New frontiers in mining complex patterns : first International Workshop, NFMCP 2012, held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised 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...

Full description

Bibliographic Details
Corporate Author: NFMCP (Workshop) Bristol, England)
Other Authors: Appice, Annalisa (Editor), Ceci, Michelangelo (Editor), Loglisci, Corrado (Editor), Manco, Giuseppe (Editor), Masciari, Elio (Editor), Raś, Zbigniew (Editor), Raś, Zbigniew (Editor)
Format: Conference Proceeding Book
Language:English
Published: Berlin : Springer, [2013]
Series:LNCS sublibrary Artificial intelligence.
Lecture notes in computer science Lecture notes in artificial intelligence ; 7765.
Lecture notes in computer science
Subjects:
Table of Contents:
  • Mining Rich (Relational) Datasets Learning with Configurable Operators and RL-Based Heuristics / Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo
  • Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses / Ondřej Kuželka, Andrea Szabóová, Filip Železný
  • Mining Complex Patterns from Miscellaneous Data. Mining Complex Event Patterns in Computer Networks / Dietmar Seipel [and others]
  • Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation / Eric Paquet, Herna Lydia Viktor, Hongyu Guo
  • Machine Learning as an Objective Approach to Understanding Music / Claire Q, Ross D. King
  • Pair-Based Object-Driven Action Rules / Ayman Hajja [and others]
  • Mining Complex Patterns from Trajectory and Sequence Data. Effectively Grouping Trajectory Streams / Gianni Costa, Giuseppe Manco, Elio Masciari
  • Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets / Elias Egho [and others]
  • Graph-Based Approaches to Clustering Network-Constrained Trajectory Data / Mohamed Khalil El Mahrsi, Fabrice Rossi
  • Mining Complex Patterns from Graphs and Networks. Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels / Michael Davis, Weiru Liu, Paul Miller
  • Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns / Claudio Taranto, Nicola Di Mauro, Floriana Esposito
  • Improving Robustness and Flexibility of Concept Taxonomy Learning from Text / Fabio Leuzzi, Stefano Ferilli, Fulvio Rotella
  • Discovering Evolution Chains in Dynamic Networks / Corrado Loglisci, Michelangelo Ceci, Donato Malerba
  • Supporting Information Spread in a Social Internetworking Scenario / Francesco Buccafurri [and others]
  • Context-Aware Predictions on Business Processes: An Ensemble-Based Solution / Francesco Folino, Massimo Guarascio, Luigi Pontieri.
  • Mining Rich (Relational) Datasets Learning with Configurable Operators and RL-Based Heuristics / Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo
  • Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses / Ondřej Kuželka, Andrea Szabóová, Filip Železný
  • Mining Complex Patterns from Miscellaneous Data. Mining Complex Event Patterns in Computer Networks / Dietmar Seipel [and others]
  • Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation / Eric Paquet, Herna Lydia Viktor, Hongyu Guo
  • Machine Learning as an Objective Approach to Understanding Music / Claire Q, Ross D. King
  • Pair-Based Object-Driven Action Rules / Ayman Hajja [and others]
  • Mining Complex Patterns from Trajectory and Sequence Data. Effectively Grouping Trajectory Streams / Gianni Costa, Giuseppe Manco, Elio Masciari
  • Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets / Elias Egho [and others]
  • Graph-Based Approaches to Clustering Network-Constrained Trajectory Data / Mohamed Khalil El Mahrsi, Fabrice Rossi
  • Mining Complex Patterns from Graphs and Networks. Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels / Michael Davis, Weiru Liu, Paul Miller
  • Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns / Claudio Taranto, Nicola Di Mauro, Floriana Esposito
  • Improving Robustness and Flexibility of Concept Taxonomy Learning from Text / Fabio Leuzzi, Stefano Ferilli, Fulvio Rotella
  • Discovering Evolution Chains in Dynamic Networks / Corrado Loglisci, Michelangelo Ceci, Donato Malerba
  • Supporting Information Spread in a Social Internetworking Scenario / Francesco Buccafurri [and others]
  • Context-Aware Predictions on Business Processes: An Ensemble-Based Solution / Francesco Folino, Massimo Guarascio, Luigi Pontieri.