LNAI 3127 Concept Based Data Mining with Scaled Labeled Graphs 1st Edition by Bernhard Ganter, Peter Grigoriev, Sergei Kuznetsov, Mikhail Samokhin- Ebook PDF Instant Download/Delivery. 9783540206460 ,354020646X
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Product details:
ISBN 10: 354020646X
ISBN 13: 9783540206460
Author: Bernhard Ganter, Peter Grigoriev, Sergei Kuznetsov, Mikhail Samokhin
Graphs with labeled vertices and edges play an important role in various applications, including chemistry. A model of learning from positive and negative examples, naturally described in terms of Formal Concept Analysis (FCA), is used here to generate hypotheses about biological activity of chemical compounds. A standard FCA technique is used to reduce labeled graphs to object-attribute representation. The major challenge is the construction of the context, which can involve ten thousands attributes. The method is tested against a standard dataset from an ongoing international competition called Predictive Toxicology Challenge (PTC).
LNAI 3127 Concept Based Data Mining with Scaled Labeled Graphs 1st Edition Table of contents:
1 Introduction
2 A Learning Model
3 Scaling Labeled Graphs and Their Projections
4 QuDA: Qualitative Data Analysis
5 Experiments with the PTC dataset
6 Conclusions and Further Work
References
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