Investigation of Effects of Different Clustering Algorithms for Dissimilar Data Sets in Financial Intelligence Services

Provided by: International Journal of Computer Science and Management Studies (IJCSMS)
Topic: Big Data
Format: PDF
In this paper, the authors investigate various algorithms for small data sets and large data sets in financial intelligence services and secondly discover attributes on the basis of which the most appropriate algorithm is identified. The attributes like time taken to build the model and log likelihood are measured. The more the log likelihood value is and the lesser time taken by an algorithm will be considered better than the other algorithms. The algorithms which have been used are data mining algorithms which are implemented in Weka. Weka tool helps to identify the correctness of the algorithms.

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