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TKDE
2008
123views more  TKDE 2008»
13 years 9 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
TKDE
2008
133views more  TKDE 2008»
13 years 9 months ago
Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
Alok Sharma, Kuldip K. Paliwal
TKDE
2008
111views more  TKDE 2008»
13 years 8 months ago
An Exploratory Study of Database Integration Processes
One of the central problems of database integration is schema matching, that is, the identification of similar data elements in two or more databases or other data sources. Existin...
Joerg Evermann
TKDE
2008
148views more  TKDE 2008»
13 years 9 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru
TKDE
2008
132views more  TKDE 2008»
13 years 9 months ago
Distributed Suffix Tree Overlay for Peer-to-Peer Search
Establishing an appropriate semantic overlay on peer-to-peer (P2P) networks to obtain both semantic ability and scalability is a challenge. Current DHT-based P2P networks are limit...
Hai Zhuge, Liang Feng