STATISTICA Software: A State of the Art Review

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:
[1] Ms. Aparna Raj, Mrs. Bincy G, Mrs. T.Madhu. “Survey on Common
Data Mining Classification Techniques”. International Journal of
Wisdom Based Computing, Vol: 2(1), 2012
[2] S. Sarumathi, N. Shanthi, S. Vidhya M. Sharmila. “A Review:
Comparative Study of Diverse Collection of Data Mining Tools”.
International Journal of Computer, Information, Systems and Control
Engineering Vol: 8 No: 6, 2014
[3] Statistica Data Miner (Online). Available at:
http://www.statsoft.com/Solutions/Cross-Industry/Data-Mining
[4] Statistica Text Miner (Online). Available at:
http://www.statsoft.com/Products/STATISTICA/Text-Miner
[5] Statistica Enterprise Server (Online). Available at:
http://www.statsoft.com/Products/STATISTICA/Enterprise-Server
[6] Statistica Data Miner (Online). Available at:
http://www.statsoft.com/Products/STATISTICA/Data-Miner
[7] Statistica Data Miner (Online). Available at:
http://www.statsoft.com/Portals/0/Support/Download/Brochures/STATI
STICA Data Miner.pdf