Big Data Mining Tools and Applications

It is to Define terabytes, petabytes and Exabyte of data captured over time. The big data analytics project measure an item's prosperity and future deals by relating past deals information. Everyday new tools are appearing, such as Hadoop appliances. Data mining is the process of sorting through large data  to identify Figure and establish relationships to solve problems through data analysis. data mining parameters include Sequence Analysis, machine learning Clustering and Forecasting, algorithms predict variables based on other factors within the database. Data mining techniques are used in, mathematics, cybernetics, genetics and marketing like research units. The Advantages of data mining is the ability to uncover hidden patterns and relationships in data that can be used to make forecast that impact businesses.

 

Data MINING APPLICATIONS:

Future Healthcare, Market Basket Analysis, Manufacturing Engineering, CRM, Fraud Detection, Intrusion Detection, Customer Segmentation, Financial Banking, Corporate Surveillance, Research Analysis, Criminal Investigation.

Related Companies:

Aureus Analytics, Astra (Philippines) Inc, SYN System Solutions, Synechron Technologies Hong Kong Limited, NTT DATA Vietnam, Microsoft Taiwan, NTT DATA Myanmar Co., Ltd, Fujitsu (China) Information System Co., Ltd, N-iX, Aware Corporation Limited, Cresittel Co., Ltd, Sage Software Middle East, Temenos Australia Pty Ltd, IFS Germany GmbH & Co. KG, SAP Japan Co., Ltd. - Western Region, SolutionDots Systems, Sonata Software North America Inc - Dallas Office

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