Name
Abstract | ||
|---|---|---|
Several concepts and techniques have been imported from other disciplines such as Machine Learning and Artificial Intelligence to the field of textual data. In this paper, we focus on the concept of rule and the management of uncertainty in text applications. The different structures considered for the construction of the rules, the extraction of the knowledge base and the applications and usage of these rules are detailed. We include a review of the most relevant works of the different types of rules based on their representation and their application to most of the common tasks of Information Retrieval such as categorization, indexing and classification. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/j.ijar.2003.07.005 | International Journal of Approximate Reasoning |
Keywords | Field | DocType |
Rules,Fuzzy logic,Information retrieval,Association rules | Categorization,Neuro-fuzzy,Semantics of Business Vocabulary and Business Rules,Computer science,Fuzzy logic,Search engine indexing,Association rule learning,Artificial intelligence,Knowledge base,Machine learning,Production Rule Representation | Journal |
Volume | Issue | ISSN |
34 | 2 | 0888-613X |
Citations | PageRank | References |
8 | 0.51 | 31 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donald H. Kraft | 1 | 647 | 225.36 |
| M.J. Martı́n-Bautista | 2 | 23 | 1.40 |
| J. Chen | 3 | 9 | 1.23 |
| Daniel Sánchez | 4 | 124 | 15.47 |