New Frontiers in Mining Complex Patterns Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers / [electronic resource] :
edited by Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras.
- 1st ed. 2015.
- XII, 211 p. 61 illus. online resource.
- Lecture Notes in Artificial Intelligence, 8983 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 8983 .
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2014, held in conjunction with ECML-PKDD 2014 in Nancy, France, in September 2014. The 13 revised full papers presented were carefully reviewed and selected from numerous submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: classification and regression; clustering; data streams and sequences; applications.
9783319178769
10.1007/978-3-319-17876-9 doi
Data mining.
Database management.
Information storage and retrieval systems.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence.
QA76.9.D343
006.312
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2014, held in conjunction with ECML-PKDD 2014 in Nancy, France, in September 2014. The 13 revised full papers presented were carefully reviewed and selected from numerous submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: classification and regression; clustering; data streams and sequences; applications.
9783319178769
10.1007/978-3-319-17876-9 doi
Data mining.
Database management.
Information storage and retrieval systems.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence.
QA76.9.D343
006.312