ANWESH: International Journal of Management & Information Technology

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Data Mining from the Big Data


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1 Galgotia University, Greater Noida, Uttar Pradesh, India
     

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We are already in the era of Exa Bytes where data comes with different V's (Volume, Velocity, Variety etc. [12]. Data sources are decentralized and diverse. Data is dynamic and having complex relationships. Existing data mining tools and technologies are not very effective and have some limitations too. Earlier data stored in Warehouses have some schema standard model which leads to effective and efficient information mining. Now, information industry needs to develop a efficient and reliable NoSQL technology that is able to handle the unstructured and dynamic data. This paper summarizes the methodologies that are already developed, and the key challenges and the privacy issues.

Keywords

Mining, Unstructured, IoT, Data Mining, Complex, Heterogeneity.
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  • Data Mining from the Big Data

Abstract Views: 342  |  PDF Views: 0

Authors

Satyajee Srivastava
Galgotia University, Greater Noida, Uttar Pradesh, India

Abstract


We are already in the era of Exa Bytes where data comes with different V's (Volume, Velocity, Variety etc. [12]. Data sources are decentralized and diverse. Data is dynamic and having complex relationships. Existing data mining tools and technologies are not very effective and have some limitations too. Earlier data stored in Warehouses have some schema standard model which leads to effective and efficient information mining. Now, information industry needs to develop a efficient and reliable NoSQL technology that is able to handle the unstructured and dynamic data. This paper summarizes the methodologies that are already developed, and the key challenges and the privacy issues.

Keywords


Mining, Unstructured, IoT, Data Mining, Complex, Heterogeneity.

References