Fuzzy Information Retrieval
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Table of Contents

  • Preface
  • Acknowledgments
  • Introduction to Information Retrieval
  • Modeling
  • Source of Weights
  • Relevance Feedback and Query Expansion
  • Clustering for Retrieval
  • Uses of Information Retrieval Today
  • Bibliography
  • Author Biographies

About the Author

Donald H. Kraft's degrees are from Purdue University, where he majored in industrial engineering, specializing in operations research. He has taught at Purdue University, the University of Maryland, Indiana University, the University of California-Berkeley, the University of California-Los Angeles, the U.S. Air Force Academy, and Louisiana State University-where he served as chair and is now a professor emeritus. He is currently an adjunct professor at Colorado Technical University. He has been named a Fellow of IEEE, AAAS, and IFSA, as well as an ACM Distinguished Scientist and a LSU Distinguished Professor. He is also a winner of both the ASIST Research Award and Award of Merit. He served for 24 years as Editor of JASIST and is a Past President of ASIST. His research interests include information retrieval, fuzzy set theory, genetic algorithms, rough sets, operations research, and information science. Erin Colvin's degrees are a B.S. in computer science from Middle Tennessee State University; an M.Ed. in secondary education from Chaminade University of Honolulu; an M.S. in computer science from American Sentinel University; and a D.C. S. in computer science from Colorado Technical University. She has worked as a software engineer for Square D Company creating front-end software for electrical metering devices for companies such as BASF, Northrup Grumman, and the University of New Mexico. She has taught at Anne Arundel Community College, Southern New Hampshire University, John Hopkins University Center for Talented Youth and Regis University. Currently, Dr. Colvin is an instructor in the Computer Science Department at Western Washington University. Her research interests include information retrieval, fuzzy set theory, genetic algorithms, and software reuse.

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