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135
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KDID
2004
121views Database» more  KDID 2004»
15 years 5 months ago
Constraint Relaxations for Discovering Unknown Sequential Patterns
The main drawbacks of sequential pattern mining have been its lack of focus on user expectations and the high number of discovered patterns. However, the solution commonly accepted...
Cláudia Antunes, Arlindo L. Oliveira
CEC
2009
IEEE
15 years 7 months ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
118
Voted
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
98
Voted
CICLING
2009
Springer
15 years 10 months ago
Semantic-Based Temporal Text-Rule Mining
Abstract. In many contexts today, documents are available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also...
Kjetil Nørvåg, Ole Kristian Fivelstad
128
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KDD
2009
ACM
160views Data Mining» more  KDD 2009»
15 years 10 months ago
Surveying the complementary role of automatic data analysis and visualization in knowledge discovery
The aim of this work is to survey and reflect on the various ways to integrate visualization and data mining techniques toward a mixed-initiative knowledge discovery taking the be...
Enrico Bertini, Denis Lalanne