Data Mining - Techniques, Methods and Algorithms: A Review on Tools and their Validity

  • Gera M
  • Goel S
N/ACitations
Citations of this article
160Readers
Mendeley users who have this article in their library.

Abstract

Data mining is the process of extracting the useful data, patterns and trends from a large amount of data by using techniques like clustering, classification, association and regression. There are a wide variety of applications in real life. Various tools are available which supports different algorithms. A summary about data mining tools available and the supporting algorithms is the objective of this paper. Comparison between various tools has also been done to enable the users use various tools according to their requirements and applications. Different validation indices for the validation are also summarized.

Cite

CITATION STYLE

APA

Gera, M., & Goel, S. (2015). Data Mining - Techniques, Methods and Algorithms: A Review on Tools and their Validity. International Journal of Computer Applications, 113(18), 22–29. https://doi.org/10.5120/19926-2042

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free