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KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 7 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
16 years 8 months ago
Warehousing and Analyzing Massive RFID Data Sets
Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and supply chain management systems. In the near future, it is expected tha...
Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Kla...
COLCOM
2007
IEEE
16 years 1 months ago
Privacy protection on sliding window of data streams
—In many applications, transaction data arrive in the form of high speed data streams. These data contain a lot of information about customers that needs to be carefully managed ...
Weiping Wang 0001, Jianzhong Li, Chunyu Ai, Yingsh...
FGCS
2007
86views more  FGCS 2007»
15 years 6 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 4 months ago
Ontology-based Queries over Cancer Data
The ever-increasing amount of data in biomedical research, and in cancer research in particular, needs to be managed to support efficient data access, exchange and integration. Exi...
Alejandra González Beltrán, Ben Tagg...