Finding Characteristic Pattern Sets through Compression.

Most pattern discovery algorithms easily generate very large numbers of patterns, making results impossible to understand and hard to use. In this project, we propose to develop and study general techniques to using compression as a means for finding compact, characteristic sets of patterns. Such pattern sets should contain only high quality patterns that are of direct interest to the user and her application.

Keywords:SUMMARIZATION, MACHINE LEARNING, DATABASES, DATA MINING

Disciplines:Applied mathematics in specific fields, Artificial intelligence, Computer architecture and networks, Distributed computing, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Cognitive science and intelligent systems