Titlebook: Web Information Systems Engineering -- WISE 2014; 15th International C Boualem Benatallah,Azer Bestavros,Yanchun Zhang Conference proceedin

mosque

Eosinophils

A Community Detection Algorithm Based on the Similarity Sequencelysis, public opinion analysis, etc. However, most existing algorithms detect communities with misclassified nodes and peripheries, and the clustering accuracy is not high. In this paper, in terms of the agglomerative hierarchical clustering, a community detection algorithm based on the similarity s

JAMB

A Community Detection Algorithm Based on the Similarity Sequencelysis, public opinion analysis, etc. However, most existing algorithms detect communities with misclassified nodes and peripheries, and the clustering accuracy is not high. In this paper, in terms of the agglomerative hierarchical clustering, a community detection algorithm based on the similarity s

清楚說話

A Self-learning Clustering Algorithm Based on Clustering Coefficiention convergence are employed for a preliminary clustering. Then, the results are further split and merged according to intra-class and inter-class concentration degree based on clustering coefficient. The proposed method takes correlation between each other in a cluster into account, thereby improvi

Delirium

A Self-learning Clustering Algorithm Based on Clustering Coefficiention convergence are employed for a preliminary clustering. Then, the results are further split and merged according to intra-class and inter-class concentration degree based on clustering coefficient. The proposed method takes correlation between each other in a cluster into account, thereby improvi

BATE

Detecting Hierarchical Structure of Community Members by Link Pattern Expansion Methods. Hierarchy is a common property of networks. Different members have different belonging coefficients to the community, e.g. core members and boundary members, who are at different levels in the hierarchy of community. In this paper, a novel structure is presented, called hierarchical structure of

GIDDY

Detecting Hierarchical Structure of Community Members by Link Pattern Expansion Methods. Hierarchy is a common property of networks. Different members have different belonging coefficients to the community, e.g. core members and boundary members, who are at different levels in the hierarchy of community. In this paper, a novel structure is presented, called hierarchical structure of

苦惱

Rinne-Test

An Effective TF/IDF-Based Text-to-Text Semantic Similarity Measure for Text Classificationsification, which is the main interest of this work, semantics can be involved at different steps of text processing: during indexing step, during training step and during class prediction step. As for class prediction step, new text-to-text semantic similarity measures can replace classical similar

不透明

Automatically Annotating Structured Web Data Using a SVM-Based Multiclass Classifierign labels to data items. For data record extraction, a data section re-segmentation algorithm based on visual and content features is introduced to improve the performance of Web data record extraction. We have implemented the proposed approach and tested it with a large set of Web query result pag