Deductive Data Analysis and Mining Granular Computing and Rough Set Theory of Data
نویسنده
چکیده
This article is bout the data analysis and mining aspects of Granular Computing(GrC) and Rough Set Theory(RST). This subject involves four concepts, deductive data analysis and mining (DDAM), relational databases (RDB), rough set theory (RST) and granular computing(GrC). The results are quite far reaching.
منابع مشابه
Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...
متن کاملResearch on Granular Computing Approach in Rough Set
Granulation of information appears in many areas, such as machine learning, evidence theory, and data mining. Granular computing is the core research field in granulation of information. It is an effective tool for complex problem, massive data mining and fuzzy information processing. In the basis of principle of granularity, we aim to study the granular decomposing method in granules space bas...
متن کاملGranulation using Clustering and Rough Set Theory and its Tree Representation
Granular computing deals with representation of information in the form of some aggregates and related methods for transformation and analysis for problem solving. A granulation scheme based on clustering and Rough Set Theory is presented with focus on structured conceptualization of information has been presented in this paper. Experiments for the proposed method on four labeled data exhibit g...
متن کاملRough Sets as a Framework for Data Mining
The issues of Real World are: a) Very large data sets b) Mixed types of data (continuous valued, symbolic data) c) Uncertainty (noisy data) d) Incompleteness (missing, incomplete data) e) Data change f) Use of background knowledge The main goal of the rough set analysis is induction of approximations of concepts. Rough sets constitute a sound basis for KDD. It offers mathematical tools to disco...
متن کاملTowards Granular Computing: Classifiers Induced From Granular Structures
Granular computing as a paradigm is an area frequently studied within the Approximate Reasoning paradigm. Proposed by L. A.Zadeh granular computing has been studied within fuzzy as well as rough set approaches to uncertainty. It is manifest that both theories are immanently related to granulation as fuzzy set theory begins with fuzzy membership functions whose inverse images are prototype granu...
متن کامل