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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 6 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 6 months ago
QoX-driven ETL design: reducing the cost of ETL consulting engagements
As business intelligence becomes increasingly essential for organizations and as it evolves from strategic to operational, the complexity of Extract-Transform-Load (ETL) processes...
Alkis Simitsis, Kevin Wilkinson, Malú Caste...
SIGMOD
2009
ACM
132views Database» more  SIGMOD 2009»
16 years 6 months ago
Taming the storage dragon: the adventures of hoTMaN
HoTMaN (HoT-standby MaNager) is a joint research and development project between MySpace and USC Database Laboratory to design and develop a tool to ensure a 24x7 up-time and ease...
Shahram Ghandeharizadeh, Andrew Goodney, Chetan Sh...
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 6 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
SIGMOD
2007
ACM
136views Database» more  SIGMOD 2007»
16 years 6 months ago
Progressive optimization in a shared-nothing parallel database
Commercial enterprise data warehouses are typically implemented on parallel databases due to the inherent scalability and performance limitation of a serial architecture. Queries ...
Wook-Shin Han, Jack Ng, Volker Markl, Holger Kache...
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