C4.5: programs for machine learning
C4.5: programs for machine learning
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Data preparation for data mining
Data preparation for data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Multi-level organization and summarization of the discovered rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
The UCI KDD archive of large data sets for data mining research and experimentation
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Machine Learning
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Mining California Vital Statistics Data
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A survey of data mining and knowledge discovery software tools
ACM SIGKDD Explorations Newsletter
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
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Vital statistics data offer a fertile ground for data mining. In this paper, we discuss the results of a data-mining project on the causes of death aspect of the vital statistics data in the state of California. A data-mining tool called Cubist is used to build predictive models out of two million cases over a nine-year period. The objective of our study is to discover knowledge (trends, correlations or patterns) that may not be gleaned through standard techniques. The generated predictive models allow pertinent state agencies to gain insight into various aspects of the death rates in the state of California, to predict health issues related to the causes of death, to offer an aid to decision or policy-making process and to provide useful information services to the customers. The results obtained in our study contain valuable new information.