Abstract

Many organisations now routinely gather vast and ever-increasing amounts of data in the ordinary course of their business. While much of this information is collected for day-to-day operational reasons, many businesses are now realising that this data has much additional value for improving operational processes. Large databases can form the basis of decision support systems, often based around a data warehouse. Such systems may then be used for a variety of applications such as trend spotting, pattern recognition, behavioral modeling and customer worth assessment. Against this backdrop, the term data mining is used to refer to the process of searching through a large volume of data to discover interesting and useful information. The authors have traditionally sought to divide data mining into three types or levels---undirected or pure data mining, where the system is left almost entirely unconstrained to discover patterns in the data free of prejudices from the user; directed data mi...

Citations

6071	Genetic Algorithms - Goldberg - 1989
4071	C4.5: Programs for machine learning - Quinlan - 1993
3143	Classification and Regression Trees - Breiman, Friedman, et al. - 1983
2888	Induction of Decision Trees - Quinlan - 1986
2458	Genetic Programming: On the Programming of Computers by Means of Natural Selection - Koza - 1992
2289	Adaptation in Natural and Artificial Systems - Holland - 1975
982	Handbook of Genetic Algorithms - Davis, Mitchell - 1991
538	Artificial Intelligence Through Simulated Evolution - Fogel, Owens, et al. - 1966
382	Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization - Fonseca, Fleming - 1993
295	An overview of evolutionary algorithms for parameter optimization. Evol. Comput - Bäck, Schwefel - 1993
217	No free lunch theorems for search - Wolpert, Macready - 1997
192	Principles of Database and Knowledge Base Systems - Ullman - 1989
157	Genetic algorithms - Holland - 1992
140	Discovery, analysis, and presentation of strong rules - Piatetsky-Shapiro - 1991
133	A learning system based on genetic adaptive algorithms - Smith - 1980
121	On subjective measures of interestingness in knowledge discovery - Silberschatz, Tuzhilin - 1995
113	Z.: Using genetic algorithms for concept learning - Jong, Spears, et al. - 1993
81	Flexible learning of problem solving heuristics through adaptive search - Smith - 1983
71	F.: Search-intensive concept induction - Giordana, Neri - 1995
60	An evolutionary approach to synthetic biology: Zen and the art of creating life - Ray - 1994
58	Fitness variance of formae and performance prediction - Radcliffe, Surry
57	The algebra of genetic algorithms - Radcliffe - 1994
53	Shall We Repair? Genetic Algorithms, Combinatorial Optimization, and Feasibility Constraints - Orvosh, Davis
52	Fundamental Limitations on Search Algorithms: Evolutionary Computing - Radcliffe, Surry - 1000
44	S.F.: Competition-based induction of decision models from examples - Greene, Smith - 1993
44	Introduction to Probability and Statistics - Mendenhall - 1975
44	Formal Memetic Algorithms - Radcliffe, Surry - 1994
42	A multi-objective approach to constrained optimization of gas supply networks - Surry, Radcliffe, et al. - 1995
29	Nonlinear genetic representations - Radcliffe - 1992
26	A support system for interpreting statistical data - Hoschka, Klosgen - 1991
24	Architectural support for data mining - Holsheimer, Kersten - 1994
22	A network genetic algorithm for concept learning - Anglano, Giordana, et al. - 1997
20	Models of Learning Systems - G, Mitchell, et al. - 1977
20	Interactive mining of regularities in databases - Zytkow, Baker - 1991
19	Problems for Knowledge Discovery in Databases and their Treatment in the Statistics Interpreter Explora - Klösgen - 1992
15	Knowledge discovery workbench for exploring business databases - Piatetsky-Shapiro, Matheus - 1992
14	Using Coverage as a Model Building Constraint in Learning Classifier Systems - Greene, Smith - 1994
13	Knowledge discovery through induction with randomization testing - Jensen - 1991
13	RPL2: A language and parallel framework for evolutionary computing - Surry, Radcliffe - 1994
12	Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, and A. Inkeri Verkamo. Finding interesting rules from large sets of discovered association rules - Klemettinen - 1994
10	Constrained gas network pipe sizing with genetic algorithms - Boyd - 1994
9	Efficient discovery of interesting statements in databases - Klosgen - 1995
8	Statistical Perspectives on KDD - Elder, Pregibon - 1996
7	Multiobjective evolutionary algorithms: An overview - Fonseca, Fleming - 1994
6	Limits on learning machine accuracy imposed by data quality - Cortes, Jackel - 1995
6	A "memetic" approach for the travelling salesman problem --- implementation of a computational ecology for combinatorial optimisation on message-passing systems - Moscato, Norman - 1992
6	The Reproductive Plan Language RPL2: Motivation, architecture and applications - Radcliffe, Surry - 1994
4	Searching databases using parallel genetic algorithms on a transputer computing surface - Cui, Fogarty, et al. - 1993
4	RPL2 user guide - Surry - 1993
3	Nonparametric Statistical Inference. Statistics, A Series of Textbooks and Monographs - Gibbons, Chakraborty - 2003