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CHI
1994
ACM
13 years 11 months ago
Using aggregation and dynamic queries for exploring large data sets
When working with large data sets, users perform three primary types of activities: data manipulation, data analysis, and data visualization. The data manipulation process involve...
Jade Goldstein, Steven F. Roth
BMCBI
2004
173views more  BMCBI 2004»
13 years 7 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...
CIKM
2009
Springer
14 years 2 months ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
14 years 7 months ago
Building data mining solutions with OLE DB for DM and XML for analysis
A data mining component is included in Microsoft SQL Server 2000 and SQL Server 2005, one of the most popular DBMSs. This gives a push for data mining technologies to move from a ...
ZhaoHui Tang, Jamie Maclennan, Pyungchul (Peter) K...
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 8 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda