Titlebook: Local Pattern Detection; International Semina Katharina Morik,Jean-François Boulicaut,Arno Siebe Conference proceedings 2005 Springer-Verla

gruelling

Features for Learning Local Patterns in Time-Stamped Data,e aspect of state change and its representation for learning local patterns in time-stamped data. Besides a simple Boolean representation indicating a change, we use frequency features from information retrieval. We transfer Joachim’s theory for text classification to our task and investigate its fi

Gerontology

售穴

Knowledge-Based Sampling for Subgroup Discovery,ledge-based sampling approach to iterative model refinement is presented. It is a general, cheap way of incorporating prior probabilistic knowledge in arbitrary form into Data Mining algorithms addressing supervised learning tasks.