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» Using Data Mining to Estimate Missing Sensor Data
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EDBT
2008
ACM
125views Database» more  EDBT 2008»
16 years 6 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 10 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»
15 years 6 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...
ECRTS
2002
IEEE
15 years 11 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»
16 years 1 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