Data mining patterns new methods and applications
Title:
Data mining patterns new methods and applications
Author:
Poncelet, Pascal.
ISBN:
9781599041643
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
Physical Description:
electronic texts (xv, 307 p. : ill.) : digital files.
Contents:
1. Metric methods in data mining / Dan Simovici -- 2. Bi-directional constraint pushing in frequent pattern mining / Osmar Zaïane, Mohammed El-Hajj -- 3. Mining hyperclique patterns / Hui Xiong, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou -- 4. Pattern discovery in biosequences / Simona Rombo, Luigi Palopoli -- 5. Finding patterns in class-labeled data using data visualization / Gregor Leban, Minca Mramor, Blaž Zupan, Janez Demšar, Ivan Bratko -- 6. Summarizing data cubes using blocks / Yeow Choong, Anne Laurent, Dominique Laurent -- 7. Social network mining from the web / Yutaka Matsuo, Junichiro Mori, Mitsuru Ishizuka -- 8. Discovering spatio-textual association rules in document images / Donato Malerba, Margherita Berardi, Michelangelo Ceci -- 9. Mining XML documents / Laurent Candillier, Ludovic Denoyer, Patrick Gallinari, Marie Rousset, Alexandre Termier, Anne-Marie Vercoustre -- 10. Topic and cluster evolution over noisy document streams / Sascha Schulz, Myra Spiliopoulou, Rene Schult -- 11. Discovery of latent patterns with hierarchical bayesian mixed-membership models and the issue of model choice / Cyrille Joutard, Edoardo Airoldi, Stephen E. Fienberg, Tanzy Love.
Abstract:
This book provides an overall view of the recent solutions for mining, and also explores new kinds of patterns. This book offers theoretical frameworks and presents challenges and their possible solutions concerning pattern extractions, emphasizing both research techniques and real-world applications. Data Mining Patterns: New Methods and Applications portrays research applications in data models, techniques and methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming, incremental mining, and many other topics.
Subject Term:
Added Corporate Author:
Electronic Access:
Chapter PDFs via platform: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-162-9