A Review on Tools for Data Mining Application in the Diagnosis of Psychiatric DiseasesJournal: International Journal of Advanced and Innovative Research (IJAIR) (Vol.6, No. 12)
Publication Date: 2017-12-29
Authors : Shivangi Jain Mohit Gangwar;
Page : 45-49
Keywords : Weka Tool; Rapid Miner; Orange; Knime; Data Melt; Apache Mahout; ELKI; MOA; KEEL; RATTLE;
Data mining and processing large amount of data captured by various resources produce many outputs. Several research direction and solutions to the previously arise problems can understand by the large amount of past study data. Various resource such as UCI, different medical institutions, various medical readings and devices produce large amount of data. In order to understand the large data there are tools for mining their knowledge. Data extraction, mining knowledge from that is an important task which gives output for utilization. There are different tools such as Weka tool, Rapid miner etc are the best effort tool which provide better understanding of large data in visualize form. In this paper a study about the different data mining tools , which can be used for psychiatric disease disorder mining is studied. Different tools discuss about their features and advantages to process large medical data. Further a comparison between the tools among is presented. As per study it is described that using tools is very much effective and easy to process understanding large amount of data.
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