Rough Sets: Introduction

The amount of information in the world is increasing at a very high rate. With this increases the problem of efficiently and effectively using the abundant information. Rough Set is a mathematical tool to discover patterns hidden in data. It deals with the ”decision” of ”selecting” suitable attributes and objects. There are collections of objects which may not be defined using a given knowledge, Rough Sets allows us to view them approximately. We shall discussed the problem of suitable attribute and object selection applied to text data using the Rough Set Theory.

Rough Sets are highly used in various domains such as medical data analysis and disease diagnosis, information retrieval, text mining, economic and financial prediction. The advantage of using Rough Sets is that given a knowledge base the facts hidden in data are extracted out. There is no need of additional information like ”cut-offs (thresholds)”, ”interval lengths”, etc. Further, once the knowledge base is formed the problem becomes domain independent. Thus, this is a closed-world problem.

Approximation of Sets

Membership Measure

Published by nidhk

I have an eager research-based approach to solve problems in the domain of Artificial Intelligence and Computer Applications. I find solutions based on my strong knowledge and foundations in the subjects like Artificial Intelligence, Machine Learning, Data Mining, Optimization Techniques, Linear Algebra to mention a few. This is augmented by my high standard of coding skills which vary from C++, Java, Perl to Data Science languages such as Python, R and MATLAB. To further establish, it many of the my works have already been published online as research papers in well reputed journals. I have intense experience in Natural Language Processing applications such as summarization, search, retrieval, sentiment analysis, wordnet, deep learning. I have completed PhD specializing in Artificial Intelligence. Having worked on real time implementations of various applications of Computer Science. The domains that I have worked on are Health Care System, Electronic Document Management Systems, Natural Text Mining, EDA, Web Development etc. Apart from profession, I have inherent interest in writing especially poems, stories, doing painting, cooking, photography, music to mention a few!

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