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ICDE
2010
IEEE
188views Database» more  ICDE 2010»
14 years 4 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
14 years 6 months ago
Reasoning About Approximate Match Query Results
Join techniques deploying approximate match predicates are fundamental data cleaning operations. A variety of predicates have been utilized to quantify approximate match in such o...
Sudipto Guha, Nick Koudas, Divesh Srivastava, Xiao...
IJCAI
2003
13 years 6 months ago
Reasoning about soft constraints and conditional preferences: complexity results and approximation techniques
Many real life optimization problems contain both hard and soft constraints, as well as qualitative conditional preferences. However, there is no single formalism to specify all t...
Carmel Domshlak, Francesca Rossi, Kristen Brent Ve...
RSCTC
2004
Springer
144views Fuzzy Logic» more  RSCTC 2004»
13 years 10 months ago
Approximation Spaces and Information Granulation
Abstract. In this paper, we discuss approximation spaces in a granular computing framework. Such approximation spaces generalise the approaches to concept approximation existing in...
Andrzej Skowron, Roman W. Swiniarski, Piotr Synak
ICDT
2009
ACM
148views Database» more  ICDT 2009»
14 years 5 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha