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KDD
2005
ACM
147views Data Mining» more  KDD 2005»
14 years 3 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»
14 years 10 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
VLDB
2005
ACM
196views Database» more  VLDB 2005»
14 years 3 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
ICDE
2011
IEEE
281views Database» more  ICDE 2011»
13 years 1 months ago
Declarative analysis of noisy information networks
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Walaa Eldin Moustafa, Galileo Namata, Amol Deshpan...
CGI
1998
IEEE
14 years 2 months ago
An Architecture of a Universal DBMS for Graphics Applications
This paper presents a new architecture of a database management system intended to be used together with existing graphics software. In the first place, a system with this archite...
Andrey Collison, Hanspeter Bieri