Abstract
Data and text mining is a science that statistics, machine learning, and data bases technologies are unified into for the purpose of knowledge discovery from a large amount of data. Specifically among the advanced topics in this area we pick up the issues of statistical outluer detection, outlier filtering rule generation, time series mining, and reputation-analysis on the web, and introduce an approach to them from the pointview of information-based induction sciences.
