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» Multi-Dimensional Relational Sequence Mining
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WWW
2004
ACM
16 years 13 days ago
E-learning personalization based on itineraries and long-term navigational behavior
In this paper we describe a practical framework for studying the navigational behavior of the users of an e-learning environment integrated in a virtual campus. The students navig...
Enric Mor, Julià Minguillón
92
Voted
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 5 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
15 years 4 months ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
ICCBR
2010
Springer
15 years 3 months ago
Text Adaptation Using Formal Concept Analysis
This paper addresses the issue of adapting cases represented by plain text with the help of formal concept analysis and natural language processing technologies. The actual cases r...
Valmi Dufour-Lussier, Jean Lieber, Emmanuel Nauer,...
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
15 years 1 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà