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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 6 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
EDBT
2004
ACM
122views Database» more  EDBT 2004»
16 years 6 months ago
Sketch-Based Multi-query Processing over Data Streams
Abstract. Recent years have witnessed an increasing interest in designing algorithms for querying and analyzing streaming data (i.e., data that is seen only once in a fixed order) ...
Alin Dobra, Minos N. Garofalakis, Johannes Gehrke,...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 19 days ago
Support Multi-version Applications in SaaS via Progressive Schema Evolution
— Update of applications in SaaS is expected to be a continuous efforts and cannot be done overnight or over the weekend. In such migration efforts, users are trained and shifted...
Jianfeng Yan, Bo Zhang
CRV
2009
IEEE
115views Robotics» more  CRV 2009»
16 years 18 days ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman
CCGRID
2008
IEEE
16 years 9 days ago
Modeling "Just-in-Time" Communication in Distributed Real-Time Multimedia Applications
—The research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and archives. In re...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...