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August-2018
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal )
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIRC006430
Registration ID:
184935
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Title
FREQUENT QUESTION MINING USING APRIORI ALGORITHM
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Abstract
Examination process is an important activity for the education system and to analyze students’ performance. The nature of the exam questions would determine the quality of student talent by the institutions. With the help of the questions asked in the examination the performance of individual student will be evaluated. By Apriori Algorithm, a seminal algorithm for mining frequent item sets, this paper works on identifying the important and repeated questions from previous question papers.
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"FREQUENT QUESTION MINING USING APRIORI ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.643-649, August-2018, Available :http://www.jetir.org/papers/JETIRC006430.pdf
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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"FREQUENT QUESTION MINING USING APRIORI ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp643-649, August-2018, Available at : http://www.jetir.org/papers/JETIRC006430.pdf
Publication Details
Published Paper ID: JETIRC006430
Registration ID: 184935
Published In: Volume 5 | Issue 8 | Year August-2018
Page No: 643-649
Country: Vellore, TamilNadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRC006430
Published Paper PDF: https://www.jetir.org/papers/JETIRC006430
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