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» An Overview of Database Mining Techniques
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SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 9 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
GIS
2010
ACM
13 years 6 months ago
Automatic construction and multi-level visualization of semantic trajectories
With the prevalence of GPS-embedded mobile devices, enormous amounts of mobility data are being collected in the form of trajectory - a stream of (x,y,t) points. Such trajectories...
Zhixian Yan, Lazar Spremic, Dipanjan Chakraborty, ...
DEXA
2007
Springer
154views Database» more  DEXA 2007»
14 years 2 months ago
Performance Oriented Schema Matching
Abstract. Semantic matching of schemas in heterogeneous data sharing systems is time consuming and error prone. Existing mapping tools employ semi-automatic techniques for mapping ...
Khalid Saleem, Zohra Bellahsene, Ela Hunt
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
15 years 8 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang
ICDE
2008
IEEE
203views Database» more  ICDE 2008»
14 years 9 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han