Sciweavers

1768 search results - page 229 / 354
» Mining Very Large Databases
Sort
View
126
Voted
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 9 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
138
Voted
PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
15 years 8 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
116
Voted
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 7 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
169
Voted
KDD
2010
ACM
323views Data Mining» more  KDD 2010»
15 years 5 months ago
TIARA: a visual exploratory text analytic system
In this paper, we present a novel exploratory visual analytic system called TIARA (Text Insight via Automated Responsive Analytics), which combines text analytics and interactive ...
Furu Wei, Shixia Liu, Yangqiu Song, Shimei Pan, Mi...
166
Voted
BMCBI
2008
141views more  BMCBI 2008»
15 years 3 months ago
Ontology-guided data preparation for discovering genotype-phenotype relationships
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
Adrien Coulet, Malika Smaïl-Tabbone, Pascale ...