Name
Title | ||
|---|---|---|
A Parallel Computation Method For Heuristic Attribute Reduction Using Reduced Decision Tables |
Abstract | ||
|---|---|---|
In this paper, we propose a parallel computation framework for a heuristic attribute reduction method. Attribute reduction is a key technique to use rough set theory as a tool in data mining. The authors have previously proposed a heuristic attribute reduction method to compute as many relative reducts as possible from a given dataset with numerous attributes. We parallelize our method by using open multiprocessing. We also evaluate the performance of a parallelized attribute reduction method by experiments. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.20965/jaciii.2013.p0371 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
rough set, attribute reduction, parallel computation, open multiprocessing | Heuristic,Decision table,Computer science,Parallel computing,Theoretical computer science,Multiprocessing,Rough set | Journal |
Volume | Issue | ISSN |
17 | 3 | 1343-0130 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasuo Kudo | 1 | 95 | 26.41 |
| Tetsuya Murai | 2 | 186 | 42.10 |