Data Mining

Next Generation Challenges and future Directions

Hillol Kargupta, Anupam Joshi, Krishnamoorthy Sivakumar, Yelena Yesha

558 pages, parution le 16/12/2004

Ajouter à une liste

Indisponible

Résumé

Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data mining extracts useful information from the large data sets now available to industry and science. This collection surveys the most recent advances in the field and charts directions for future research.

The first part looks at pervasive, distributed, and stream data mining, discussing topics that include distributed data mining algorithms for new application areas, several aspects of next-generation data mining systems and applications, and detection of recurrent patterns in digital media. The second part considers data mining, counter-terrorism, and privacy concerns, examining such topics as biosurveillance, marshalling evidence through data mining, and link discovery. The third part looks at scientific data mining; topics include mining temporally-varying phenomena, data sets using graphs, and spatial data mining. The last part considers web, semantics, and data mining, examining advances in text mining algorithms and software, semantic webs, and other subjects.

L'auteur - Hillol Kargupta

Hillol Kargupta is Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County.

L'auteur - Anupam Joshi

Anupam Joshi is Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County.

L'auteur - Krishnamoorthy Sivakumar

Krishnamoorthy Sivakumar is Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University.

L'auteur - Yelena Yesha

Yelena Yesha is Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County.

Sommaire

Foreword
Preface
Pervasive, Distributes, and Stream Data Mining
Counterterrorism, Privacy, and Data mining
Scientific Data Mining
Web, Semantic, and Data Mining
Bibliography
Index

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	The MIT Press
Auteur(s)	Hillol Kargupta, Anupam Joshi, Krishnamoorthy Sivakumar, Yelena Yesha
Parution	16/12/2004
Nb. de pages	558
Format	15 x 23
Couverture	Broché
Poids	760g
Intérieur	Noir et Blanc
EAN13	9780262612036
ISBN13	978-0-262-61203-6