On Rough Set Modelling for Data Mining
نویسنده
چکیده
Many problems in real world can be explained in natural languages. Rough Set Theory is defined with many operations, rules extended from classical set theory and is widely used to model systems related to data mining. The paper is a description of Rough Set Theory and an illustration of modeling a real world problem based on Rough set approximations.
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 کاملCalculation of One-dimensional Forward Modelling of Helicopter-borne Electromagnetic Data and a Sensitivity Matrix Using Fast Hankel Transforms
The helicopter-borne electromagnetic (HEM) frequency-domain exploration method is an airborne electromagnetic (AEM) technique that is widely used for vast and rough areas for resistivity imaging. The vast amount of digitized data flowing from the HEM method requires an efficient and accurate inversion algorithm. Generally, the inverse modelling of HEM data in the first step requires a precise a...
متن کاملA NON-RADIAL ROUGH DEA MODEL
There are situations that Decision Making Units (DMU’s) have uncertain information and their inputs and outputs cannot alter redially. To this end, this paper combines the rough set theorem (RST) and Data Envelopment Analysis (DEA) and proposes a non-redial Rough-DEA (RDEA) model so called additive rough-DEA model and illustrates the proposed model by a numerical example.
متن کاملارائه روشی ترکیبی برای افزایش دقت پیشبینی در کاهش داده با استفاده از مدل مجموعه راف و هوش تجمعی
Designing a system with an emphasis on minimal human intervention helps users to explore information quickly. Adverting to methods of analyzing large data is compulsory as well. Hence, utilizing power of the data mining process to identify patterns and models become more essential from aspect of relationship between the various elements in the database and discover hidden knowledge. Therefore, ...
متن کاملAn In-Database Rough Set Toolkit
The Rough Set Theory is a common methodology to discover hidden patterns in data. Most software systems and libraries using methods of that theory originated in the mid 1990s and suffer from timeconsuming operations or high communication costs. Today on the other hand there is a perceptible trend for in-database analytics allowing ondemand decision support. While data processing and predictive ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012