
Flexible Approaches in Data, Information and Knowledge Management
Series: Studies in Computational Intelligence; 497;
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number Softcover reprint of the original 1st ed. 2014
- Publisher Springer
- Date of Publication 23 August 2016
- Number of Volumes 1 pieces, Previously published in hardcover
- ISBN 9783319346632
- Binding Paperback
- No. of pages320 pages
- Size 235x155 mm
- Weight 5037 g
- Language English
- Illustrations 56 Illustrations, black & white 0
Categories
Short description:
This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.
Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for postgraduate students interested in advanced information management techniques.
MoreLong description:
This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.
Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for postgraduate students interested in advanced information management techniques.
MoreTable of Contents:
Part I Bipolar preference queries.- Part II Ontology-based data access.- Part III Uncertain databases.- Part IV Flexible queries over nonstandard data.- Part V Fuzzy knowledge discovery and exploitation.
More