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Over view on Data Mining in Social Media

C.Amali Pushpam1 , J.Gnana Jayanthi2

  1. Dept. of Computer Science, Rajah Serfoji College, Tamil Nadu, India.
  2. Dept. of Computer Science, Rajah Serfoji College, Tamil Nadu, India.

Correspondence should be addressed to: joemarycap@gmail.com.

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-11 , Page no. 147-157, Nov-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i11.147157

Online published on Nov 30, 2017

Copyright © C.Amali Pushpam, J.Gnana Jayanthi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: C.Amali Pushpam, J.Gnana Jayanthi, “Over view on Data Mining in Social Media,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.11, pp.147-157, 2017.

MLA Style Citation: C.Amali Pushpam, J.Gnana Jayanthi "Over view on Data Mining in Social Media." International Journal of Computer Sciences and Engineering 5.11 (2017): 147-157.

APA Style Citation: C.Amali Pushpam, J.Gnana Jayanthi, (2017). Over view on Data Mining in Social Media. International Journal of Computer Sciences and Engineering, 5(11), 147-157.

BibTex Style Citation:
@article{Pushpam_2017,
author = {C.Amali Pushpam, J.Gnana Jayanthi},
title = {Over view on Data Mining in Social Media},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2017},
volume = {5},
Issue = {11},
month = {11},
year = {2017},
issn = {2347-2693},
pages = {147-157},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1557},
doi = {https://doi.org/10.26438/ijcse/v5i11.147157}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i11.147157}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1557
TI - Over view on Data Mining in Social Media
T2 - International Journal of Computer Sciences and Engineering
AU - C.Amali Pushpam, J.Gnana Jayanthi
PY - 2017
DA - 2017/11/30
PB - IJCSE, Indore, INDIA
SP - 147-157
IS - 11
VL - 5
SN - 2347-2693
ER -

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Abstract

Knowledge plays a vital role in every sphere of human life. Data Mining supports to acquire knowledge by discovering pattern / correlations among data. This information is applied in various applications like business, education, social media, medical, Agriculture etc. Data mining field has attained enormous success from its inception to the present level. Also it faces many issues especially while handling social media data. Social media is one of the important sources that provide huge volume of data that are unstructured and heterogeneous. Handling this data is really a very big challenge to the researchers. At present, a number of data mining algorithms and techniques are available with their own merits and demerits. Finding a suitable algorithm for a particular application is a very big challenge. This paper imparts many issues in data mining and also focuses scope of the data mining in social media which will be helpful in the further research.

Key-Words / Index Term

Data mining, social media, clustering, classification

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