Topic: Rough Set Thesis — 885079 | Otaku

ROSETTA is a toolkit for analyzing tabular data within the framework of rough set theory. ROSETTA is designed to support the overall data mining and knowledge discovery process: From initial browsing and preprocessing of the data, via computation of minimal attribute sets and generation of if-then rules or descriptive patterns, to validation and analysis of the induced rules or patterns.

The investigation of the Bayesian rough set model

ROSETTA is a toolkit for analyzing tabular data within the framework of rough set theory

Rough set theory as a new mathematical ..

Knowledge Discovery in Databases (KDD) is an active research area with the promise for a high payoff in many business and scientific applications. The grand challenge of knowledge discovery in databases is to automatically process large quantities of raw data, identify the most significant and meaningful patterns, and present this knowledge in an appropriate form for achieving the user's goal. Knowledge discovery systems face challenging problems from the real-world databases which tend to be very large, redundant, noisy and dynamic. Each of these problems has been addressed to some extent within machine learning, but few, if any, systems address them all. Collectively handling these problems while producing useful knowledge efficiently and effectively is the main focus of the thesis. In this thesis, we develop an attribute-oriented rough set approach for knowledge discovery in databases. The method adopts the artificial intelligent "learning from examples" paradigm combined with rough...

CiteSeerX — Rough Sets: A Tutorial

A rapid growth of interest in rough set theory [290] and its applications can be lately seen in the number of international workshops, conferences and seminars that are either directly dedicated to rough sets, include the subject in their programs, or simply accept papers that use this approach to solve problems at hand. A large number of high quality papers on various aspects of rough sets and their applications have been published in recent years as a result of this attention. The theory has been followed by the development of several software systems that implement rough set operations. In Section 12 we present a list of software systems based on rough sets. Some of the toolkits, provide advanced graphical environments that support the process of developing and validating rough set classifiers. Rough sets are applied in many domains, such as, for instance, medicine, finance, telecommunication, vibration analysis, conflict resolution, intelligent agents, image analysis, p...

(2006)Rough Set Rules Extraction for Student Programming Skills. Masters thesis, Universiti Utara Malaysia.

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