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KDD
2009
ACM
245views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
MOBIHOC
2009
ACM
16 years 7 months ago
Secure multidimensional range queries in sensor networks
Most future large-scale sensor networks are expected to follow a two-tier architecture which consists of resource-rich master nodes at the upper tier and resource-poor sensor node...
Rui Zhang, Jing Shi, Yanchao Zhang
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 7 months ago
Cost-effective outbreak detection in networks
Given a water distribution network, where should we place sensors to quickly detect contaminants? Or, which blogs should we read to avoid missing important stories? These seemingl...
Andreas Krause, Carlos Guestrin, Christos Faloutso...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 7 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...