Question Classification based on Rough Set Attributes and Value Reduction
نویسندگان
چکیده
منابع مشابه
Web Document Classification Based on Rough Set
For traditional way of Web document representation in Vector Space Model, zero-valued similarity problem between vectors occurs frequently, which decreases classificatory quality when defining the relation between Web documents. In this paper, a novel Web document representation and classification approach based on rough set is proposed. Firstly, TF*IDF weighting scheme is used to assign weight...
متن کاملAttribute Reduction Based on Approximation Set of Rough Set ⋆
Attribute reduction is one of the core issues of the rough set theory. The traditional method of attribute reduction was designed based on positive region unchanged, as abandoning processing the incompatible data in the boundary domain, so the classification characteristics of the reduction results are not necessarily best. In this paper, the concept of relative approximate degree is proposed i...
متن کاملA Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory
Dimension reduction aims to remove unnecessary attributes from datasets to overcome the problem of “the curse of dimensionality”, which is an obstacle in classification. Based on the analysis of the limitations of the standard rough set theory, we propose a new dimension reduction approach based on binary particle swarm optimisation (BPSO) and probabilistic rough set theory. The new approach in...
متن کاملChinese Character Classification Based on Rough Set and SVM Algorithm1
In the paper, we present a integrated approach combined Rough Set theory and SVM algorithm. The approach udl be divided into two steps. The fust step is classified roughlv with Rough Set, rule should be induced in this step by infonilation system. The second step should ht: classified precisely based on SVM Algorithn~, in this step we present two new fiuidrunental principles to help us select b...
متن کاملRough Set Based Intelligent Welding Quality Classification
The knowledge base of welding defect recognition is essentially incomplete. This characteristic determines that the recognition results do not reflect the actual situation. It also has a further influence on the classification of welding quality. This paper is concerned with the study of a rough set based method to reduce the influence and improve the classification accuracy. At first, a rough ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2011
ISSN: 1812-5638
DOI: 10.3923/itj.2011.1061.1065