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KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 10 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
AFRIGRAPH
2004
ACM
14 years 3 months ago
Visualizing 3D scenes using non-linear projections and data mining of previous camera movements
We describe techniques for exploring 3D scenes by combining non-linear projections with the interactive data mining of camera navigations from previous explorations. Our approach ...
Karan Singh, Ravin Balakrishnan
KDD
2000
ACM
211views Data Mining» more  KDD 2000»
14 years 1 months ago
Mining IC test data to optimize VLSI testing
We describe an application of data mining and decision analysis to the problem of die-level functional test in integrated circuit manufacturing. Integrated circuits are fabricated...
Tony Fountain, Thomas G. Dietterich, Bill Sudyka
JIIS
2006
113views more  JIIS 2006»
13 years 10 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
14 years 10 months ago
A microeconomic data mining problem: customer-oriented catalog segmentation
The microeconomic framework for data mining [7] assumes that an enterprise chooses a decision maximizing the overall utility over all customers where the contribution of a custome...
Martin Ester, Rong Ge, Wen Jin, Zengjian Hu