Computational Intelligence for Decision Support
Series: International Series on Computational Intelligence; 12;
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 24 November 1999
- ISBN 9780849317996
- Binding Hardback
- No. of pages404 pages
- Size 229x152 mm
- Weight 910 g
- Language English
- Illustrations 59 Tables, black & white 0
Categories
Short description:
Most of the existing texts on computational and artificial intelligence, database management systems, and decision support tend to neglect the relationship between these disciplines. Computational Intelligence for Decision Support presents an integrated approach. It discusses computational intelligence as the science developed for decision support. The author explains how to use computational intelligence (for reasoning) and DBMS (for retrieval) together to attain the goal of high-level decision making. This book appeals to those from a variety of disciplines, with or without a background in decision support.
MoreLong description:
Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision Support produces what other texts don't: an explanation of how to use AI and DBMS together to achieve high-level decision making.
Threading relevant disciplines from both science and industry, the author approaches computational intelligence as the science developed for decision support. The use of computational intelligence for reasoning and DBMS for retrieval brings about a more active role for computational intelligence in decision support, and merges computational intelligence and DBMS. The introductory chapter on technical aspects makes the material accessible, with or without a decision support background. The examples illustrate the large number of applications and an annotated bibliography allows you to easily delve into subjects of greater interest.
The integrated perspective creates a book that is, all at once, technical, comprehensible, and usable. Now, more than ever, it is important for science and business workers to creatively combine their knowledge to generate effective, fruitful decision support. Computational Intelligence for Decision Support makes this task manageable.
Table of Contents:
Decision Support and Computational Intelligence. Search and Representation. Predicate Logic. Relations as Predicates. Retrieval Systems. Conceptual Data and Knowledge Modeling. Reasoning as Extended Retrieval. Computational Creativity and Computer Assisted Human Intelligence. Conceptual Queries and Intensional Answering. From Machine Learning to Data Mining. Data Warehousing, OLAP, and Data Mining. Reasoning Under Uncertainty. Reduction and Reconstruction Approaches for Uncertain Reasoning and Data Mining. Toward Integrated Heuristic Decision Making.
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