Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Case-based reasoning
Large-scale information retrieval with latent semantic indexing
Information Sciences: an International Journal
Inductive logic programming: issues, results and the challenge of learning language in logic
Artificial Intelligence - Special issue on applications of artificial intelligence
Computational conflicts: conflict modeling for distributed intelligent systems
Computational conflicts: conflict modeling for distributed intelligent systems
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Explanation-Based Generalization: A Unifying View
Machine Learning
Learning of Simple Conceptual Graphs from Positive and Negative Examples
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Adaptation and Learning in Multi-Agent Systems: Some Remarks and a Bibliography
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Opinion-Based Filtering through Trust
CIA '02 Proceedings of the 6th International Workshop on Cooperative Information Agents VI
Pattern Structures and Their Projections
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Performatives in a rationally based speech act theory
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Concept Formation and Learning: A Cognitive Informatics Perspective
ICCI '04 Proceedings of the Third IEEE International Conference on Cognitive Informatics
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Exploiting concept clusters for content-based information retrieval
Information Sciences—Informatics and Computer Science: An International Journal
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Machine Learning
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Reasoning about attitudes of complaining customers
Knowledge-Based Systems
Graph-based Relational Learning with Application to Security
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
The uncovering of hidden structures by Latent Semantic Analysis
Information Sciences: an International Journal
Accelerating customer relationships: using crm and relationship technologies™
Accelerating customer relationships: using crm and relationship technologies™
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
Learning communicative actions of conflicting human agents
Journal of Experimental & Theoretical Artificial Intelligence
Ranking semantic information for e-government: complaints management
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Expert Systems with Applications: An International Journal
Exploiting noun phrases and semantic relationships for text document clustering
Information Sciences: an International Journal
Computational Intelligence Based on Lattice Theory
Computational Intelligence Based on Lattice Theory
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Analyzing conflicts with concept-based learning
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
Learning closed sets of labeled graphs for chemical applications
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Ontology-based concept similarity in Formal Concept Analysis
Information Sciences: an International Journal
Assessing plausibility of explanation and meta-explanation in inter-human conflicts
Engineering Applications of Artificial Intelligence
A rule-based method for identifying the factor structure in customer satisfaction
Information Sciences: an International Journal
Information Sciences: an International Journal
Relating attribute reduction in formal, object-oriented and property-oriented concept lattices
Computers & Mathematics with Applications
On multi-adjoint concept lattices based on heterogeneous conjunctors
Fuzzy Sets and Systems
Inferring the semantic properties of sentences by mining syntactic parse trees
Data & Knowledge Engineering
A regularization framework in polar coordinates for transductive learning in networked data
Information Sciences: an International Journal
Exhaustive simulation of consecutive mental states of human agents
Knowledge-Based Systems
A web mining tool for assistance with creative writing
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection
International Journal of Approximate Reasoning
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In this paper, we apply concept learning techniques to solve a number of problems in the customer relationship management (CRM) domain. We present a concept learning technique to tackle common scenarios of interaction between conflicting human agents (such as customers and customer support representatives). Scenarios are represented by directed graphs with labeled vertices (for communicative actions) and arcs (for temporal and causal relationships between these actions and their parameters). The classification of a scenario is performed by comparing a partial matching of its graph with graphs of positive and negative examples. We illustrate machine learning of graph structures using the Nearest Neighbor approach and then proceed to JSM-based concept learning, which minimizes the number of false negatives and takes advantage of a more accurate way of matching sequences of communicative actions. Scenario representation and comparative analysis techniques developed herein are applied to the classification of textual customer complaints as a CRM component. In order to estimate complaint validity, we take advantage of the observation [19] that analyzing the structure of communicative actions without context information is frequently sufficient to judge how humans explain their behavior, in a plausible way or not. This paper demonstrates the superiority of concept learning in tackling human attitudes. Therefore, because human attitudes are domain-independent, the proposed concept learning approach is a good compliment to a wide range of CRM technologies where a formal treatment of inter-human interactions is required.