Knowledge Management in Fuzzy Databases (Studies in Fuzziness and Soft Computing): 39 - Brossura

Brossura

ISBN 10: 3790824674 ISBN 13: 9783790824674

Casa editrice: Physica-Verlag HD, 2010

Riassunto

The volume presents recent developments in the introduction of fuzzy, probabilistic and rough elements into basic components of fuzzy databases, and their use (notably querying and information retrieval), from the point of view of data mining and knowledge discovery. The main novel aspect of the volume is that issues related to the use of fuzzy elements in databases, database querying, information retrieval, etc. are presented and discussed from the point of view, and for the purpose of data mining and knowledge discovery that are "hot topics" in recent years. This may be useful for both people involved in theoretical research, education, and even the design and implementation of working computer systems.

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Contenuti

E. Trillas: Foreword.- Fuzziness in Databases: Basic Aspects: E.E. Kerre, G. Chen: Fuzzy Data Modeling at a Conceptual Level: Extending ER/EER Concepts.- A. Yazici, A. Cinar: Conceptual Modeling for the Design of Fuzzy Object Oriented Databases.- M. Nakata: On Inference Rules of Dependencies in Fuzzy Relational Data Models: Functional Dependencies.- R. De Calluwe, G. De Tré, B. Van der Cruyssen, F. Devos, P. Maesfranckx: Time Mangement in Fuzzy and Uncertain Object-Oriented Databases.- O. Maimon, A. Kandel, M. Last: Fuzzy Approach to Data Reliability.- Fuzziness in Databases: Operational Aspects: D. Dubois, M. Nakata, H. Prade: Extended Divisions for Flexible Queries in Relational Databases.- G. Chen: Fuzzy Functional Dependecy as a Sort of Semantic Knowledge: Representation, Preservation and Use.- A. Czinkóczky-Sali: A Combinatorial Characterization of Fuzzy Functional Dependencies.- M. Nakata: Formulation of Division Operators in Fuzzy Relational Databases.- Data Mining and Knowledge Discovery Via Querying, Retrieval and Summarization: Z.W. Ras: Intelligent Query Answering in DAKS.- P. Bosc, O. Pivert: SQLf Query Functionality on Top of a Regular Relational Database Management System.- J. Galindo, J.M. Medina, J.C. Cubero: How to Obtain the Fulfilment Degrees of a Query Using Fuzzy Relational Calculus.- J. Kacprzyk, S. Zadrozny: Data Mining via Fuzzy Querying over the Internet.- G. Bordogna, P. Bosc, G. Pasi: Extended Boolean Information Retrieval in Terms of Fuzzy Inclusion.- J. Chen, A. Mikulcic, D.H. Kraft: An Integrated Approach to Information Retrieval with Fuzzy Clustering and Fuzzy Inferencing.- R.R. Yager: Retrieval from Multimedia Databases Using Fuzzy Temporal Concepts.- M. Rifqi, S. Monties: Fuzzy Prototypes for Fuzzy Data Mining.- M. Bellmann, N. Vojdani: Creating Business Knowledge by Fuzzy Data Mining.- Using Rough Sets and Evidence Theory for Handling Uncertainty in Data Mining: S.S. Anand, J.G. Hughes, D.A. Bell: Towards the Handling of Uncertainty in Knowledge Discovery in Databeses.- M. Kryszkiewicz, H. Rybinski: Reducing Information Systems with Uncertain Real Value Attributes.- F. Machuca, M. Millán: Enhancing Query Processing in Extended Relational Database Systems via Rough Set Theory to Exploit Data Mining Potential.- M.C. Fernandez-Baizán, E. Menasalvas Ruiz, J.M. Peña Sánchez: Integrating RDMS and Data Mining Capabilities Using Rough Sets.

Dettagli dell'edizione

• Editore: Physica-Verlag HD
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3790824674
• ISBN 13: 9783790824674
• Rilegatura: Copertina flessibile
• Numero di pagine: 400
• Redattore: Pons Olga
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile