Discovering Trends in Text Databases

We describe a system we developed for identifying trends in text documents collected over a period of time. Trends can be used, for example, to discover that a company is shifting interests from one domain to another. Our system uses several data mining techniques in novel ways and demonstrates a method in which to visualize the trends. We also give experiences from applying this system to the IBM Patent Server, a database of U.S. patents.

• Type: Conference
• Year: 1997
• Where: KDD
• Authors: Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant
• Keywords: Data Mining, Data Mining Techniques, IBM Patent Server, KDD 1997, Text Documents