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216
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SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
16 years 2 months ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
143
Voted
SIGMOD
2004
ACM
166views Database» more  SIGMOD 2004»
16 years 2 months ago
Fast Computation of Database Operations using Graphics Processors
We present new algorithms on commodity graphics processors to perform fast computation of several common database operations. Specifically, we consider operations such as conjunct...
Naga K. Govindaraju, Brandon Lloyd, Wei Wang 0010,...
119
Voted
EDBT
2008
ACM
135views Database» more  EDBT 2008»
16 years 2 months ago
Minimizing latency and memory in DSMS: a unified approach to quasi-optimal scheduling
Data Stream Management Systems (DSMSs) must support optimized execution scheduling of multiple continuous queries on massive, and frequently bursty, data streams. Previous approac...
Yijian Bai, Carlo Zaniolo
103
Voted
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
15 years 9 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken
102
Voted
ICDE
2010
IEEE
255views Database» more  ICDE 2010»
15 years 9 months ago
On supporting effective web extraction
— Commercial tuple extraction systems have enjoyed some success to extract tuples by regarding HTML pages as tree structures and exploiting XPath queries to find attributes of t...
Wook-Shin Han, Wooseong Kwak, Hwanjo Yu