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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 7 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
217
Voted
PODS
2006
ACM
122views Database» more  PODS 2006»
16 years 7 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
MIRAGE
2007
Springer
16 years 1 months ago
Fitting Subdivision Surface Models to Noisy and Incomplete 3-D Data
Abstract. We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regi...
Spela Ivekovic, Emanuele Trucco
GCC
2005
Springer
16 years 25 days ago
Incorporating Data Movement into Grid Task Scheduling
Task Scheduling is a critical design issue of distributed computing. The emerging Grid computing infrastructure consists of heterogeneous resources in widely distributed autonomous...
Xiaoshan He, Xian-He Sun
HICSS
2003
IEEE
107views Biometrics» more  HICSS 2003»
16 years 18 days ago
The Customer-Centric Data Warehouse - An Architectural Approach to Meet the Challenges of Customer Orientation
This paper presents research-in-progress. An extensive customer-centric data warehouse architecture should enable both complex analytical queries as well as standard reporting que...
Hans-Georg Kemper, Phil-Lip Lee