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» Systems Support for Scalable Data Mining
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PODS
2009
ACM
134views Database» more  PODS 2009»
15 years 10 months ago
An efficient rigorous approach for identifying statistically significant frequent itemsets
As advances in technology allow for the collection, storage, and analysis of vast amounts of data, the task of screening and assessing the significance of discovered patterns is b...
Adam Kirsch, Michael Mitzenmacher, Andrea Pietraca...
ICSE
2005
IEEE-ACM
15 years 10 months ago
Safe query objects: statically typed objects as remotely executable queries
When building scalable systems that involve general-purpose computation and persistent data, object-oriented languages and relational databases are often essential components. Yet...
William R. Cook, Siddhartha Rai
ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
15 years 4 months ago
Failure Prediction in IBM BlueGene/L Event Logs
Frequent failures are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in size and compl...
Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...
KDD
1994
ACM
115views Data Mining» more  KDD 1994»
15 years 2 months ago
Extracting Domain Semantics for Knowledge Discovery in Relational Databases
Our research investigates howdomainsemantics are discovered froma relational database at a high level of automation. Thediscoveries are then represented as the extendedEntityRelat...
Roger H. L. Chiang, Terence M. Barron, Veda C. Sto...
IADIS
2008
14 years 11 months ago
Customer Insights from Transactional Database: Database Marketing Case
Marketing databases are currently one of the most important resources in any marketing departments. Regarding their customer knowledge needs many of them had develop their own dat...
Filipe Mota Pinto, Alzira Ascensão Marques,...