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Dietrich Wettschereck

dblp:w/DWettschereck · DBLP profile ↗
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10ranked-venue papers
6as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 8 · 5 first-authorDatabases, data management, data science and information retrieval · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Probabilistic and Bayesian machine learning · 27% Learning theory · 27% Kernel, tree and ensemble methods · 27%
Databases, data mining, and information retrieval
1 paper
Data mining · 50% Database system architecture and tuning · 50%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining
data mining system
0.011996
Extensibility in Data Mining Systems · KDD 1996
Database system architecture and tuning
extensibility
0.011996
Extensibility in Data Mining Systems · KDD 1996
Machine learning › Learning theory
classification
0.011993
Memory-Based Methods for Regression and Classification · NIPS 1993
Machine learning › Kernel, tree and ensemble methods
nearest neighbor methods
0.011993
Locally Adaptive Nearest Neighbor Algorithms · NIPS 1993
Machine learning › Probabilistic and Bayesian machine learning › statistical inference
regression
0.011993
Memory-Based Methods for Regression and Classification · NIPS 1993
Machine learning › Deep learning architectures and training › feedforward neural network
radial basis function network
0.011991
Improving the Performance of Radial Basis Function Networks by Learning Center Locations · NIPS 1991

Methods — techniques the papers use, named apart from their topics

nearest neighbor · 0.0memory-based methods · 0.0
YearPublicationVenuePosition
2003 Visualization and Evaluation Support of Knowledge Discovery through the Predictive Model Markup Language
Dietrich Wettschereck, Alípio Mário Jorge, Steve Moyle
KES1
1997 Case-Based Learning: Beyond Classification of Feature Vectors
David W. Aha, Dietrich Wettschereck
ECML2
1996 Relational Instance-Based Learning
Werner Emde, Dietrich Wettschereck
ICML2
1996 Extensibility in Data Mining Systems
Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde
KDD2
1995 Weighting Features
Dietrich Wettschereck, David W. Aha
ICCBR1
1995 An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms
Dietrich Wettschereck, Thomas G. Dietterich
Mach. Learn.1
1994 A Hybrid Nearest-Neighbor and Nearest-Hyperrectangle Algorithm
Dietrich Wettschereck
ECML1
1993 Memory-Based Methods for Regression and Classification
Thomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore 0001
NIPS2
1993 Locally Adaptive Nearest Neighbor Algorithms
Dietrich Wettschereck, Thomas G. Dietterich
NIPS1
1991 Improving the Performance of Radial Basis Function Networks by Learning Center Locations
Dietrich Wettschereck, Thomas G. Dietterich
NIPS1