Data Mining for Business Decisions: A Literature Review

Exploring the Use of Big Data and Intelligent Analytics for Business Decisions

Authors

  • Parag Chandra Dutta

Keywords:

data mining, business decisions, literature review, big data, opportunity, challenge, researchers, progress, capability, process, store, analyze, computing, intelligent data analytics techniques, artificial intelligence, machine learning, unstructured data, valuable actionable knowledge, useful knowledge, insights

Abstract

The presence of “big data”, or this massive amount of increasing data, offers both an opportunity as well as a challenge to researchers. A lot of progress has been made in developing the capability to process, store, and analyze big data In addition to the big data computing capability (in terms of processing and storing big data in a distributed fashion on a cluster of computers), the rapid advances in using intelligent data analytics techniques—drawn from the emerging areas of artificial intelligence (AI) and machine learning (ML)—provide the ability to process massive amounts of diverse unstructured data that is now being generated daily to extract valuable actionable knowledge. This provides a great opportunity to researchers to use this data for developing useful knowledge and insights.

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Published

2018-06-02

How to Cite

[1]
“Data Mining for Business Decisions: A Literature Review: Exploring the Use of Big Data and Intelligent Analytics for Business Decisions”, JASRAE, vol. 15, no. 4, pp. 382–387, Jun. 2018, Accessed: Nov. 22, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/8239

How to Cite

[1]
“Data Mining for Business Decisions: A Literature Review: Exploring the Use of Big Data and Intelligent Analytics for Business Decisions”, JASRAE, vol. 15, no. 4, pp. 382–387, Jun. 2018, Accessed: Nov. 22, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/8239