New Frontiers in Mining Complex Patterns : First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers

This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012. The 15 revised full papers were carefully reviewed and selecte...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Appice, Annalisa
Awduron Eraill: Ceci, Michelangelo (Cyfarwyddwr cyhoeddi), Loglisci, Corrado (Cyfarwyddwr cyhoeddi), Manco, Giuseppe (Cyfarwyddwr cyhoeddi), Masciari, Elio (Cyfarwyddwr cyhoeddi), Ras, Zbigniew (Cyfarwyddwr cyhoeddi)
Fformat: Livre numérique
Iaith:Anglais
Cyhoeddwyd: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Cham : Springer Nature
Cyfres:Lecture Notes in Artificial Intelligence 7765
Mynediad Ar-lein:Accès sur la plateforme de l'éditeur (Springer)
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nodyn: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• New Frontiers in Mining Complex Patterns, Texte imprimé, 9783642373817
• New Frontiers in Mining Complex Patterns, Texte imprimé, 9783642373831
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100 1 |a Appice, Annalisa. 
245 1 0 |a New Frontiers in Mining Complex Patterns :  |b First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers   |c edited by Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras. 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg. 
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490 0 |a Lecture Notes in Artificial Intelligence  |v 7765  |x 2945-9141 
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500 |a Archives Springer e-books (Licence nationale) 
505 0 |a Learning with Configurable Operators and RL-Based Heuristics.- Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.- Mining Complex Event Patterns in Computer Networks -- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation -- Machine Learning as an Objective Approach to Understanding Music.- Pair-Based Object-Driven Action Rules -- Effectively Grouping Trajectory Streams.- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets -- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data -- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels.- Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns.- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text.- Discovering Evolution Chains in Dynamic Networks.- Supporting Information Spread in a Social  Internetworking Scenario.- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution.  Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.- Mining Complex Event Patterns in Computer Networks -- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation -- Machine Learning as an Objective Approach to Understanding Music.- Pair-Based Object-Driven Action Rules -- Effectively Grouping Trajectory Streams.- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets -- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data -- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels.- Learning in Probabilistic Graphs Exploiting Language-ConstrainedPatterns.- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text.- Discovering Evolution Chains in Dynamic Networks.- Supporting Information Spread in a Social  Internetworking Scenario.- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. . 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012. The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on mining rich (relational) datasets, mining complex patterns from miscellaneous data, mining complex patterns from trajectory and sequence data, and mining complex patterns from graphs and networks. 
700 1 |a Ceci, Michelangelo.  |4 pbd 
700 1 |a Loglisci, Corrado.  |4 pbd 
700 1 |a Manco, Giuseppe.  |4 pbd 
700 1 |a Masciari, Elio.  |4 pbd 
700 1 |a Ras, Zbigniew.  |4 pbd 
776 0 |t New Frontiers in Mining Complex Patterns  |b Texte imprimé  |z 9783642373817 
776 0 |t New Frontiers in Mining Complex Patterns  |b Texte imprimé  |z 9783642373831 
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