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CIKM
2004
Springer
15 years 12 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
DAWAK
2004
Springer
15 years 12 months ago
SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
Kok-Leong Ong, Wenyuan Li, Wee Keong Ng, Ee-Peng L...
ICCS
2004
Springer
15 years 12 months ago
Improvements to Response-Surface Based Vehicle Design Using a Feature-Centric Approach
In this paper, we present our vision for a framework to facilitate computationally-based aerospace vehicle design by improving the quality of the response surfaces that can be deve...
David Thompson, Srinivasan Parthasarathy, Raghu Ma...
ICDCSW
2003
IEEE
15 years 11 months ago
Revealing the Retail Black Box by Interaction Sensing
Today a huge variety of methods to track and analyze the customers’ behavior in e-commerce systems is available. However, in traditional retail stores such systems are not widel...
Christian Decker, Uwe Kubach, Michael Beigl
DAWAK
2003
Springer
15 years 11 months ago
Handling Large Workloads by Profiling and Clustering
View materialization is recognized to be one of the most effective ways to increase the Data Warehouse performance; nevertheless, due to the computational complexity of the techniq...
Matteo Golfarelli