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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	Analyzing Social Media Data in Sector like education Using Data Mining
Authors Name:	Prof .I.R.Shaikh , Shinde Vaishnai Paresh , Somvanshi Snehal Digambar , Bhavsar Vinita Prakash , Shelke Nikita Mahesh
Unique Id:	IJSDR1812020
Published In:	Volume 3 Issue 11, December-2018
Abstract:	The upcoming method in studying analytics and institutional data mining is on analyzing structured data taken from program management systems, or controlled online studying environments to inform educational decision-making. However, there is no proper method found to mine and analyze student posted messages from uncontrolled spaces on the social web sites with the clear goal of understanding students learning experiences. Data Mining is defined as extracting the knowledge from the huge data. This information can be used for any of the applications such as Market Analysis, Fraud Detection, Customer Retention, etc. The research goals of this study are to demonstrate a workflow of social media data for decision making in educational sectors, integrating both qualitative analysis and large scale data mining techniques and to explore students’ informal conversations on platform like Facebook, in order to understand issues and problems encountered.
Keywords:	Facebook, Pattern, structured data, Integration, Media.
Cite Article:	"Analyzing Social Media Data in Sector like education Using Data Mining", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.125 - 127, December-2018, Available :http://www.ijsdr.org/papers/IJSDR1812020.pdf
Downloads:	000337074
Publication Details:	Published Paper ID: IJSDR1812020 Registration ID:180896 Published In: Volume 3 Issue 11, December-2018 DOI (Digital Object Identifier): Page No: 125 - 127 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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