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Knowledge Based Systems, Volume 124
Volume 124, May 2017
- Chunlin Li, Yanpei Liu, Youlong Luo, Zhou Min:
Collaborative content dissemination based on game theory in multimedia cloud. 1-15 - Orestes Appel, Francisco Chiclana, Jenny Carter, Hamido Fujita:
Cross-ratio uninorms as an effective aggregation mechanism in sentiment analysis. 16-22 - Jianwei Zhao, Heping Hu, Feilong Cao:
Image super-resolution via adaptive sparse representation. 23-33 - Lin Gui, Yu Zhou, Ruifeng Xu, Yulan He, Qin Lu:
Learning representations from heterogeneous network for sentiment classification of product reviews. 34-45 - Gai Li, Zhiqiang Zhang, Liyang Wang, Qiang Chen, Jincai Pan:
One-class collaborative filtering based on rating prediction and ranking prediction. 46-54 - Jerzy Grobelny, Rafal Michalski:
A novel version of simulated annealing based on linguistic patterns for solving facility layout problems. 55-69 - Shiping Wang, Han Wang:
Unsupervised feature selection via low-rank approximation and structure learning. 70-79 - Guoliang He, Yifei Li, Wen Zhao:
An uncertainty and density based active semi-supervised learning scheme for positive unlabeled multivariate time series classification. 80-92 - Anthony C. Constantinou, Norman E. Fenton:
Towards smart-data: Improving predictive accuracy in long-term football team performance. 93-104 - Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Designing rule-based fuzzy systems for classification in medicine. 105-132 - Xingchen Hu, Witold Pedrycz, Xianmin Wang:
From fuzzy rule-based models to their granular generalizations. 133-143 - Giampiero Chiaselotti, Tommaso Gentile, Federico Infusino:
Knowledge pairing systems in granular computing. 144-163 - Houkui Zhou, Huimin Yu, Roland Hu, Junguo Hu:
A survey on trends of cross-media topic evolution map. 164-175 - Hongquan Jiang, Rongxi Wang, Jianmin Gao, Zhiyong Gao, Xu Gao:
Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry. 176-187 - Unil Yun, Heungmo Ryang, Gangin Lee, Hamido Fujita:
An efficient algorithm for mining high utility patterns from incremental databases with one database scan. 188-206
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