Sciweavers

Share
ICCS
2005
Springer

Analyzing Conflicts with Concept-Based Learning

9 years 4 months ago
Analyzing Conflicts with Concept-Based Learning
A machine learning technique for handling scenarios of interaction between conflicting agents is suggested. Scenarios are represented by directed graphs with labeled vertices (for mental actions) and arcs (for temporal and causal relationships between these actions and their parameters). The relation between mental actions and their descriptions gives rise to a concept lattice. Classification of an undetermined scenario is realized by comparing partial matchings of its graph with graphs of positive and negative examples. Developed scenario representation and comparative analysis techniques are applied to the classification of textual customer complaints.
Boris Galitsky, Sergei O. Kuznetsov, Mikhail V. Sa
Added 29 Jun 2010
Updated 29 Jun 2010
Type Conference
Year 2005
Where ICCS
Authors Boris Galitsky, Sergei O. Kuznetsov, Mikhail V. Samokhin
Comments (0)
books