Articles liés à The Handbook of Data Mining

The Handbook of Data Mining - Couverture souple

Livre 13 sur 40: Human Factors and Ergonomics

Ye, Nong

 
9780805855630: The Handbook of Data Mining

Synopsis

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials.

This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bioinformatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality.

This Handbook is ideal for researchers and developers who want to use data mining techniques to derive scientific inferences where extensive data is available in scattered reports and publications. It is also an excellent resource for graduate-level courses on data mining and decision and expert systems methodology.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Dr. Nong Ye is Director of the Information and Systems Assurance Laboratory, Professor of Industrial Engineering, and an Affiliated Professor of Computer Science and Engineering at Arizona State University. She received her Ph.D. in Industrial Engineering from Purdue University, and her M.S. and B.S. in Computer Science. Her research focuses on assuring process quality and reliability of information systems, manufacturing, and enterprise and human-machine systems, using data mining, statistics and optimization techniques. Dr. Ye is an Associate Editor of IEEE Transactions on Reliability and IEEE Transactions on Systems, Man, and Cybernetics. She is also an editorial board member of the International Journal of Human-Computer Interaction and theInternational Journal of Cognitive Ergonomics.




À propos de la quatrième de couverture

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.