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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 6 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
SIGMOD
2001
ACM
147views Database» more  SIGMOD 2001»
16 years 6 months ago
Optimizing Queries Using Materialized Views: A practical, scalable solution
Materialized views can provide massive improvements in query processing time, especially for aggregation queries over large tables. To realize this potential, the query optimizer ...
Jonathan Goldstein, Per-Åke Larson
PODS
2001
ACM
167views Database» more  PODS 2001»
16 years 6 months ago
Querying Websites Using Compact Skeletons
Several commercial applications, such as online comparison shopping and process automation, require integrating information that is scattered across multiple websites or XML docum...
Anand Rajaraman, Jeffrey D. Ullman
PODS
2005
ACM
131views Database» more  PODS 2005»
16 years 6 months ago
Space efficient mining of multigraph streams
The challenge of monitoring massive amounts of data generated by communication networks has led to the interest in data stream processing. We study streams of edges in massive com...
Graham Cormode, S. Muthukrishnan
EDBT
2006
ACM
112views Database» more  EDBT 2006»
16 years 6 months ago
Indexing Shared Content in Information Retrieval Systems
Abstract. Modern document collections often contain groups of documents with overlapping or shared content. However, most information retrieval systems process each document separa...
Andrei Z. Broder, Nadav Eiron, Marcus Fontoura, Mi...
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