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KDD
2009
ACM
164views Data Mining» more  KDD 2009»
16 years 11 days ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 6 days ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
15 years 12 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...
SIGMOD
2007
ACM
120views Database» more  SIGMOD 2007»
15 years 12 months ago
Xpath on steroids: exploiting relational engines for xpath performance
A lot of research has been conducted by the database community on methods and techniques for efficient XPath processing, with great success. Despite the progress made, significant...
Haris Georgiadis, Vasilis Vassalos
SIGMOD
2007
ACM
165views Database» more  SIGMOD 2007»
15 years 12 months ago
Sharing aggregate computation for distributed queries
An emerging challenge in modern distributed querying is to efficiently process multiple continuous aggregation queries simultaneously. Processing each query independently may be i...
Ryan Huebsch, Minos N. Garofalakis, Joseph M. Hell...