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KDD
2009
ACM
260views Data Mining» more  KDD 2009»
15 years 10 months ago
Enabling analysts in managed services for CRM analytics
Data analytics tools and frameworks abound, yet rapid deployment of analytics solutions that deliver actionable insights from business data remains a challenge. The primary reason...
Indrajit Bhattacharya, Shantanu Godbole, Ajay Gupt...
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 2 months ago
Intelligent file scoring system for malware detection from the gray list
Currently, the most significant line of defense against malware is anti-virus products which focus on authenticating valid software from a white list, blocking invalid software f...
Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 10 months ago
Towards combining web classification and web information extraction: a case study
: ? Towards Combining Web Classification and Web Information Extraction: a Case Study Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi HP Laboratories HPL-2009-86 Classific...
Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongz...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 4 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang