Abstract:
In this paper we mainly focus on the techniques of data mining such as clustering, classification etc. In today's strategy it becomes a hectic task to gather, analyze and...Show MoreMetadata
Abstract:
In this paper we mainly focus on the techniques of data mining such as clustering, classification etc. In today's strategy it becomes a hectic task to gather, analyze and extract huge amount of datasets. So we use many efficient methods for the practical integration of the data. Some of the main techniques are fuzzy set theory, approximate reasoning, genetic algorithms etc. It is also useful for transformation to many fields and also decision making. It also enhances Knowledge discovery database(KDD) for retrieving the information from any kind of formats like graph, flow chart, video etc. This mainly focuses on the data mining methodologies to handle the huge amounts of data in logical and systematic manner.
Published in: 2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC)
Date of Conference: 22-23 March 2017
Date Added to IEEE Xplore: 15 February 2018
ISBN Information: