A Study of Data Mining Tools in Knowledge Discovery Process
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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.
[1] Padhraic Smyth,et al. From Data Mining to Knowledge Discovery: An Overview , 1996, Advances in Knowledge Discovery and Data Mining.
[2] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[3] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.