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» Mining Knowledge in Astrophysical Massive Data Sets
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ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 4 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
16 years 4 days ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
15 years 11 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
BMCBI
2007
114views more  BMCBI 2007»
15 years 6 months ago
Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks
Background: Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As ...
Xiaohua Hu, Fang-Xiang Wu
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last