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KDD
2008
ACM
211views Data Mining» more  KDD 2008»
14 years 6 months ago
ArnetMiner: extraction and mining of academic social networks
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
14 years 6 months ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
13 years 10 months ago
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Behavioral Targeting (BT), which aims to deliver the most appropriate advertisements to the most appropriate users, is attracting much attention in online advertising market. A ke...
Xiaohui Wu, Jun Yan, Ning Liu, Shuicheng Yan, Ying...
MINENET
2005
ACM
13 years 11 months ago
Topographical proximity for mining network alarm data
Increasingly powerful fault management systems are required to ensure robustness and quality of service in today’s networks. In this context, event correlation is of prime impor...
Ann Devitt, Joseph Duffin, Robert Moloney
IADIS
2004
13 years 7 months ago
Simplifying the Clickstream Retrieval Using Weblogger Tool
Data Webhouses are used to retain all the information related to web user's behavior within a web site, working as a shared repository of business data. The advent of e-busin...
João Silva, João Bernardino