World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , 

World Journal of Engineering
Research and Technology

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.218

ICV : 79.45

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Indexing

Abstract

A STATE OF THE ART REVIEW ON DATA MINING WITH BIG DATA

M. Sharmila*

ABSTRACT

Data Mining indulged with Big data in numerous and autonomous sources concerned with large-volume, complex information and growing data sets are the emerging impact in present scenario. Big data are now quickly developing in all domains like biological, physical and biomedical sciences with the rapid growth of data storage, data collection capacity and the networking. Big Data doesn’t fits into a well formatted tables rather than it has many new unstructured and structured data that tends to be much challenging factor to get processed easily. Owing to the fast development of these data, results are needed to be studied as well provided so as to handle and mine knowledge and value from these datasets. Additionally, to gain valuable insights from varied and quickly changing data, decision makers need to be ranging from day-to-day transactions to customer interactions in addition to social network data. These values are offered using big data analytics that is the application of progressive analytics method on big data. The goal of this paper is to examine some of the diverse analytics techniques as well as tools that are applied to process and manipulate the big data.

[Full Text Article]