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Analyzing Conflicts with Concept-Based Learning.

, , and . ICCS, volume 3596 of Lecture Notes in Computer Science, page 307-322. Springer, (2005)

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Concept-based learning of human behavior for customer relationship management., and . Inf. Sci., 181 (10): 2016-2035 (2011)Deductive and Inductive Reasoning for Processing the Claims of Unsatisfied Customers., and . IEA/AIE, volume 2718 of Lecture Notes in Computer Science, page 21-30. Springer, (2003)Mining the attitudes of conflicting human agents., and . Computational Intelligence, page 31-36. IASTED/ACTA Press, (2006)Learning Adversarial Reasoning Patterns in Customer Complaints., and . Applied Adversarial Reasoning and Risk Modeling, volume WS-11-06 of AAAI Workshops, AAAI, (2011)Learning Ontologies from the Web for Microtext Processing., , and . Analyzing Microtext, volume WS-11-05 of AAAI Workshops, AAAI, (2011)Generalization of parse trees for iterative taxonomy learning.. Inf. Sci., (2016)Assessing plausibility of explanation and meta-explanation in inter-human conflicts., , and . Eng. Appl. Artif. Intell., 24 (8): 1472-1486 (2011)Machine learning of syntactic parse trees for search and classification of text.. Eng. Appl. Artif. Intell., 26 (3): 1072-1091 (2013)Artificial Intelligence for Customer Relationship Management - Keeping Customers Informed. Human-Computer Interaction Series Springer, (2020)Building Dialogue Structure from Discourse Tree of a Question.. AAAI Workshops, volume WS-18 of AAAI Technical Report, page 706-712. AAAI Press, (2018)