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» Mining Multiple Large Databases
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174
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ICDE
2006
IEEE
95views Database» more  ICDE 2006»
16 years 4 months ago
Learning from Aggregate Views
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...
107
Voted
BMCBI
2004
173views more  BMCBI 2004»
15 years 2 months ago
d-matrix - database exploration, visualization and analysis
Background: Motivated by a biomedical database set up by our group, we aimed to develop a generic database front-end with embedded knowledge discovery and analysis features. A maj...
Dominik Seelow, Raffaello Galli, Siegrun Mebus, Ha...
BMCBI
2006
167views more  BMCBI 2006»
15 years 2 months ago
The bovine QTL viewer: a web accessible database of bovine Quantitative Trait Loci
Background: Many important agricultural traits such as weight gain, milk fat content and intramuscular fat (marbling) in cattle are quantitative traits. Most of the information on...
Pavana Polineni, Prathyusha Aragonda, Suresh R. Xa...
137
Voted
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
15 years 9 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han
KDD
2010
ACM
240views Data Mining» more  KDD 2010»
15 years 6 months ago
Diagnosing memory leaks using graph mining on heap dumps
Memory leaks are caused by software programs that prevent the reclamation of memory that is no longer in use. They can cause significant slowdowns, exhaustion of available storag...
Evan K. Maxwell, Godmar Back, Naren Ramakrishnan