International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,March 2018,

Topic : A Systematic Performance of Various Multi Class Imbalance Data Classification in Data Mining

Authors:Ganesh.T || Nirmal Kumar.A, Sankara Gomathi.S

Abstract:The usage of data is increasing day by day. There is a huge amount of data storage is required for handling the millions of twits, shares in social networks (twitter, facebook, WhatsApp, and youtube) per second. Databases are playing a vital role in data warehousing and mining. The process of storing the data in large repository place is known as Data Warehousing. Nowadays, Search Engines are struggling to follow the Search Engine Optimization techniques. So there is a pressure for the data analyst to fetch the data from the data warehouse efficiently. The task of classification with imbalanced datasets have attracted quite an interest from researchers in the recent years. Accordingly, various classification techniques are used to handle the newly arrived large amount of data. So many applications have been designed to address this problem from the different perspective such as data pre-processing, algorithm modification and sensitive learning. The problem of constructing fast and accurate classifiers in large data set is an important task in data mining and knowledge discovery. This paper illustrates the various classification techniques and also to improve the correctness of classifier for Classification Techniques in Data Mining.

Keywords: Data Mining, Data Warehousing, Classification Techniques, Classifiers, Imbalanced datasets

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DOI: 01.1617/vol5/iss3/pid53789


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Dr. Allon Guez
Professor, Drexel University,
USA


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Journal Code : IJERCSE
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