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JUCS
2010
164views more  JUCS 2010»
14 years 8 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung
ICDCS
2007
IEEE
15 years 4 months ago
Distributed Resource Management and Admission Control of Stream Processing Systems with Max Utility
A fundamental problem in a large scale decentralized stream processing system is how to best utilize the available resources and admission control the bursty and high volume input...
Cathy H. Xia, Donald F. Towsley, Chun Zhang
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 3 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
15 years 11 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 3 months ago
Discovering Frequent Arrangements of Temporal Intervals
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...