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» Numbers in Multi-relational Data Mining
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KDD
1999
ACM
117views Data Mining» more  KDD 1999»
15 years 9 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates
KDD
1998
ACM
140views Data Mining» more  KDD 1998»
15 years 9 months ago
Active Templates: Comprehensive Support for the Knowledge Discovery Process
The goal of Active Template research is to create a single, unified environment that a data analyst can use to carry out a knowledge discovery project, and to deliver the resultin...
Randy Kerber, Hal Beck, Tej Anand, Bill Smart
EDM
2009
106views Data Mining» more  EDM 2009»
15 years 2 months ago
Consistency of Students' Pace in Online Learning
The purpose of this study is to investigate the consistency of students' behavior regarding their pace of actions over sessions within an online course. Pace in a session is d...
Arnon Hershkovitz, Rafi Nachmias
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
15 years 11 months ago
Hierarchical Bayesian Models for Collaborative Tagging Systems
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim ...
EDBT
2010
ACM
184views Database» more  EDBT 2010»
15 years 11 months ago
Aggregation of asynchronous electric power consumption time series knowing the integral
More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data ...
Raja Chiky, Laurent Decreusefond, Georges Hé...