identifying potential money laundering from reports of large cash transactions, AI Magazine (1995), pp. 21–39. Setiono, 1998, Symbolic rule extraction from neural networks, Information and Management, 34, 33, 10.1016/S0378-7206(98)00048-2 M.J. Shaw, J.A. Gentry, Inductive learning for risk classification, IEEE Expert (1990), pp. 47–53. Shortland, 1995, Digging for gold, IEE Review, 41, 213, 10.1049/ir:19950504 E. Simoudis, Using case-based retrieval for customer technical support, IEEE Expert (1992), pp. 7–12. Spangler, 1999, Choosing data-mining methods for multiple classification: representational and performance measurement implications for decision support, Journal of Management Information Systems, 16, 47, 10.1080/07421222.1999.11518233 Spartus, 1997, ParaSite: mining structural information on the Web, Computer Networks and ISDN Systems, 29, 1205, 10.1016/S0169-7552(97)00033-0 Sung, 1999, Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction, Journal of Management Information Systems, 16, 63, 10.1080/07421222.1999.11518234 Tsaih, 1998, Forecasting S(P 500 stock index futures with a hybrid AI system, Decision Support Systems, 23, 161, 10.1016/S0167-9236(98)00028-1 S. Uckun, S. Bagchi, K. Kawamura, Y. Miyabe, Managing genetic search in job shop scheduling, IEEE Expert (1993), pp. 15–24. M.S. Viveros, S. Elo-Dean, M.A. Wright, S.S. Duri, Visitors’ behavior: mining Web servers, in: Proceedings of First International Conference on the Practical Applications of Knowledge Discovery and Data Mining, London, UK, 1997, pp. 257–269. I. Vollrath, W. Wilke, R. Bergmann, Case-based reasoning support for online catalog sales, IEEE Internet Computing (1998), pp. 47–54. Wilson, 1994, Bankruptcy prediction using neural networks, Decision Support Systems, 11, 545, 10.1016/0167-9236(94)90024-8 Wu, 1998, SpeedTracer: a Web usage mining and analysis tool, IBM Systems Journal, 37, 89, 10.1147/sj.371.0089 Z. Yuanhui, L. Yuchang, S. Chunyi, Combining neural network, genetic algorithm and symbolic learning approach to discover knowledge from databases, in: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 5, Orlando, FL, 1997, pp. 4338–4393.