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» Approximation Algorithms for Data Placement Problems
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KDD
2005
ACM
80views Data Mining» more  KDD 2005»
14 years 8 months ago
Wavelet synopsis for data streams: minimizing non-euclidean error
We consider the wavelet synopsis construction problem for data streams where given n numbers we wish to estimate the data by constructing a synopsis, whose size, say B is much sma...
Sudipto Guha, Boulos Harb
VLDB
2005
ACM
86views Database» more  VLDB 2005»
14 years 1 months ago
One-Pass Wavelet Synopses for Maximum-Error Metrics
We study the problem of computing waveletbased synopses for massive data sets in static and streaming environments. A compact representation of a data set is obtained after a thre...
Panagiotis Karras, Nikos Mamoulis
EWSN
2004
Springer
14 years 1 months ago
Networked Slepian-Wolf: Theory and Algorithms
Abstract. In this paper, we consider the minimization of a relevant energy consumption related cost function in the context of sensor networks where correlated sources are generate...
Razvan Cristescu, Baltasar Beferull-Lozano, Martin...
RECSYS
2009
ACM
14 years 2 months ago
Recommendations with prerequisites
We consider the problem of recommending the best set of k items when there is an inherent ordering between items, expressed as a set of prerequisites (e.g., the course ‘Real Ana...
Aditya G. Parameswaran, Hector Garcia-Molina
CIKM
2010
Springer
13 years 6 months ago
Evaluating, combining and generalizing recommendations with prerequisites
We consider the problem of recommending the best set of k items when there is an inherent ordering between items, expressed as a set of prerequisites (e.g., the movie ‘Godfather...
Aditya G. Parameswaran, Hector Garcia-Molina, Jeff...