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120
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EDM
2010
142views Data Mining» more  EDM 2010»
15 years 5 months ago
A Data Model to Ease Analysis and Mining of Educational Data
Learning software is not designed for data analysis and mining. Because usage data is not stored in a systematic way, its thorough analysis requires long and tedious preprocessing....
André Krüger, Agathe Merceron, Benjami...
117
Voted
GIS
2010
ACM
15 years 1 months ago
A data stream-based evaluation framework for traffic information systems
Traffic information systems based on mobile, in-car sensor technology are a challenge for data management systems as a huge amount of data has to be processed in real-time. Data m...
Sandra Geisler, Christoph Quix, Stefan Schiffer
146
Voted
ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
15 years 1 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
125
Voted
PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni
165
Voted
CEC
2007
IEEE
15 years 7 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...