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» Approximate Selection Queries over Imprecise Data
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SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
16 years 6 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
VLDB
2007
ACM
179views Database» more  VLDB 2007»
16 years 6 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
TOIS
2008
145views more  TOIS 2008»
15 years 6 months ago
Classification-aware hidden-web text database selection
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over multip...
Panagiotis G. Ipeirotis, Luis Gravano
AAAI
2010
15 years 7 months ago
Fast Algorithms for Top-k Approximate String Matching
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Zhenglu Yang, Jianjun Yu, Masaru Kitsuregawa
SSDBM
2003
IEEE
142views Database» more  SSDBM 2003»
15 years 11 months ago
A Strategy Selection Framework for Adaptive Prefetching in Data Visualization
Accessing data stored in persistent memory represents a bottleneck for current visual exploration applications. Semantic caching of frequent queries at the client-side along with ...
Punit R. Doshi, Geraldine E. Rosario, Elke A. Rund...