— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
Both semantic and type-based query optimization rely on the idea that queries often exhibit non-trivial rewritings if the state space of the database is restricted. Despite their ...
Michael Meier 0002, Michael Schmidt, Fang Wei, Geo...
We describe an approach to building security services for context-aware environments. Specifically, we focus on the design of security services that incorporate the use of securi...
Michael J. Covington, Prahlad Fogla, Zhiyuan Zhan,...
The Japanese computer industry in 1990s was hit with two major shocks at the same time. One shock was the drastic reform of computers and of network. The other shock was from the ...
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...