Mining

Advanced Data Mining and Applications: 9th International by Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang (auth.),

By Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang (auth.), Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang (eds.)

The two-volume set LNAI 8346 and 8347 constitutes the completely refereed court cases of the ninth foreign convention on complicated info Mining and purposes, ADMA 2013, held in Hangzhou, China, in December 2013.
The 32 standard papers and sixty four brief papers provided in those volumes have been conscientiously reviewed and chosen from 222 submissions. The papers incorporated in those volumes disguise the subsequent subject matters: opinion mining, habit mining, facts circulation mining, sequential facts mining, net mining, snapshot mining, textual content mining, social community mining, type, clustering, organization rule mining, development mining, regression, predication, characteristic extraction, id, privateness protection, functions, and laptop learning.

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Additional resources for Advanced Data Mining and Applications: 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II

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Functional relevance learning in generalized learning vector quantization. Neurocomputing 90, 85–95 (2012) 13. : Random projection trees for vector quantization. IEEE Transactions on Information Theory 55(7), 3229–3242 (2009) 14. : Fast Graph-Based Relaxed Clustering for Large Data Sets Using Minimal Enclosing Ball. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 42(3), 672–687 (2012) 15. : Enhanced soft subspace clustering integrating within-cluster and between-cluster information.

On spectral clustering: analysis and an algorithm. , Ghahramani, Z. ) Proceedings of the Advances in Neural Information Processing Systems, pp. 849–856. MIT Press, Cambridge (2002) A Fast Spectral Clustering Method Based on Growing Vector Quantization 33 3. : A new vector quantization clustering algorithm. IEEE Transactions on Acoustics, Speech and Signal Processing 37(10), 1568–1575 (1989) 4. : A review of vector quantization techniques. IEEE Potentials 25(4), 39–47 (2006) 5. : Rcv1: A new benchmark collection for text categorization research.

In: Proceedings of the ACL 2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment, vol. 18, pp. 89–96 (2003) 22. : Clustering ensembles using genetic algorithm. In: Proceedings of the International Workshop on Computer Architecture for Machine Perception and Sensing, pp. 119–123. IEEE (2007) 23. : Integration analysis of diverse genomic data using multi-clustering results. , Brause, R. ) ISBMDA 2006. LNCS (LNBI), vol. 4345, pp. 37–48. Springer, Heidelberg (2006) 24. : Recursive self-organizing maps with hybrid clustering.

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