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Statistica Software: A State Of The Art Review

Authors: S. Sarumathi; N. Shanthi; S. Vidhya; P. Ranjetha;

Statistica Software: A State Of The Art Review

Abstract

Data mining idea is mounting rapidly in admiration and also in their popularity. The foremost aspire of data mining method is to extract data from a huge data set into several forms that could be comprehended for additional use. The data mining is a technology that contains with rich potential resources which could be supportive for industries and businesses that pay attention to collect the necessary information of the data to discover their customer’s performances. For extracting data there are several methods are available such as Classification, Clustering, Association, Discovering, and Visualization… etc., which has its individual and diverse algorithms towards the effort to fit an appropriate model to the data. STATISTICA mostly deals with excessive groups of data that imposes vast rigorous computational constraints. These results trials challenge cause the emergence of powerful STATISTICA Data Mining technologies. In this survey an overview of the STATISTICA software is illustrated along with their significant features.

{"references": ["Ms. Aparna Raj, Mrs. Bincy G, Mrs. T.Madhu. \"Survey on Common\nData Mining Classification Techniques\". International Journal of\nWisdom Based Computing, Vol: 2(1), 2012", "S. Sarumathi, N. Shanthi, S. Vidhya M. Sharmila. \"A Review:\nComparative Study of Diverse Collection of Data Mining Tools\".\nInternational Journal of Computer, Information, Systems and Control\nEngineering Vol: 8 No: 6, 2014", "Statistica Data Miner (Online). Available at:\nhttp://www.statsoft.com/Solutions/Cross-Industry/Data-Mining", "Statistica Text Miner (Online). Available at:\nhttp://www.statsoft.com/Products/STATISTICA/Text-Miner", "Statistica Enterprise Server (Online). Available at:\nhttp://www.statsoft.com/Products/STATISTICA/Enterprise-Server", "Statistica Data Miner (Online). Available at:\nhttp://www.statsoft.com/Products/STATISTICA/Data-Miner", "Statistica Data Miner (Online). Available at:\nhttp://www.statsoft.com/Portals/0/Support/Download/Brochures/STATI\nSTICA Data Miner.pdf"]}

Keywords

Association, STATISTICA Data Miner, Enterprise Server, Data Mining, Text Miner, Classification, Regression., Clustering

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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