Adaptive Business Intelligence by Zbigniew Michalewicz

By Zbigniew Michalewicz

Adaptive company intelligence platforms mix prediction and optimization options to help determination makers in complicated, speedily altering environments. those structures deal with primary questions: what's prone to take place sooner or later? what's the most sensible plan of action? Adaptive company Intelligence explores components of information mining, predictive modeling, forecasting, optimization, and suppleness. The publication explains the appliance of various prediction and optimization strategies, and exhibits how those innovations can be utilized to increase adaptive platforms. assurance contains linear regression, time-series forecasting, determination bushes and tables, man made neural networks, genetic programming, fuzzy structures, genetic algorithms, simulated annealing, tabu seek, ant platforms, and agent-based modeling.

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We also have to deal with next year’s 34 3 An Extended Example: Car Distribution models entering the marketplace during the months of August and September, as the older models will immediately drop in price when this happens (also part of the “seasonality effect”). This is an important consideration when we approach this time of year, as it might be better to ship cars nearby and sell them “in time,” rather than sending them far away to fetch a better price. Additionally, new body style models are introduced every few years, which cause an even bigger drop in price for the older body styles.

In general, the more data the better, as data mining can produce better results when performed on large data sets, and the resulting prediction models are more accurate. In the car distribution example, there are several important elements of prediction. For example, we would like to predict the sale prices for different cars at different auction sites on different days.

At that stage, it will be easy to see the similarities between this “pollution control” research project, and the core components of an Adaptive Business Intelligence system (prediction, optimization, and adaptability). 3 An Extended Example: Car Distribution “You must drop everything, Sherlock. Never mind your usual petty puzzles of the police-court. ” The Adventure of the Bruce-Partington Plans “I have devised seven separate explanations, each of which would cover the facts as far as we know them.

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