A vector space model for automatic indexing
Communications of the ACM
Data mining: concepts and techniques by Jiawei Han and Micheline Kamber
ACM SIGMOD Record
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Crime Pattern Detection Using Data Mining
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Web Page Classification Based on a Least Square Support Vector Machine with Latent Semantic Analysis
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
Using Web Clustering for Web Communities Mining and Analysis
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Blog Community Discovery Based on Tag Data Clustering
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 02
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Clustering with a genetically optimized approach
IEEE Transactions on Evolutionary Computation
Survey of clustering algorithms
IEEE Transactions on Neural Networks
Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Hi-index | 0.00 |
Numerical schemes research on clustering model has been quite intensive in the past decade. The difficulties associated with curse of dimensionality and cost functions to reflect the general knowledge about internal structures and distributions of target data. Traditional computational clustering and variables selection schemes are struggling to estimate at high level of accuracy for this type of problem. Hence, in the present study, a novel semantic-based scheme was proposed to enhance the clustering accuracy. The results show that our conceptual model is automatic and optimal. Good comparisons with the experimental studies demonstrate the multidisciplinary applications of our approach.