We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...
- The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been inv...
Christina Schweikert, Yanjun Li, David Dayya, Davi...
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...