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Fuzzy techniques in pattern recognition

Abraham Kandel

Computers & Technology

John Wiley&Sons, Inc.

Book by Abraham Kandel, Joe L. Mott, Ted P. Baker

Discrete mathematics and its applications for computer scientists

Science & Math

Joe L. Mott

Ted P. Baker

Mathematics

Reston, Pub. Co

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues concerning the analysis, design, and application of fuzzy control systems. Divided into three parts, the book first devotes itself to the general theory of fuzzy control systems. The second part deals with a variety of methodologies and algorithms used in the analysis and design of fuzzy controllers. The various paradigms include fuzzy reasoning models, fuzzy neural networks, fuzzy expert systems, and genetic algorithms. The final part considers current applications of fuzzy control systems. This book should be required reading for researchers, practitioners, and students interested in fuzzy control systems, artificial intelligence, and fuzzy sets and systems.

Fuzzy Control Systems

Computer Science

CRC-Press

Used book in excellent condition and WITHOUT any highlights &amp; underlines. may not be Accessories included/different cover . shipping takes 4-5 business days; standard shipping takes 8-10 business days, .Prompt Customer Service! international shipping

Discrete Mathematics For Computer Scientists And Mathematicians, 2Nd Ed.

Theodore P. Baker

Prentice-Hall of India

Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.

DATA MINING IN TIME SERIES DATABASES (Machine Perception and Artificial Intelligence)

Mark Last

Horst Bunke

World Scientific Publishing Company

An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area.

Artificial Intelligence Methods In Software Testing (Series in Machine Perception & Artifical Intelligence ¿ Vol. 56)

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