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KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 10 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
SIGMOD
2007
ACM
125views Database» more  SIGMOD 2007»
16 years 4 months ago
Optimizing mpf queries: decision support and probabilistic inference
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
Héctor Corrada Bravo, Raghu Ramakrishnan
173
Voted
SIGMOD
2011
ACM
282views Database» more  SIGMOD 2011»
14 years 7 months ago
SkylineSearch: semantic ranking and result visualization for pubmed
Life sciences researchers perform scientific literature search as part of their daily activities. Many such searches are executed against PubMed, a central repository of life sci...
Julia Stoyanovich, Mayur Lodha, William Mee, Kenne...
VLDB
2005
ACM
196views Database» more  VLDB 2005»
15 years 10 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
DEBU
2010
129views more  DEBU 2010»
15 years 1 months ago
Flash in a DBMS: Where and How?
Over the past decade, new solid state storage technologies, with flash being the most mature one, have become increasingly popular. Such technologies store data durably, and can a...
Manos Athanassoulis, Anastasia Ailamaki, Shimin Ch...