位置：成果数据库 > 会议 > 会议详情页
On selection of objective functions in multi-objective community detection
  • 所属机构名称：北京邮电大学
  • 会议名称：20th ACM Conference on Information and Knowledge Management, CIKM';11
  • 时间：2011
  • 成果类型：会议
  • 相关项目：基于电信数据分析的群体客户关系管理关键技术研究
作者： Shi, Chuan1|Yu, Philip S.2|Cai, Yanan1|Yan, Zhenyu3|Wu, Bin1|
同会议论文项目
基于电信数据分析的群体客户关系管理关键技术研究
期刊论文 22 会议论文 28 专利 1 著作 1
同项目会议论文
TeleDatA: Data mining, social network analysis and statistics analysis system based on cloud computi
A parallel graph partitioning algorithm to speed up the large-scale distributed graph mining
A multi-source message passing model to improve the parallelism efficiency of graph mining on MapRed
HMGraph OLAP: A novel framework for multi-dimensional heterogeneous network analysis
Saurida: Cloud computing based: Data mining system in telecommunication industry
Multi-objective decisionmaking in the detection of comprehensive community structures
Link prediction based on local information
Map/Reduce in CBIR application
Random walk based resource allocation: Predicting and recommending links in cross-operator mobile co
A description algorithm for community structure
Design and implementation of parallel statiatical algorithm based on Hadoop';s MapReduce model
Design and implementation of business-driven BI platform based on cloud computing
A new algorithm based on centroid for text categorization
HeteRecom: A semantic-based recommendation systemin heterogeneous networks
Integrating Clustering and Ranking on Hybrid Heterogeneous
BC-PDM: Data mining, social network analysis and text mining system based on cloud computing
Efficient search in networks using conductance
A complementary method to determine semantic orientations of words based on WordNet
Relevance search in heterogeneous networks
How long will she call me? Distribution, social theory and duration prediction
Predicting missing links via local feature of common neighbors
SAKU: A distributed system for data analysis in large-scale dataset based on cloud computing
KANGAROO: A distributed system for SNA: Social network analysis in huge-scale networks
A parallel computing model for large-graph mining with MapReduce
Detecting link communities in massive networks
Event detection and evolution based on entity separation
Detecting Probabilistic Community with Topic Modeling on Sampling SubGraphs