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AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Mining Quantitative Association Rules in Protein Sequences
Abstract. Lot of research has gone into understanding the composition and nature of proteins, still many things remain to be understood satisfactorily. It is now generally believed...
Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra M...
AUSDM
2006
Springer
97views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Tracking the Changes of Dynamic Web Pages in the Existence of URL Rewriting
Crawlers in a knowledge management system need to collect and archive documents from websites, and also track the change status of these documents. However, the existence of URL r...
Ping-Jer Yeh, Jie-Tsung Li, Shyan-Ming Yuan
AUSDM
2006
Springer
103views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Data Mining For Lifetime Prediction of Metallic Components
The ability to accurately predict the lifetime of building components is crucial to optimizing building design, material selection and scheduling of required maintenance. This pap...
Esther Ge, Richi Nayak, Yue Xu, Yuefeng Li
AUSDM
2006
Springer
91views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Towards Automated Record Linkage
The field of Record Linkage is concerned with identifying records from one or more datasets which refer to the same underlying entities. Where entity-unique identifiers are not av...
Karl Goiser, Peter Christen
AUSDM
2006
Springer
107views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
We describe the use of a kernel
Ahmad Al-Oqaily, Paul J. Kennedy
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 8 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
AUSDM
2006
Springer
202views Data Mining» more  AUSDM 2006»
13 years 8 months ago
A Comparative Study of Classification Methods For Microarray Data Analysis
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
Hong Hu, Jiuyong Li, Ashley W. Plank, Hua Wang, Gr...
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
13 years 8 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
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
13 years 8 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
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
13 years 8 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