A Study of Data Mining Tools in Knowledge Discovery Process
Y. Ramamohan1, K. Vasantharao2, C. Kalyana Chakravarti3, A.S.K.Ratnam4

1Y.Ramamohan Persuing M.Tech(CSE) From Vignan’s Lara Institurte of Technology & Sceince. Vadlamudi, Guntur. AP.. India. My research interests are Datamining and Computer networks.
2K.Vasantharao Persuing M.Tech(CSE) From Vignan’s Lara Institurte of Technology & Sceince. Vadlamudi, Guntur. AP.. India. My research interests are Datamining and Computer networks.
3C.Kalyana Chakravarti Persuing M.Tech(CSE) From Vignan’s Lara Institurte of Technology & Sceince. Vadlamudi, Guntur. AP.. India. My research interests are Datamining and Computer networks.
4A.S.K.Ratnam ,Assoc.Professor & Head.Department of Computer science engineering at Vignan’s Lara Institute of Technology & Science. Vadlamudi. Guntur. AP., India.My research interests are Image Processing

Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 191-197 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0753062312 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. It uses machine learning, statistical and visualization techniques to discovery and present knowledge in a form which is easily comprehensible to humans. Various popular data mining tools are available today. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. This paper presents an overview of the data mining tools like Weka, Tanagra, Rapid Miner, Orange.

Keywords: Data mining, Rapid Miner, Tool, WEKA.