Data mining is the process of analyzing data from different views and summarizing it into useful data. “Data mining, also
popularly referred to as knowledge discovery from data (KDD), is the automated or convenient extraction of patterns representing
knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data
streams.”. This paper provides a survey on various data mining techniques such as classification, clustering, regression, summarization
and so on. This paper also discusses some of the data mining applications.
S. Sathiyapriya : Ph.D Research Scholar
NGM College
Pollachi – 642001.
Dr. A. Kanagaraj : Assistant Professor
PG Department of Computer Science
NGM College, Pollachi-642001
KDD, Data Mining, Data Mining Techniques, Data Mining Application.
According to the techniques of data mining listed
above, it is learned that this a powerful and essential
technique for performing manipulation of data that is data
mining gives proper and targeted outcome from large and
vastly growing data worldwide. This paper discusses the
idea of data mining, the process of KDD, different
techniques such as clustering, association, classification,
prediction and so on. We also discussed some insights of
the data mining applications.
[1] Tipawan Silwattananusarn, Dr.Kulthida Tuamsak “Data
Mining and its Application for Knowledge Management:
A Literature review from 2007 to 2012”, IJDKP:
International Journal of Data mining and Knowledge
Management Process, Vol.2, Issue.5, PP.13-24, Sep-2012.
[2] Aarti Sharma, Rahul Sharma, Vivek Kr.Sharma, Vishal
Shrivatava, “Application of Data Mining – A survey
Paper” IJCSIT : Internationl Journal of Computer Science
& Information Teachers, Vol.5, Issue.2, PP.2023-2025,
2014.
[3] K.Prema, A.Kumar Kombaiya “A survey on use of Data
Mining Methods Techniques and Application, IJARSE:
International Journal of Advanced Research in Science
and Engineering, Vol.6, Issue.12, PP.532-539, Dec-2017.
[4] Smita, Priti Sharma, “Use of Data Mining in Various
Field: A survey Paper”, IOSR-JCE: IOSR Journal of
Computer Engineering, Vol.16, Issue.3, PP.18-21, May-
Jun 2014.
[5] Hemlata Sahu, Shalini Shrma, Seema Gondhalakar, “A
Brief Overview on Data Mining Survey”,IJCTTE:
International Journal of Computer Technology and
Electronics Engineering, Vol.1, Issue.3, PP.114-121.
[6] Aakanksha Bhatnagar, Shweta P.jadye, Madan Mohan
Nagar, “Data Mining Techniques & Distinct Applications:
A Literature Review” IJERT: International Journal of
Engineering Research & Technology, Vol.1, Issue.9,
PP.1-3, Nov-2012.
[8] Brijesh Kumar Baradwaj, Saurakh Pal, “Mining
Educational Data to Analyze Students Performance”,
IJACSA: International Journal of Advanced Computer
Science and Applications, Vol.2, Issue.6, PP.63-69, 2011. [9] D Ramesh, B Vishnu Vardhan, “Data Mining Techniques
and Applications to Agricultural Yield Data”, IJARCCE:
International Journal of Advanced Research in Computer
and Communication Engineering, Vol.2, Issue.9, PP.3477-
3480, Sep-2013.
[10] Ruxandra – Stefania PETRE, “Data Mining in Cloud
Computing”, Database Systems Journal, Vol.III, Issue.3,
PP.67-71, 2012.
[11] Arun K Pujari, “Data Mining Techniques”, Universities
Press, India, PP.98-120, 2017.
[12] David L Olson, Dursun Delen, “Advanced Data Mining
Techniques”, Springer, PP.55-57, 2017.