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» Data Mining: Machine Learning, Statistics, and Databases
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DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
15 years 2 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
ICDE
1999
IEEE
209views Database» more  ICDE 1999»
16 years 2 months ago
Parallel Classification for Data Mining on Shared-Memory Multiprocessors
We present parallel algorithms for building decision-tree classifiers on shared-memory multiprocessor (SMP) systems. The proposed algorithms span the gamut of data and task parall...
Mohammed Javeed Zaki, Ching-Tien Ho, Rakesh Agrawa...
GFKL
2005
Springer
93views Data Mining» more  GFKL 2005»
15 years 7 months ago
A Hybrid Machine Learning Approach for Information Extraction from Free Text
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Günter Neumann
IJCAI
2007
15 years 2 months ago
Change of Representation for Statistical Relational Learning
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such as that stored in a relational database. We previously introduced view learnin...
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S...
ANOR
2010
135views more  ANOR 2010»
15 years 1 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang