University
leads data mine plan (NEWS.com.au - Australia)
"The University of Technology Sydney is trying to establish a $38
million data mining center of excellence to involve universities,
industry and government..."
It is interesting to see how important Data Mining is becoming.
This blog focuses on the relationships that connect us together providing potent insights for decision makers. In addition, a few data mining topics are presented.
Tuesday, November 23, 2004
Friday, November 19, 2004
Papers
Repository of publications related to Data Mining
Includes interesting papers such as Efficient
algorithms for creating product catalogs, Selective
Markov Models for Predicting Web-Page Accesses, Web
Page Categorization and Feature Selection Using Association Rule and
Principal Component Clustering, and some others that look
interesting.
Includes interesting papers such as Efficient
algorithms for creating product catalogs, Selective
Markov Models for Predicting Web-Page Accesses, Web
Page Categorization and Feature Selection Using Association Rule and
Principal Component Clustering, and some others that look
interesting.
Thursday, November 11, 2004
Data Mining Dataset & Model Repositories
UCI KDD Archive
The central repository for data mining datasets.
ML UCI Repository
The central ML machine learning repository
PMML Sample
Models various PMML models for some of the commonly used datasets
(such as Iris, Voting, and Elnino).
The central repository for data mining datasets.
ML UCI Repository
The central ML machine learning repository
PMML Sample
Models various PMML models for some of the commonly used datasets
(such as Iris, Voting, and Elnino).
DMG - PMML
PMML Specs
"Predictive Model Markup Language (PMML) is an XML-based language
which provides a quick and easy way for companies to define predictive
models and share models between compliant vendors' applications."
It is sponsored by the Data Mining Group (DMG).
"Predictive Model Markup Language (PMML) is an XML-based language
which provides a quick and easy way for companies to define predictive
models and share models between compliant vendors' applications."
It is sponsored by the Data Mining Group (DMG).
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