Document clustering, the grouping of documents into several clusters, has been recognized as a means for improving efficiency and effectiveness of information retrieval and text mining. With the growing importance of electronic media for storing and exchanging large textual databases, document clust
A rough set view on Bayes' theorem
✍ Scribed by Zdzisław Pawlak
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 97 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
✦ Synopsis
Rough set theory offers new perspective on Bayes' theorem. The look on Bayes' theorem offered by rough set theory reveals that any data set (decision table) satisfies the total probability theorem and Bayes' theorem. These properties can be used directly to draw conclusions from objective data without referring to subjective prior knowledge and its revision if new evidence is available. Thus, the rough set view on Bayes' theorem is rather objective in contrast to subjective "classical" interpretation of the theorem.
📜 SIMILAR VOLUMES
We define a group theoretical invariant, denoted by s G , as a solution of a certain set covering problem and show that it is closely related to chl(G), the cohomology length of a p-group G. By studying s G we improve the known upper bounds for the cohomology length of a p-group and determine chl(G)
Limit theorems under the assumption of restricted convergence on a set with a finite limit point Von BERND JESIAP, Leipdg (Eingegangen am 27. 10. 1978) Summary. We consider double sequences { ( X n k ) } of independent and asymptotically constant kn random variables. For certain constants A , we pu