Open Access Journal

ISSN : 2394-2320 (Online)

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

Monthly Journal for Computer Science and Engineering

Open Access Journal

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

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Survey of Associative Classification Techniques for Text Mining

Author : Asst. Prof. Ms. Shweta M. Kambare 1 Asst. Prof. Mrs. Varsha A. Jujare 2 Asst. Prof. Mr. Atul A. Kumbhar 3

Date of Publication :7th February 2017

Abstract: Amount of unorganized text data is increasing day by day as the use of internet is increasing. Proper classification and knowledge discovery from these documents is an important area for research. Approximately 80% of the information of an organization is stored in unstructured textual format, in the form of reports, email, views and news etc. So there is need of automatic retrieval of useful knowledge from the huge amount of textual data in order to assist the human analysis. Associative classification is one of the most efficient techniques for text classification. Associative classification is integration of association rule mining and classification rule mining. In this paper, different techniques of associative classification are discussed in brief.

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