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SIGKDD
2000
237views more  SIGKDD 2000»
14 years 10 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
ANOR
2010
135views more  ANOR 2010»
14 years 11 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
BTW
2005
Springer
113views Database» more  BTW 2005»
15 years 4 months ago
A Learning Optimizer for a Federated Database Management System
: Optimizers in modern DBMSs utilize a cost model to choose an efficient query execution plan (QEP) among all possible ones for a given query. The accuracy of the cost estimates de...
Stephan Ewen, Michael Ortega-Binderberger, Volker ...
CORR
2011
Springer
239views Education» more  CORR 2011»
14 years 6 months ago
From Linked Data to Relevant Data -- Time is the Essence
The Semantic Web initiative puts emphasis not primarily on putting data on the Web, but rather on creating links in a way that both humans and machines can explore the Web of data...
Markus Kirchberg, Ryan K. L. Ko, Bu Sung Lee
SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 3 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...