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5 9 - Raghavan, P., Amer-Yahia, S., Gravano, L., Structure in Text: Extraction and Exploitation, Proceeding of the 7 th international Workshop on the Web and Databases, ACM SIGMOD/PODS, Falinouss, P., Stock trend prediction using news articles: a text mining approach, Journal of computing, vol., No., Hotho, A., Nürnberger, A., Paaß, G. A brief survey of text mining, LDV Forum-GLDV Journal for Computational Linguistics and Language Technology, Vol. 0. No., pp. 9-6, Khan, A., Baharum, B. B., Khan, K., An Overview of E-Documents Classification, Proceedings of International Conference on Machine Learning and Computing, vol., Chagheri, S., Calabretto, S., Roussey, C., Dumoulin, C., Document Classification combining Structure and content, th International Conference on Entreprise Information Systems, pp. -, ACM, De Melo, G., Siersdorfer, S., Multilingual Text Classification using Ontologies, Advances in Information Retreval, Springer Berlin Heidelberg, pp. -, Pazzani, M., Muramatsu, J., Billsus, D., Syskill and Webert: identifying interesting websites, Proc. of the th Amer. Nat. Conf. on Artificial Intelligence (AAAI/IAAI), vol., pp. -6, Twycross, J., Cayzer, S., An immune-based approach to document classification, Information Infrastructure Laboratory HP Laboratories Bristol, HPL-00-9, pp. -6, Sarawagi, S., Kirpal, A, Efficient set joins on similarity predicates, Proceedings of the 00 ACM SIGMOD international conference on Management of data, pp. 7-7, ACM, Arthur, D., Vassilvitskii, S., k-means++: The advantages of careful seeding, Proceedings of the th annual ACM-SIAM symposium on Discrete algorithms, Society for Industrial and Applied Mathematics, pp. 07-0, Onoda, T., Sakai, M., Yamada, S., Careful Seeding Method based on Independent Components Analysis for k-means Clustering, Journal of Emerging Technologies in Web Intelligence, vol.., pp. -9, 0. - Sayeed, A., Sarkar, S., Deng, Y., Characteristics of Document Similarity Measures for Compliance Analysis, Proceedings of the th ACM conference on Information and knowledge management, pp. 07-6, ACM, 009.

6 60 - Huang, A., Similarity measures for text document clustering, Proceedings of the 6 th New Zealand Computer Science Research Student Conference, Christchurch, New Zealand, pp. 9-6, Sandhya, N., Lalitha, Y. S., Govardhan, A., Anuradha, K., Analysis of similarity measures for text clustering, International Journal of Data Engineering, vol., No., Bang, S. L., Yang, J. D., Yang, H. J., Hierarchical document categorization with k-nn and concept-based thesauri, Information processing & managementi, vol., No., pp. 7-06, Bobrowski, L., Topczewska, M., Improving the K-NN Classification with the Euclidean Distance Through Linear Data Transformations, Advances in Data Mining, Springer Berlin Heidelberg, pp. -, Kim, S. B., Han, K. S., Rim, H. C., Myaeng, S. H., Some Effective Techniques for Naive Bayes Text Classification, IEEE Transactions on Knowledge and Data Engineering, vol., No., pp. 7-66, Chai, K. M. A., Ng, H. T., Chieu, H. L., Bayesian Online Classifiers for Text Classification and Filtering, Proceedings of the th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 97-0, ACM, Wang, T. Y., Chiang, H. M., One-against-one fuzzy support vector machine classifier: An approach to text categorization, Expert Systems with Applications, vol. 6, No. 6, pp , Chung, Y. Y., et al., A New Hybrid Audio Classification Algorithm Based on SVM Weight Factor and Euclidean Distance, Proceedings of the 007 annual Conference on International Conference on Computer Engineering and Applications, World Scientific and Engineering Academy and Society, pp. -7, Pilaszy, I., Text Categorization and Support Vector Machines, Proceedings of the 6 th International Symposium of Hungarian Researchers on Computational Intelligence, pp.70-7, Chim, H., Deng, X., Efficient Phrase-Based Document Similarity for Clustering, IEEE Transactions on Knowledge and Data Engineering, vol. 0, No. 9, pp. 7-9, Kent, C. K., Salim, N., Features Based Text Similarity Detection, Journal of Computing, ISSN -967, vol., No., Zhu, F., Yang, J., Zhou, Y., Enriched Format Text Categorization Using A Component Similarity Approach, Journal of Software, vol. 6, No. 9, pp. 7-70, 0.

7 6 - Puri, S., A Fuzzy Similarity Based Concept Mining Model for Text Classification, International Journal of Advanced Computer Science and Applications, Vol., No., Bisson, C. G. G., Using a co-similarity approach on a large scale text categorization task, MARAMI, Lakshmi, P. S., Sushma, V., Manasa, T., Different Similarity Measures for Text Classification Using Knn, IOSR Journal of Computer Engineering, ISSN: 7-066, ISBN: 7-77,vol., No. 6, PP. 0-6, 0. - Strehl, A., Ghosh, J., Mooney, R., Impact of Similarity Measures on Web-page Clustering, Workshop on Artificial Intelligence for Web Search (AAAI 000), pp. - 6, 000.

Journal Title ISSN 5. MIS QUARTERLY BRIEFINGS IN BIOINFORMATICS

Journal Title ISSN 5. MIS QUARTERLY BRIEFINGS IN BIOINFORMATICS List of Journals with impact factors Date retrieved: 1 August 2009 Journal Title ISSN Impact Factor 5-Year Impact Factor 1. ACM SURVEYS 0360-0300 9.920 14.672 2. VLDB JOURNAL 1066-8888 6.800 9.164 3. IEEE