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155
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CE
2008
160views more  CE 2008»
15 years 3 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,...
119
Voted
ICSM
1998
IEEE
15 years 8 months ago
Identification of Data Cohesive Subsystems Using Data Mining Techniques
The activity of reengineering and maintaining large legacy systems involves the use of design recovery es to produce abstractions that facilitate the understanding of the system. ...
Carlos Montes de Oca, Doris L. Carver
160
Voted
ADC
2008
Springer
110views Database» more  ADC 2008»
15 years 10 months ago
Graph Mining based on a Data Partitioning Approach
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Son N. Nguyen, Maria E. Orlowska, Xue Li
196
Voted
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
16 years 3 months ago
Building data mining solutions with OLE DB for DM and XML for analysis
A data mining component is included in Microsoft SQL Server 2000 and SQL Server 2005, one of the most popular DBMSs. This gives a push for data mining technologies to move from a ...
ZhaoHui Tang, Jamie Maclennan, Pyungchul (Peter) K...
130
Voted
IEEEICCI
2006
IEEE
15 years 9 months ago
User-centered Interactive Data Mining
While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and comp...
Yan Zhao, Yaohua Chen, Yiyu Yao