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KDD
2012
ACM
220views Data Mining» more  KDD 2012»
13 years 8 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
WWW
2004
ACM
16 years 6 months ago
Mining anchor text for query refinement
When searching large hypertext document collections, it is often possible that there are too many results available for ambiguous queries. Query refinement is an interactive proce...
Reiner Kraft, Jason Y. Zien
ICDE
2008
IEEE
114views Database» more  ICDE 2008»
16 years 7 months ago
On Unifying Privacy and Uncertain Data Models
The problem of privacy-preserving data mining has been studied extensively in recent years because of the increased amount of personal information which is available to corporation...
Charu C. Aggarwal
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 6 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
CSCW
2000
ACM
15 years 10 months ago
Using Web annotations for asynchronous collaboration around documents
Digital web-accessible annotations are a compelling medium for personal comments and shared discussions around documents. Only recently supported by widely used products, “in-co...
Jonathan J. Cadiz, Anoop Gupta, Jonathan Grudin