Data Mining for Knowledge Organization

Data Mining for Knowledge Organization By Kenji YAMANISHI* and Satoshi MORINAGA* *Internet Systems Research Laboratories It becomes increasingly important to automatically discover business knowledge from large databases in order to drastically reduce operators’ costs in the areas of CRM (Customer Relationship Management), knowledge management, Web marketing, etc. This paper introduces NEC’s technology concept of Knowledge Organization and data mining engines designed for it. They include text mining tool SurveyAnalyzer, key semantics mining, and topic analysis engine TopicAnalyzer. We briefly overview the principles of these engines and illustrate their applications to real domains.