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» Analyzing Harmonic Monitoring Data Using Data Mining
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IEAAIE
2005
Springer
14 years 4 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
ISCAS
1995
IEEE
83views Hardware» more  ISCAS 1995»
14 years 2 months ago
Calculating Distortion Levels in Sampled-Data Circuits Using SPICE
This paper presents an analysis technique that can be used to compute the harmonic and intermodulation distortion levels of a sampled-data circuit directly from a SPICE transient ...
Gordon W. Roberts
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
14 years 4 months ago
Analyzing High-Dimensional Data by Subspace Validity
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, D...
KDD
2008
ACM
274views Data Mining» more  KDD 2008»
14 years 11 months ago
Data mining using high performance data clouds: experimental studies using sector and sphere
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...
Robert L. Grossman, Yunhong Gu
INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
14 years 2 months ago
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
Jonas Poelmans, Guido Dedene, Gerda Verheyden, Her...