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Blog Summarization for Blog Mining.

M. Asbagh, M. Sayyadi, and H. Abolhassani. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, volume 209 of Studies in Computational Intelligence, Springer, (2009)

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Dr. -Ing. Hassan Gomaa University of Stuttgart

Asmaa Hassan University of Stuttgart

Hassan Hayeri University of Stuttgart

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Muhammad Khubaib ul Hassan Khan University of Stuttgart

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An Introduction to the Quantitative, Rational and Scientific Process of Software Development (Part 1).Z. Koono, H. Chen, and H. Abolhassani. SoMeT, volume 161 of Frontiers in Artificial Intelligence and Applications, page 361-371. IOS Press, (2007)Semantic Log Based Replication Model for Optimizing Heterogeneous DBMS Interaction.A. Nejad, S. Kharazmi, S. Bayati, S. Golmohammadi, and H. Abolhassani. DBKDA, page 138-142. IEEE Computer Society, (2009)Parallel Online Ranking of Web Pages.Y. Ganjisaffar, K. Esmaili, M. Ghodsi, and H. Abolhassani. AICCSA, page 104-109. IEEE Computer Society, (2006)Towards a Framework for Brokering Semantic Web Services.Y. Ganjisaffar, and H. Abolhassani. I. J. Comput. Appl., 15 (4): 252-262 (2008)Adaptive Weblog Post Filtering Based on User Browsing History.A. Nejad, S. Kharazmi, S. Bayati, H. Abolhassani, and K. Golmohammadi. ICWSM, The AAAI Press, (2009)Web Page Classification Using Social Tags.S. Aliakbary, H. Abolhassani, H. Rahmani, and B. Nobakht. CSE (4), page 588-593. IEEE Computer Society, (2009)Evaluation of Test Collection Construction Methods: A Case Study.K. Esmaili, M. Hosseini, A. Rostami, and H. Abolhassani. IKE, page 16-22. CSREA Press, (2008)A new Structural Similarity Measure for Ontology Alignment.B. Hariri, H. Abolhassani, and A. Khodaei. SWWS, page 36-42. CSREA Press, (2006)Blog Summarization for Blog Mining.M. Asbagh, M. Sayyadi, and H. Abolhassani. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, volume 209 of Studies in Computational Intelligence, Springer, (2009)An approximation algorithm for finding skeletal points for density based clustering approaches.S. Yeganeh, J. Habibi, H. Abolhassani, M. Tehrani, and J. Esmaelnezhad. CIDM, page 403-410. IEEE, (2009)