CHALLENGES IN TEXT MINING FOR BUSINESS INTELLIGENCE

Authors

  • Devendra Kumar Mishra Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Madhya Pradesh - 474020, India

DOI:

https://doi.org/10.29121/ijetmr.v5.i2.2018.660

Keywords:

Big Data, Business Intelligence, Machine Learning, Unstructured Data

Abstract

Today is the era of internet; the internet represents a big space where large amounts of data are added every day. This huge amount of digital data and interconnection exploding data. Big Data mining have the capability to retrieving useful information in large datasets or streams of data. Analysis can also be done in a distributed environment. The framework needed for analysis to this large amount of data must support statistical analysis and data mining. The framework should be design in such a way so that big data and traditional data can be combined, so results that come analyzing new data with the old data. Traditional tools are not sufficient to extract information those are unseen.

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References

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Published

2018-02-28

How to Cite

Mishra, D. K. (2018). CHALLENGES IN TEXT MINING FOR BUSINESS INTELLIGENCE. International Journal of Engineering Technologies and Management Research, 5(2), 301–304. https://doi.org/10.29121/ijetmr.v5.i2.2018.660