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119
Voted
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
141
Voted
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Safely Delegating Data Mining Tasks
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
Ling Qiu, Kok-Leong Ong, Siu Man Lui
142
Voted
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 7 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
141
Voted
AUSDM
2006
Springer
160views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Extraction of Flat and Nested Data Records from Web Pages
This paper deals with studies the problem of identification and extraction of flat and nested data records from a given web page. With the explosive growth of information sources ...
Siddu P. Algur, P. S. Hiremath
135
Voted
AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
15 years 7 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang