Data Mining Patterns: New Methods and Applications 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.
Florent Masseglia is currently a researcher for INRIA (Sophia Antipolis, France). He did research work in the Data Mining Group at the LIRMM (Montpellier, France) (1998-2002) and received a PhD in computer science from Versailles University, France (2002). His research interests include data mining (particularly sequential patterns and applications such as Web usage mining) and databases. He is a member of the steering committees of the French working group on mining complex data and the International Workshop on Multimedia Data. He has co-edited several special issues about mining complex or multimedia data. He also has co-chaired workshops on mining complex data and co-chaired the 6th and 7th editions of the International Workshop on Multimedia Data Mining in conjunction with the KDD conference. He is the author of numerous publications about data mining in journals and conferences and he is a reviewer for international journals.
Maguelonne Teisseire received a PhD in computing science from the Mditerrane University, France (1994). Her research interests focused on behavioral modeling and design. She is currently an assistant professor of computer science and engineering in Montpellier II University and Polytech?Montpellier, France. She is head of the Data Mining Group at the LIRMM Laboratory, Montpellier. Her interests focus on advanced data mining approaches when considering that data are time ordered. Particularly, she is interested in text mining and sequential patterns. Her research takes part on different projects supported by either National Government (RNTL) or regional projects. She has published numerous papers in refereed journals and conferences either on behavioral modeling or data mining. [Editor]