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ICPP
2006
IEEE
16 years 22 days ago
Data Sharing Pattern Aware Scheduling on Grids
These days an increasing number of applications, especially in science and engineering, are dealing with a massive amount of data; hence they are dataintensive. Bioinformatics, da...
Young Choon Lee, Albert Y. Zomaya
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 7 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
KDD
2010
ACM
228views Data Mining» more  KDD 2010»
15 years 10 months ago
The new iris data: modular data generators
In this paper we introduce a modular, highly flexible, opensource environment for data generation. Using an existing graphical data flow tool, the user can combine various types...
Iris Adä, Michael R. Berthold
PRL
2002
67views more  PRL 2002»
15 years 6 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu
SIGMOD
2010
ACM
321views Database» more  SIGMOD 2010»
15 years 11 months ago
HadoopDB in action: building real world applications
HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work ha...
Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Hua...