Year |
Citation |
Score |
2020 |
Tshimula JM, Chikhaoui B, Wang S. A new approach for affinity relationship discovery in online forums Social Network Analysis and Mining. 10: 40. DOI: 10.1007/S13278-020-00644-9 |
0.3 |
|
2017 |
Zhang J, Wang S, Chen L, Gallinari P. Multiple Bayesian discriminant functions for high-dimensional massive data classification Data Mining and Knowledge Discovery. 31: 465-501. DOI: 10.1007/S10618-016-0481-Y |
0.312 |
|
2016 |
Chen L, Wang S, Wang K, Zhu J. Soft subspace clustering of categorical data with probabilistic distance Pattern Recognition. 51: 322-332. DOI: 10.1016/J.Patcog.2015.09.027 |
0.395 |
|
2014 |
Xiong T, Wang S, Jiang Q, Huang JZ. A Novel Variable-order Markov Model for Clustering Categorical Sequences Ieee Transactions On Knowledge and Data Engineering. 26: 2339-2353. DOI: 10.1109/Tkde.2013.104 |
0.411 |
|
2013 |
Wu S, Wang S. Information-Theoretic Outlier Detection for Large-Scale Categorical Data Ieee Transactions On Knowledge and Data Engineering. 25: 589-602. DOI: 10.1109/Tkde.2011.261 |
0.336 |
|
2013 |
Xiong T, Wang S, Mayers A, Monga E. Personal bankruptcy prediction by mining credit card data Expert Systems With Applications. 40: 665-676. DOI: 10.1016/J.Eswa.2012.07.072 |
0.306 |
|
2012 |
Wei D, Jiang Q, Wei Y, Wang S. A novel hierarchical clustering algorithm for gene sequences. Bmc Bioinformatics. 13: 174. PMID 22823405 DOI: 10.1186/1471-2105-13-174 |
0.359 |
|
2012 |
Chen L, Jiang Q, Wang S. Model-Based Method for Projective Clustering Ieee Transactions On Knowledge and Data Engineering. 24: 1291-1305. DOI: 10.1109/Tkde.2010.256 |
0.363 |
|
2012 |
Xiong T, Wang S, Mayers A, Monga E. DHCC: Divisive hierarchical clustering of categorical data Data Mining and Knowledge Discovery. 24: 103-135. DOI: 10.1007/S10618-011-0221-2 |
0.41 |
|
2011 |
Lu Y, Wang S, Li S, Zhou C. Particle swarm optimizer for variable weighting in clustering high-dimensional data Machine Learning. 82: 43-70. DOI: 10.1007/S10994-009-5154-2 |
0.368 |
|
2011 |
Sun H, Wang S. Measuring the component overlapping in the Gaussian mixture model Data Mining and Knowledge Discovery. 23: 479-502. DOI: 10.1007/S10618-011-0212-3 |
0.388 |
|
2010 |
Bouguessa M, Wang S, Dumoulin B. Discovering Knowledge-Sharing Communities in Question-Answering Forums Acm Transactions On Knowledge Discovery From Data. 5: 3. DOI: 10.1145/1870096.1870099 |
0.37 |
|
2009 |
Bouguessa M, Wang S. Mining Projected Clusters in High-Dimensional Spaces Ieee Transactions On Knowledge and Data Engineering. 21: 507-522. DOI: 10.1109/Tkde.2008.162 |
0.383 |
|
2009 |
Kelil A, Nordell-Markovits A, Zaralahy POY, Wang S. CLASS: a general approach to classifying categorical sequences Canadian Journal of Electrical and Computer Engineering-Revue Canadienne De Genie Electrique Et Informatique. 34: 158-166. DOI: 10.1109/Cjece.2009.5599423 |
0.342 |
|
2009 |
Kelil A, Wang S, Jiang Q, Brzezinski R. A general measure of similarity for categorical sequences Knowledge and Information Systems. 24: 197-220. DOI: 10.1007/S10115-009-0237-8 |
0.34 |
|
2008 |
Kelil A, Wang S, Brzezinski R. CLUSS2: an alignment-independent algorithm for clustering protein families with multiple biological functions. International Journal of Computational Biology and Drug Design. 1: 122-40. PMID 20058485 DOI: 10.1504/Ijcbdd.2008.020190 |
0.374 |
|
2007 |
Kelil A, Wang S, Brzezinski R, Fleury A. CLUSS: clustering of protein sequences based on a new similarity measure. Bmc Bioinformatics. 8: 286. PMID 17683581 DOI: 10.1186/1471-2105-8-286 |
0.383 |
|
2007 |
Lu J, Wang J, Wang S. Xml Schema Matching International Journal of Software Engineering and Knowledge Engineering. 17: 575-597. DOI: 10.1142/S0218194007003446 |
0.328 |
|
2006 |
Bouguessa M, Wang S, Sun H. An objective approach to cluster validation Pattern Recognition Letters. 27: 1419-1430. DOI: 10.1016/J.Patrec.2006.01.015 |
0.372 |
|
2004 |
Sun H, Wang S, Jiang Q. FCM-Based Model Selection Algorithms for Determining the Number of Clusters Pattern Recognition. 37: 2027-2037. DOI: 10.1016/J.Patcog.2004.03.012 |
0.393 |
|
2003 |
Romdhane LB, Ayeb B, Wang S. A Distributed Artificial Network Solving Complex and Multiple Causal Associations Applied Intelligence. 19: 189-207. DOI: 10.1023/A:1026010008129 |
0.311 |
|
2003 |
Hlaoui A, Wang S. A new median graph algorithm Lecture Notes in Computer Science. 225-234. DOI: 10.1007/3-540-45028-9_20 |
0.309 |
|
2002 |
Romdhane LB, Ayeb Be, Wang S. On Computing The Fuzzifier In ↓Flvq: A Data Driven Approach International Journal of Neural Systems. 12: 149-157. DOI: 10.1016/S0129-0657(02)00106-0 |
0.371 |
|
2002 |
Hlaoui A, Wang S. A New Algorithm for Graph Matching with Application to Content-Based Image Retrieval Lecture Notes in Computer Science. 291-300. DOI: 10.1007/3-540-70659-3_30 |
0.339 |
|
2001 |
Romdhane LB, Ayeb B, Wang S. An artificial network simulating cause-to-effect reasoning: cancellation interactions and numerical studies Knowledge and Information Systems. 3: 96-119. DOI: 10.1007/Pl00011661 |
0.312 |
|
1998 |
Rollet R, Benie GB, Li W, Wang S, Boucher J-. Image classification algorithm based on the RBF neural network and K-means International Journal of Remote Sensing. 19: 3003-3009. DOI: 10.1080/014311698214398 |
0.31 |
|
1996 |
Ayeb BE, Wang S. An Effective Algorithm For Incompatibility Abduction Problems International Journal On Artificial Intelligence Tools. 5: 5-21. DOI: 10.1142/S021821309600002X |
0.317 |
|
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