White Papers

Graph Based Molecular Data Mining - An Overview

Category: Data Management, Software and Web Development

Overview In the last years quite a lot of algorithms concerning frequent graph pattern mining have been published. In this paper an overview on the different methods for graph data mining is given, starting with the greedy searches proposed in the middle of the nineties. The ILP-based approaches are taken into account as well as ideas influenced by basket analyses proposed lately. A remaining question is how the different approaches can be tailored to meet the needs for mining molecules. In this area special problems occur as molecules are not just "Normal arbitrary graphs". There are structures that are typical and frequent as rings and chains, some node types resp. atoms occur more often than others.

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Publisher: Institute of Electrical and Electronics Engineers
File Format: PDF
Date Published: Oct 1, 2008
Format: White Papers
Topics: Graphics Applications, Data Visualization, Data Mining - Analysis

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