A Review: Predictive Analytics with Big Data

Mr. Rizwanahmed B. Mujawar, Dr. Dinesh B. Kulkarni
<span title="2017-03-30">2017</span> <i title="Tejass Publisheers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ezm4lr6uezhi5pfgr6xkdexmgy" style="color: black;">IJARCCE</a> </i> &nbsp;
Businesses and researchers alike take great interests in furthering the use of Predictive Analytics in enhancing Business Intelligence and forecasting ability across a wide range of applications. As data is growing so fast every day, analysis of big data is a big problem for traditional analysis technique. Data generated from various resources is huge in volume and highly unstructured in nature, it is thus important to structure the data and leverage its actual potential. This requires a need
more &raquo; ... r new techniques and frameworks to aid humans in automatically and intelligently analyzing large data sets to acquire useful information. This review paper discusses the overview of the researches done in this area. This paper also gives an insight how big data can be analyzed using predictive analytics method by exploiting the potential of Hadoop/Map-Reduce tool. The benefit of implementing this technique would be that making business orientated decisions in a respective domain of data.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17148/ijarcce.2017.63124">doi:10.17148/ijarcce.2017.63124</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e2oyzsp2r5g6rj6r7k7trdgc5u">fatcat:e2oyzsp2r5g6rj6r7k7trdgc5u</a> </span>
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