Introducing Data Mining and Knowledge Discovery
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[1] Cliff T. Ragsdale,et al. Spreadsheet modeling and decision analysis , 1996 .
[2] Christopher H. Bryant,et al. Knowledge discovery in databases: application to chromatography , 1998 .
[3] Xin Yao,et al. Evolving artificial neural networks , 1999, Proc. IEEE.
[4] R. Palmer,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[5] Hussein A. Abbass,et al. C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees , 2001, Knowledge and Information Systems.
[6] Paul S. Bradley,et al. Mathematical Programming for Data Mining: Formulations and Challenges , 1999, INFORMS J. Comput..
[7] Jan M. Zytkow,et al. From Contingency Tables to Various Forms of Knowledge in Databases , 1996, Advances in Knowledge Discovery and Data Mining.
[8] Toshinori Munakata,et al. Knowledge discovery , 1999, Commun. ACM.
[9] Adil M. Bagirov,et al. A Heuristic Algorithm for Feature Selection Based on Optimization Techniques , 2002 .
[10] Gregory Piatetsky-Shapiro,et al. Knowledge Discovery in Databases: An Overview , 1992, AI Mag..
[11] Heikki Mannila,et al. Fast Discovery of Association Rules , 1996, Advances in Knowledge Discovery and Data Mining.
[12] Padhraic Smyth,et al. From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..
[13] Paul S. Bradley,et al. Clustering via Concave Minimization , 1996, NIPS.
[14] Fausto Giunchiglia,et al. A Theory of Abstraction , 1992, Artif. Intell..
[15] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[16] Michael Y. Hu,et al. A simulation study of artificial neural networks for nonlinear time-series forecasting , 2001, Comput. Oper. Res..
[17] Olvi L. Mangasarian,et al. Mathematical Programming in Data Mining , 1997, Data Mining and Knowledge Discovery.
[18] Casimir A. Kulikowski,et al. Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems , 1990 .
[19] Padhraic Smyth,et al. Knowledge Discovery and Data Mining: Towards a Unifying Framework , 1996, KDD.
[20] Vladimir Cherkassky,et al. Learning from Data: Concepts, Theory, and Methods , 1998 .
[21] Usama M. Fayyad,et al. Data mining and KDD: Promise and challenges , 1997, Future Gener. Comput. Syst..
[22] Paul S. Bradley,et al. Feature Selection via Concave Minimization and Support Vector Machines , 1998, ICML.
[23] George H. John. Enhancements to the data mining process , 1997 .
[24] Paul S. Bradley,et al. Feature Selection via Mathematical Programming , 1997, INFORMS J. Comput..
[25] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[26] J. Keith Ord,et al. Automatic neural network modeling for univariate time series , 2000 .
[27] Brian D. Ripley,et al. Neural Networks and Related Methods for Classification , 1994 .
[28] Frederick S. Hillier,et al. Introduction of Operations Research , 1967 .
[29] S. C. Hui,et al. Data mining for customer service support , 2000, Inf. Manag..
[30] Gregory Piatetsky-Shapiro,et al. The KDD process for extracting useful knowledge from volumes of data , 1996, CACM.
[31] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[32] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[33] William Frawley,et al. Knowledge Discovery in Databases , 1991 .