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Flexible Approaches in Data, Information and Knowledge Management: Studies in Computational Intelligence, cartea 497

Editat de Olivier Pivert, Sławomir Zadrożny
en Limba Engleză Paperback – 23 aug 2016
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.
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Specificații

ISBN-13: 9783319346632
ISBN-10: 3319346636
Pagini: 332
Ilustrații: XII, 320 p. 56 illus.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.47 kg
Ediția:Softcover reprint of the original 1st ed. 2014
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Presents Flexible Approaches in Data, Information and Knowledge Management Focuses on publications of fuzzy set theory to the database domain Written by experts in the field Includes supplementary material: sn.pub/extras