| Publisher | Rensselaer Polytechnic Institute | ||
|---|---|---|---|
| Format | 1.2MB PDF | Date added | 07 Oct 2005 |
| Topics | Data Mining - Analysis, Data Visualization | ||
| Downloads | 10 | ||
FPM (Frequent Pattern Mining) is a data mining paradigm to extract informative patterns from massive datasets. Researchers have developed numerous novel algorithms to extract these patterns. Unfortunately, the focus primarily has been on a small set of popular patterns (itemsets, sequences, trees and graphs) and no framework for integrating the FPM process has been attempted. This paper introduces DMTL, a generic pattern mining library which fuses theoretical concepts from formal concept analysis and generic programming. It provides a framework that allows mining a large spectrum of patterns. The paper expresses each pattern in terms of its relational properties. Describing patterns based on their properties results in a pattern concept hierarchy.
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