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Title: :  A Survey On Side Information for Text Mining
PaperId: :  6679
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 5 2017
DUI:    16.0415/IJARIIE-6679
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pranjali KumbharDKTE,Ichalkarnji
Prof.T.I.BagbanDKTE,Ichalkarnji

Abstract

Text Mining
Text Mining, side Information, Clustering
Any text mining application may contain side information. This side information may be any links in the document, web logs which contain user access behavior, provenance information, the links for any document or any other non-textual attributes which are embedded into the text document. All these attributes may contain a huge amount of information for clustering purposes. But it is difficult to count the concerned importance of this side information especially when some of the data is noisy. In that matter, it is dangerous to merge side-information into the mining process because it can upgrade the quality of the representation for the mining process or can add noise in this system. Thus, there should be a right way to do this mining process so that it will make use of side information to maximize their advantages. Therefore, it is suggested to design an efficient algorithm which makes combination of classical portioning algorithm with probabilistic models in order to create an effective clustering approach. Afterwards, extension to the classification problem is also shown.

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IJARIIE Pranjali Kumbhar, and Prof.T.I.Bagban. "A Survey On Side Information for Text Mining" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 5 2017 Page 643-646
MLA Pranjali Kumbhar, and Prof.T.I.Bagban. "A Survey On Side Information for Text Mining." International Journal Of Advance Research And Innovative Ideas In Education 3.5(2017) : 643-646.
APA Pranjali Kumbhar, & Prof.T.I.Bagban. (2017). A Survey On Side Information for Text Mining. International Journal Of Advance Research And Innovative Ideas In Education, 3(5), 643-646.
Chicago Pranjali Kumbhar, and Prof.T.I.Bagban. "A Survey On Side Information for Text Mining." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 5 (2017) : 643-646.
Oxford Pranjali Kumbhar, and Prof.T.I.Bagban. 'A Survey On Side Information for Text Mining', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 5, 2017, p. 643-646. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Survey_On_Side_Information_for_Text_Mining_ijariie6679.pdf (Accessed : 10 October 2019).
Harvard Pranjali Kumbhar, and Prof.T.I.Bagban. (2017) 'A Survey On Side Information for Text Mining', International Journal Of Advance Research And Innovative Ideas In Education, 3(5), pp. 643-646IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Survey_On_Side_Information_for_Text_Mining_ijariie6679.pdf (Accessed : 10 October 2019)
IEEE Pranjali Kumbhar, and Prof.T.I.Bagban, "A Survey On Side Information for Text Mining," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 5, pp. 643-646, Sep-Oct 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Survey_On_Side_Information_for_Text_Mining_ijariie6679.pdf [Accessed : 10 October 2019].
Turabian Pranjali Kumbhar, and Prof.T.I.Bagban. "A Survey On Side Information for Text Mining." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 5 (10 October 2019).
Vancouver Pranjali Kumbhar, and Prof.T.I.Bagban. A Survey On Side Information for Text Mining. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 10 October 2019]; 3(5) : 643-646. Available from: https://ijariie.com/AdminUploadPdf/A_Survey_On_Side_Information_for_Text_Mining_ijariie6679.pdf
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