DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Rattle Introduction Getting Started Interacting with Rattle Data Exploring Data Test Transforming Data Cluster Analysis Data Graphics in R Understanding Data Preparing Data Descriptive and Predictive Analytics Issues Evaluating Models Reporting Cluster Analysis Text Mining Text Mining Algorithms Bagging Bayes Classifier Cluster Analysis Conditional Trees Hierarchical Clustering K-Nearest Neighbours Linear Models Neural Networks Support Vector Machines Open Products AlphaMiner Borgelt Data Mining Suite KNime R Rattle Weka Closed Products C4.5 Clementine Equbits Foresight GhostMiner InductionEngine ODM Enterprise Miner Statistica Data Miner TreeNet Virtual Predict Appendicies Installing Rattle Glossary Bibliography Index

E

E-Commerce: Conduct of financial transactions by electronic means, usually in the form of on-line business and trade, and often involving the buying and selling of goods over the Internet.

Ensemble Learning: A generic description for a learning system that builds multiple knowledge structures and combines the outcomes in some way. For example, a voting stratgey might be used where we have generated multiple Refer[decision-tree]Decision Trees for the same task. Each decision tree will be applied to an unseen record and the decisions from each tree will be combined in some way. One of the earliest examples was developed by Williams (1987) (also see Williams (1988) and Williams (1991)) where multiple decision trees were combined using a majority rules voting scheme. The idea of a committee of models arose from earlier work in expert systems and then in machine learning with MIL (Multiple Inductive Learning).

Evolutionary Computation: Motivated by Darwinian Evolution heuristic rules are employed to modify a population of solutions in such a way that each generation of the population tends to be on average better than its predecessor. These algorithms generally have three components (analogous to the theory of evolution): A fitness function which is used to guide in the selection of the fitest individual; Reproduction operators to generate new structures from other structures; Genetic operators to guide the combination of the structures in reproduction.

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