Search Results - "2008 IEEE International Conference on Granular Computing"

Granular computing: Past, present and future by Yiyu Yao

“…Granular computing is gradually changing from a label to a new field of study. The driving forces, the major schools of thought, and the future research…”
Get full text

A decomposition-based multi-objective Particle Swarm Optimization algorithm for continuous optimization problems by Wei Peng, Qingfu Zhang

“…Particle swarm optimization (PSO) is a heuristic optimization technique that uses previous personal best experience and global best experience to search global…”
Get full text

A novel unsupervised feature selection method for bioinformatics data sets through feature clustering by Guangrong Li, Xiaohua Hu, Xiajiong Shen, Xin Chen, Zhoujun Li

“…Many feature selection methods have been proposed and most of them are in the supervised learning paradigm. Recently unsupervised feature selection has…”
Get full text

An improved particle swarm optimization algorithm by Lin Lu, Qi Luo, Jun-yong Liu, Chuan Long

“…A hierarchical structure poly-particle swarm optimization (HSPPSO) approach using the hierarchical structure concept of control theory is presented. In the…”
Get full text

Recent developments in granular computing: A bibliometrics study by JingTao Yao

“…This is a follow-up of the paper ldquoA ten-year review of granular computingrdquo published in 2007. We continue to examine the most influential papers in…”
Get full text

A fast and elitist multi-objective particle swarm algorithm: NSPSO by Yang Liu

“…In this paper, a new nondominated sorting particle swarm optimisation (NSPSO), is proposed, that combines the operations (fast ranking of non-dominated…”
Get full text

A hypergraph model of granular computing by Guang Chen, Ning Zhong, Yiyu Yao

“…A hypergraph model of granular computing is proposed. In this model, a vertex refers to an object, a hyperedge corresponds to a granule, a hypergraph relates…”
Get full text

Multi-objective evolutionary algorithm for mining 3D clusters in gene-sample-time microarray data by Junwan Liu, Zhoujun Li, Xiaohua Hu, Yiming Chen

“…Latest microarray technique can measure the expression levels of a set of genes under a set of samples during a series of time points, and generates new…”
Get full text

A weighted load-balancing parallel Apriori algorithm for association rule mining by Kun-Ming Yu, Jia-Ling Zhou

“…Because of the exponential growth in worldwide information, companies have to deal with an ever growing amount of digital information. One of the most…”
Get full text

Convergence of ant colony optimization on first-order deceptive systems by Yixin Chen, Haiying Sun

“…Deceptive problems have been considered difficult for ant colony optimization (ACO) and it was believed that ACO will fail to converge to global optima of…”
Get full text

Towards efficient privacy-preserving collaborative recommender systems by Justin Zhan, I-Cheng Wang, Chia-Lung Hsieh, Tsan-Sheng Hsu, Churn-Jung Liau, Da-Wei Wang

“…Recommender systems use various types of information to help customers find products of personalized interest. To increase the usefulness of recommender…”
Get full text

The sixth type of covering-based rough sets by Jiao Liu, Zuhua Liao

“…Rough sets, a tool for data mining, deal with the vagueness and granularity in information systems. For further studies on privacy protection, we study a new…”
Get full text

A multi-objective genetic-fuzzy mining algorithm by Chun-Hao Chen, Tzung-Pei Hong, Tseng, V.S., Lien-Chin Chen

“…In this paper, we propose a multi-objective genetic-fuzzy mining algorithm for extracting both membership functions and association rules from quantitative…”
Get full text

License plate recognition system based on morphology and LS-SVM by Haiyan Zhao, Chuyi Song, Haili Zhao, Shizheng Zhang

“…This paper studies on license plate recognition (LPR) system based on morphology and least squares support vector machines (LS-SVM). LPR is one of the most…”
Get full text

Fuzzy entropy based Max-Relevancy and Min-Redundancy feature selection by Shuang An, Qinghua Hu, Daren Yu

“…Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has…”
Get full text

Semi-supervised learning by disagreement by Zhi-Hua Zhou

“…In real-world applications, assigning labels to examples usually requires human effort and therefore, labeled training examples are expensive; unlabeled…”
Get full text

ROUGE-C: A fully automated evaluation method for multi-document summarization by Tingting He, Jinguang Chen, Liang Ma, Zhuoming Gui, Fang Li, Wei Shao, Qian Wang

“…This paper presents how to use ROUGE to evaluate summaries without human reference summaries. ROUGE is a widely used evaluation tool for multi-document…”
Get full text

Attribute reduction of multi-valued information system based on conditional information entropy by Shen Qing, Jiang Yun-Liang

“…In this paper, the concepts of information entropy and conditional information entropy in multi-valued information system are proposed from the viewpoint of…”
Get full text

SenMinCom: Pervasive distributed dynamic sensor data mining for effective commerce by Hiremath, N., Yan-Qing Zhang

“…In last few years, the use of wireless sensor networks and cell phones has become ubiquitous; fusing these technologies in the field of business will open up…”
Get full text

The SVM optimized by culture genetic algorithm and its application in forecasting share price by Jianguo Zhou, Tao Bai, Chao Suo

“…In the analysis of predicting share price based on Support Vector Machine (SVM), the parameters of SVM, c and sigma, which its value have important effect on…”
Get full text