Advances in Computing and Information Technology: by Khalid Raza, Rafat Parveen (auth.), Natarajan Meghanathan,

By Khalid Raza, Rafat Parveen (auth.), Natarajan Meghanathan, Dhinaharan Nagamalai, Nabendu Chaki (eds.)

The foreign convention on Advances in Computing and data know-how (ACITY 2012) offers an exceptional foreign discussion board for either teachers and execs for sharing wisdom and leads to conception, method and functions of machine technology and data expertise. the second one foreign convention on Advances in Computing and data know-how (ACITY 2012), held in Chennai, India, in the course of July 13-15, 2012, lined a couple of issues in all significant fields of laptop technological know-how and data expertise together with: networking and communications, community defense and purposes, net and net computing, ubiquitous computing, algorithms, bioinformatics, electronic picture processing and development acceptance, synthetic intelligence, gentle computing and purposes. Upon a energy evaluation procedure, a few top quality, featuring not just leading edge principles but in addition a based review and a powerful argumentation of a similar, have been chosen and picked up within the current complaints, that's composed of 3 diversified volumes.

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Additional resources for Advances in Computing and Information Technology: Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India - Volume 3

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International Journal of Molecular Sciences 11, 1930–1943 (2010) 5. : The use of Gene Ontology terms for predicting highly-connected “hub” nodes in protein-protein interaction networks. Sapiens 21 6. : Detecting hubs and quasi cliques in scale-free networks. In: 2008 19th International Conference on Pattern Recognition, pp. 1–4 (2008) 7. : Conservation of gene order: a fingerprint of proteins that physically interact. Trends Biochem. Sci. 23, 324–328 (1998) 8. : The use of gene clusters to infer functional coupling.

1–48. : Current approaches to gene regulatory network modeling. BMC Bioinformatics 8 (suppl. : A generic algorithm for layout of biological networks. : Fuzzy logic, neural networks and soft computing. One-page course announcement of CS 294-4. : Bioinformatics with soft computing. IEEE Trans. Systems, Man, and Cybernetics, Part C: Applications and Rev. : Fuzzy logic, neural networks, and soft computing. Comm. : Combination of neuro-fuzzy network models with biological knowledge for reconstructing gene regulatory networks.

IEEE Trans. Knowl. Data Eng. 15, 1–16 (2003) 19. : A positive sample only learn-ing algorithm for finding non-coding RNA genes. Bioinformatics 22, 2590–2596 (2006) 20. : Towards integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering 17(3), 1–12 (2005) 21. : Correlation based feature selection for machine learning. Doctoral dissertation, The University of Waikato, Dept. of Comp. Sci. (1999) 22. : Theoretical and empirical analysis of relief and rreliefF.

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