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» Using Data Mining to Estimate Missing Sensor Data
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EDBT
2008
ACM
125views Database» more  EDBT 2008»
15 years 9 months ago
On the brink: searching for drops in sensor data
Sensor networks have been widely used to collect data about the environment. When analyzing data from these systems, people tend to ask exploratory questions--they want to find su...
Gong Chen, Junghoo Cho, Mark H. Hansen
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
15 years 1 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
BMCBI
2004
113views more  BMCBI 2004»
14 years 9 months ago
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
Alexandre G. de Brevern, Serge A. Hazout, Alain Ma...
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ECRTS
2002
IEEE
15 years 2 months ago
A QoS-Sensitive Approach for Timeliness and Freshness Guarantees in Real-Time Databases
The demand for real-time database services has been increasing recently. Examples include sensor data fusion, decision support, web information services, and online trading. In th...
Kyoung-Don Kang, Sang Hyuk Son, John A. Stankovic,...
ICDM
2009
IEEE
132views Data Mining» more  ICDM 2009»
15 years 4 months ago
Bayesian Overlapping Subspace Clustering
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...
Qiang Fu, Arindam Banerjee