The role of domain knowledge in data mining
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Small is beautiful: discovering the minimal set of unexpected patterns
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM SIGKDD Explorations Newsletter
Empirical bayes screening for multi-item associations
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Using conjunction of attribute values for classification
Proceedings of the eleventh international conference on Information and knowledge management
The involvement of human resources in large scale data mining projects
ISICT '03 Proceedings of the 1st international symposium on Information and communication technologies
Evaluation of decision trees: a multi-criteria approach
Computers and Operations Research
Interestingness of frequent itemsets using Bayesian networks as background knowledge
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Sampling-based sequential subgroup mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Expert Systems with Applications: An International Journal
International Journal of Business Intelligence and Data Mining
Temporal rule induction for clinical outcome analysis
International Journal of Business Intelligence and Data Mining
Finding "persistent rules": Combining association and classification results
Expert Systems with Applications: An International Journal
Testing terrorism theory with data mining
International Journal of Data Analysis Techniques and Strategies
When to choose an ensemble classifier model for data mining
International Journal of Business Intelligence and Data Mining
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Data mining the American National Election Study (ANES), a rich but disparate source of information about Americans' vote choices, is the focus of this research. Specifically, we use data mining classification to construct a decision tree to select important predictors of the vote from the more than 900 items that compose the ANES. We use an iterative domain expert and data mining process to identify a limited number of survey questions intended to predict for which party an individual will vote in a presidential election or whether that individual will vote at all.