New Frontiers in Mining Complex Patterns 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers / [electronic resource] :
edited by Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras.
- X, 239 p. 57 illus. online resource.
- Lecture Notes in Computer Science, 9607 0302-9743 ; .
- Lecture Notes in Computer Science, 9607 .
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2015, held in conjunction with ECML-PKDD 2015 in Porto, Portugal, in September 2015. The 15 revised full papers presented together with one invited talk were carefully reviewed and selected from 19 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: data stream mining, classification, mining complex data, and sequences.
9783319393155
10.1007/978-3-319-39315-5 doi
Computer science.
Database management.
Data mining.
Information storage and retrieval.
Artificial intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence (incl. Robotics).
QA76.9.D343
006.312
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2015, held in conjunction with ECML-PKDD 2015 in Porto, Portugal, in September 2015. The 15 revised full papers presented together with one invited talk were carefully reviewed and selected from 19 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: data stream mining, classification, mining complex data, and sequences.
9783319393155
10.1007/978-3-319-39315-5 doi
Computer science.
Database management.
Data mining.
Information storage and retrieval.
Artificial intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence (incl. Robotics).
QA76.9.D343
006.312