MAT JOURNALS
Published October 11, 2018 | Version v1
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A Comparative Detailed Study of Data Mining Methods and Tools in Data Warehouse

Authors/Creators

  • 1. Assistant Professor Department of Computer Science & Engineering, Institute of Technology and Management, Integrated Technical Campus, GIDA, Gorakhpur, UP, India

Description

Now-a-days we have a tendency to be in modern era. There are immense quantity of knowledge and knowledge, that to be collected from completely different sources and analyzed to urge the information. Once grouping the info from numerous sources, it's keep in huge repositories, that is thought as knowledge warehouse. There is variety of techniques wont to extract the knowledge from data warehouse and analyze to urge the important information that is thought as data processing. For this purpose, we have a tendency to use completely different data processing tools like wood hen, KEEL, R, KNIME, ORANGE etc. During this paper we are going to compare completely different data processing technique and tools for maintenance in knowledge warehouse.

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Additional details

References

  • Amit Kumar Kar, Shailesh Kumar Patel and Rajkishor Yadav, "A Comparative Study and Performance Evaluation of Different Clustering Techniques in Data Mining",IEEE sponsored ACEIT Conference Proceeding 2016, IJCSIT, March 2016
  • KalpanaRangara andDr. K. L. Bansal, "Comparative Study of Data Mining Tools", IJARCSSE, Volume 4, Issue 6, June2014, ISSN: 2277 128X
  • P. R. Vishwanath,Dr. D. Rajyalakshmi andDr. M. Sreedhar Reddy, "A Comparative Study of Data Mining Techniques in Maintenance of Data warehouse", IJSER, Volume 4, Issue 11, November 2013, ISSN: 2229-5518

Subjects

Computer Science Engineering
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