Data mining patterns new methods and applications /

• Corporate Author: IGI Global.
• Other Authors: Poncelet, Pascal., Masseglia, Florent., Teisseire, Maguelonne.
• Format: Electronic
• Language: English
• Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
• Subjects: Data mining.; Bi-directional constraint pushing; Class-labeled data; Data visualization; Frequent pattern mining; Hierarchical Bayesian mixed-membership models; Latent patterns; Metric methods in data mining; Mining hyperclique patterns; Mining XML documents; Noisy document streams; Pattern discovery in biosequences; Social network mining; Spatio-textual association rules; Summarizing data cubes; Topic and cluster evolution
• Online Access: View fulltext via EzAccess
• Physical Description: electronic texts (xv, 307 p. : ill.) : digital files.; Also available in print.
• Format: Mode of access: World Wide Web.
• Bibliography: Includes bibliographical references (p. 276-296) and index.
• ISBN: 9781599041643 (ebook)
• Access: Restricted to subscribers or individual electronic text purchasers.

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.