Abstract
Document classification may be regarded as one of the central issues in information retrieval research during the last decades. The challenge of classification is to uncover the similarities between groups of data in order to improve the retrieval effectiveness of the overall system. From an exploratory data analysis point of view the same process of classification may be used to gain insight in the structure of the various data items and may thus be referred to as data mining in text archives.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Symposium on Cooperative Database System for Advanced Applications, Kyoto, Japan |
| Publication status | Published - Dec 1996 |
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science
