An approach of Clustering and analysis of Unstructured Data

International Journal of Computer Science and Engineering

© 2019 by SSRG - IJCSE Journal

Volume 6 Issue 11

Year of Publication : 2019

Authors : Gunisetti Tirupathi Rao, Dr. Rajendra Gupta

10.14445/23488387/IJCSE-V6I11P114

How to Cite?

Gunisetti Tirupathi Rao, Dr. Rajendra Gupta, "An approach of Clustering and analysis of Unstructured Data," SSRG International Journal of Computer Science and Engineering , vol. 6,  no. 11, pp. 64-69, 2019. Crossref, https://doi.org/10.14445/23488387/IJCSE-V6I11P114

Abstract:

Unstructured dataset is a kind of information which is not pre-defined and it is organized in improper manner, dataset contains different data like email, chat, images, video, xml, links etc. It is very complextask to search words in unstructured dataset.To get particular piece of information/search a pair from dataset, there arefour approaches are applied viz. First, Pre-process the dataset, using TPMRFC and assign weight using DTM, Second, Re-calculate the error and update the weights of matrix(DTM), third,Cluster the each term according to its weight using Self Organization Map,lastly, Using Least Frequently Used (LFU) with Dynamic Aging (LFUDA) method by which the pair of words is more frequently used to place in Cache. For testing the proposed scheme PROLOG unstructured dataset is used and results are achieved in terms of accuracy.

Keywords:

Unstructured data, Text Pattern Mining, Cluster, Self-Organized Map

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