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» Mining association rules from imprecise ordinal data
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KDD
1998
ACM
141views Data Mining» more  KDD 1998»
15 years 10 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...
CE
2008
160views more  CE 2008»
15 years 6 months ago
Data mining in course management systems: Moodle case study and tutorial
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
Cristóbal Romero, Sebastián Ventura,...
INTERACTION
2009
ACM
16 years 20 days ago
Temporal-spatial association analysis of ocean salinity and temperature variations
Ocean circulation plays an important role in global climate change. In an effort to monitor ocean circulation an infrastructure of more than 3,000 buoys have been deployed in the ...
Yo-Ping Huang, Jung-Shian Jau, Frode Eika Sandnes
AI
2004
Springer
15 years 11 months ago
Distributed Data Mining vs. Sampling Techniques: A Comparison
To address the of mining a huge volume of geographically distributed databases, we propose two approaches. The first one is to download only a sample of each database. The second ...
Mohamed Aounallah, Sébastien Quirion, Guy W...
DEXA
2008
Springer
123views Database» more  DEXA 2008»
15 years 8 months ago
Emerging Pattern Based Classification in Relational Data Mining
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Michelangelo Ceci, Annalisa Appice, Donato Malerba