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By knowing the enemy better, security researchers and industry can more effectively stop the interconnected manifestations of Internet threats: identity theft, the creation of botnets, and DoS attacks. Educational impacts include developing a new course, providing publicly available educational material, and open-source software. Data mining, web-based malware dissemination, graph mining.

Proceedings of the Sixth SIAM International Conference on Data Mining - Google Books

The following professors are co-PIs on this project:. The following graduate students and postdocs have worked on the project:. Selected Papers:. Selected tutorials with co-PIs:. Selected invited talks at conferences and workshops:.

Bhavana Dalvi Mishra

All other papers, talks, tutorial slides, and other resources are available here. Last updated September 1, by Tina Eliassi-Rad. Keywords Data mining, web-based malware dissemination, graph mining. Chen Chen , Hanghang Tong, B. It mainly works with numeric data, text data and the web data. Text-based algorithms have problems when dealing with different languages synonyms, homonyms. Also, web pages contain other forms of information except text, such as images or multimedia.

As a consequence, hybrid document clustering approaches have been proposed in order to combine the advantages and limit the disadvantages of the existing approaches. The main motivation behind ontology is that different people have different needs with regard to the clustering of texts. The hybrid schemes are developed using ontology and the frequent item clustering of various algorithms Ontology Based Apriori Based Clustering, Ontology based FP-Growth Based Clustering, Ontology based FP-Bonsai Clustering Algorithm have been proposed to resolve the disadvantages of existing approaches.

The performance of this enhanced document clustering algorithm was tested vigorously using different datasets with performance measures to show the efficiency in clustering. The result shows that the datasets namely Reuters ,20 new Group and TDT2 which results the accuracy 0. How to cite this article: S. Parthasarathy, and K. Mehta, and S. Asur, U. Catalyurek, and S.

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Paper (pp. 46-54) Presentation at SIAM Data Mining 2018

Parthasarathy, and S. Otey, A. Jin, C. Wang, D. Polshakov, S. Parthasarathy, and G. Parthasarathy, and H. Javaid and S. Polshakov, K. Tatikonda, G. Buehrer, T.

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Wang, A. Barr, A. Choy, H. Parthasarathy, R. Machiraju, and J. Barry, T. Choyy, H. Schwartz, Y. Fang, and S. Twa, S. Parthasarathy, C. Roberts, A. Mahmoud, and M. Veloso, and W. Meira, Jr. Ghoting, M. Parthasarathy and H. Li, K. Yang, K. Mehta, K. Hazzard, R. Machiraju, S. Parthasarathy and J. Wang, H. Li and D. Malo, France, June A. Coatney and S.

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SIAM International Conference on Data Mining

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