Real-World Data Mining - Dursun Delen

. .

Auteur(s) : Dursun Delen

Editeur : Pearson Education (Us)

Langue : Anglais

Parution : 01/12/2014

Format : Moyen, de 350g à 1kg

Nombre de pages : 288

Expédition : 516

Dimensions : 23.6 x 15.4 x 2.0

ISBN : 0133551075

Résumé :

As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making.

Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.

Biographie:
DR. DURSUN DELEN (Tulsa, OK) is William S. Spears and Neal Patterson Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University. As research scientist at Knowledge Based Systems Inc., he led advanced decision support, information systems and analytics research projects funded by DoD, NASA, NIST and DOE. His research has appeared in Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, Expert Systems with Applications, and other leading journals. His books include Advanced Data Mining Techniques; Decision Support and Business Intelligence Systems; Business Intelligence: A Managerial Approach; and Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. He co-chaired the 4th International Conference on Network Computing and Advanced Information Management, is associate editor-in-chief for International Journal of Experimental Algorithms, and is associate editor for International Journal of RF Technologies and Journal of Decision Analytics.