Data Mining: Knowledge Discovery in Databases

  • Dr. Maulik N. Pandya HOD, Assistant Professor M.Sc. IT Department
  • Mr. Bhavin B. Patel Assistant Professor Shri A. N. Patel P. G. Institute
DOI: https://doi.org/10.53555/cse.v2i8.654
Keywords: Data Mining, Data Exploration, OLAP, Data Visualization

Abstract

Database is a technology for data loading, storing, manipulating, querying, sharing and controlling.
Leading-edge technology areas, such as data warehousing, web-based applications, object oriented databases,
distributed databases, and front end tools are being increasingly utilized by organizations to manage large volume
of generated data and information like a Data Mining. This paper explores various statistics methods related with
data exploration. Data Exploration is mainly dependent upon the factors like (A) Summary statistics (B)
Visualization (C) Online Analytical Processing (OLAP). Thus Data exploration is quite useful to understand the
trend, behavior of data and information provided by data mining techniques.

Downloads

Download data is not yet available.

Author Biographies

Dr. Maulik N. Pandya, HOD, Assistant Professor M.Sc. IT Department

HOD, Assistant Professor M.Sc. IT Department hri A. N. Patel P. G. Institute
Anand

Mr. Bhavin B. Patel, Assistant Professor Shri A. N. Patel P. G. Institute

Assistant Professor Shri A. N. Patel P. G. Institute
Anand

Published
2016-08-31
How to Cite
Pandya, D. M. N., & Patel, M. B. B. (2016). Data Mining: Knowledge Discovery in Databases. IJRDO -Journal of Computer Science Engineering, 2(8), 40-45. https://doi.org/10.53555/cse.v2i8.654
Issue
Vol. 2 No. 8 (2016): IJRDO - Journal of Computer Science Engineering
Section
Articles

Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties, and that the Article has not been published elsewhere. Author(s) agree to the terms that the IJRDO Journal will have the full right to remove the published article on any misconduct found in the published article.