Successes and new directions in data mining
Title:
Successes and new directions in data mining
Author:
Masseglia, Florent.
ISBN:
9781599046471
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
Physical Description:
electronic texts (xv, 369 p. : ill. (some col.)) : digital files.
Contents:
1. Why fuzzy set theory is useful in data mining / Eyke Hüllermeier -- 2. SeqPAM : a sequence clustering algorithm for web personalization / Pradeep Kumar, Raju S. Bapi, and P. Radha Krishna -- 3. Using mined patterns for XML query answering / Elisa Quintarelli and Letizia Tanca -- 4. On the usage of structural information in constrained semi-supervised clustering of XML documents / Eduardo Bezerra, Geraldo Xexéo, Marta Mattoso -- 5. Modeling and managing heterogeneous patterns: the PSYCHO experience / Anna Maddalena and Barbara Catania -- 6. Deterministic motif mining in protein databases / Pedro Gabriel Ferreira and Paulo Jorge Azevedo -- 7. Data mining and knowledge discovery in metabolomics / Christian Baumgartner and Armin Graber -- 8. Handling local patterns in collaborative structuring / Ingo Mierswa, Katharina Morik, and Michael Wurst -- 9. Pattern mining and clustering on image databases / Marinette Bouet, Pierre Gançarski, Marie-Aude Aufaure, Omar Boussaïd -- 10. Semantic integration and knowledge discovery for environmental research / Zhiyuan Chen, Aryya Gangopadhyay, George Karabatis, Michael McGuire, Claire Welty -- 11. Visualizing multi dimensional data / César García-Osorio and Colin Fyfe -- 12. Privacy preserving data mining, concepts, techniques and evaluation methodologies / Igor Nai Fovino -- 13. Mining data-streams / Hanady Abdulsalam, David B. Skillicorn, and Pat Martin.
Abstract:
"This book addresses existing solutions for data mining, with particular emphasis on potential real-world applications. It captures defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining"--Provided by publisher.
Subject Term:
Added Corporate Author:
Electronic Access:
Chapter PDFs via platform: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-645-7