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» Techniques of Cluster Algorithms in Data Mining
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DATAMINE
2002
147views more  DATAMINE 2002»
15 years 6 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
ICDE
2010
IEEE
290views Database» more  ICDE 2010»
15 years 10 months ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink
KDD
2004
ACM
138views Data Mining» more  KDD 2004»
16 years 7 months ago
IDR/QR: an incremental dimension reduction algorithm via QR decomposition
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
FSKD
2008
Springer
136views Fuzzy Logic» more  FSKD 2008»
15 years 7 months ago
k-Anonymity via Clustering Domain Knowledge for Privacy Preservation
Preservation of privacy in micro-data release is a challenging task in data mining. The k-anonymity method has attracted much attention of researchers. Quasiidentifier is a key co...
Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, She...
WISE
2007
Springer
16 years 24 days ago
Learning Management System Based on SCORM, Agents and Mining
Based on SCORM sequencing and navigation specifications, a learning management system has been developed. The system has intelligent tutoring system capabilities that allow content...
Carlos Cobos, Miguel Niño, Martha Mendoza, ...