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19

KDD
1997
ACM

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Discovering Trends in Text Databases

13 years 8 months ago

Discovering Trends in Text Databases

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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.

Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant

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Data Mining | Data Mining Techniques | IBM Patent Server | KDD 1997 | Text Documents |

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Added	08 Aug 2010
Updated	08 Aug 2010
Type	Conference
Year	1997
Where	KDD
Authors	Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant

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