Advantages Of Big Data Mining

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Abstract The “big data” and “big data mining” are the terms which are growing on increasing as the use of internet, smartphones and the networking technologies are increasing. The data generation rate get doubled or tripled in some recent years. So to make proper usefulness of this vast amount of data, mining from big data has almost immediately followed up as an emerging interrelated research area. This paper provides an overview of big data mining along with the challenges that one has to face with the big data. As the data comes in various different format there are lots of challenges one has to face at the time of mining useful information from this vast amount of data. To overcome the challenges and performing big data mining we have to…show more content…
The heterogeneous features refer to the different types of representations for the same individuals, and the diverse features refer to the variety of the features involved to represent each single observation. The major application areas of Big Data are Google, Flicker, Facebook, and Walmart, of which a large number of server farms are deployed all over the world to ensure nonstop services and quick responses for local markets [1]. The data mining technique is for getting useful and user interested data form this large volume of data. This faces the challenges and to overcome this researches concentrate on algorithm designs in tackling the difficulties raised by the Big Data volumes, distributed data distributions, and by complex and dynamic data characteristics. Big Data is essential to run an organizations. But data is expanding faster than ever and now we are facing big data challenges too: not just large volumes, but data that changes rapidly, comes in more varieties and from more sources. Structured, internal data is increasingly being supplemented by unstructured data like audio, video and sensors, and data from external sources like the internet, social media and third parties [3]. Until recently, it wasn’t possible to interrogate unstructured data, like email and conversations, in conjunction with structured data, such as…show more content…
Definitions 1. Big Data: Big data is a relative term describes as [4] “A situation where the volume, velocity and variety of data exceed an organization’s storage or compute capacity for accurate and timely decision making”. 2. Data Mining: Data mining i.e. sometimes also called data or knowledge discovery from Database (KDD) is the process of analyzing data from different perspectives and summarizing it into useful information. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships we have identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large amount of data. 3. Big Data Mining: Big Data mining involves to extracting useful information from these huge sets of data and streams of data, due to its volume, velocity and variety. III. Some Big Data Mining

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