Business Applications and Computational Intelligence Book

Ch. I	Computational intelligence applications in business : a cross-section of the field	1
Ch. II	Making decisions with data : using computational intelligence within a business environment	19
Ch. III	Computational intelligence as a platform for a data collection methodology in management	38
Ch. IV	Heuristic genetic algorithm for product portfolio planning	55
Ch. V	Modeling brand choice using boosted and stacked neural networks	71
Ch. VI	Applying information gathering techniques in business-to-consumer and Web scenarios	91
Ch. VII	Web-mining system for mobile-phone marketing	113
Ch. VIII	Artificial intelligence in electricity market operations and management	131
Ch. IX	Reinforcement learning-based intelligent agents for improved productivity in container vessel berthing applications	155
Ch. X	Optimization using horizon-scan technique : a practical case of solving an industrial problem	185
Ch. XI	Visual data mining for discovering association rules	209
Ch. XII	Analytical customer requirement analysis based on data mining	227
Ch. XIII	Visual grouping of association rules by clustering conditional probabilities for categorical data	248
Ch. XIV	Support vector machines for business applications	267
Ch. XV	Algorithms for data mining	291
Ch. XVI	A tool for assisting group decision-making for consensus outcomes in organizations	316
Ch. XVII	Analyzing strategic stance in public services management : an exposition of NCaRBS in a study of long-term care systems	344
Ch. XVIII	The analytic network process - dependence and freeback in decision-making : theory and validation examples	360
Ch. XIX	Financial classification using an artificial immune system	388
Ch. XX	Development of machine learning software for high frequency trading in financial markets	406
Ch. XXI	Online methods for portfolio selection	431
Ch. XXII	Ankle bones, rogues, and sexual freedom for women : computational intelligence in historical context	461