Classification algorithms
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
Verification validation and accreditation of simulation models
Proceedings of the 29th conference on Winter simulation
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Practical programmer: inspections—some surprising findings
Communications of the ACM
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining in finance: advances in relational and hybrid methods
Data mining in finance: advances in relational and hybrid methods
Data mining: concepts and techniques
Data mining: concepts and techniques
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Knowledge discovery in databases: 10 years after
ACM SIGKDD Explorations Newsletter
Geographic Data Mining and Knowledge Discovery
Geographic Data Mining and Knowledge Discovery
Mining Sequential Patterns from Large Data Sets (The Kluwer International Series on Advances in Database Systems)
Clustering For Data Mining: A Data Recovery Approach (Chapman & Hall/Crc Computer Science)
Clustering For Data Mining: A Data Recovery Approach (Chapman & Hall/Crc Computer Science)
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Validation and verification of social processes within agent-based computational organization models
Computational & Mathematical Organization Theory
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Agent-based modeling and simulation: desktop ABMS
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Data Mining in Bioinformatics
Neural networks for classification: a survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Discovering golden nuggets: data mining in financial application
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Learning dynamic adaptation strategies in agent-based traffic simulation experiments
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
Using agent based modeling and simulation for data mining
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Simulation data mining for supporting bridge design
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
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In this paper, we introduce an integration study which combines Data Mining (DM) and Agent Based Modeling and Simulation (ABMS). This study, as a new paradigm for DM/ABMS, is concerned with two approaches: (i) applying DM techniques in ABMS investigation, and inversely (ii) utilizing ABMS results in DM research. Detailed description of each approach is presented in this paper. A conclusion and the future work of this (integration) study are given at the end.