Graph-based induction and its applications
نویسندگان
چکیده
A machine learning technique called Graph-based induction (GBI) ef®ciently extracts typical patterns from graph data by stepwise pair expansion (pairwise chunking). In this paper, we introduce GBI for general graph structured data, which can handle directed/undirected, colored/uncolored graphs with/without (self) loop and with colored/uncolored links. We show that its time complexity is almost linear with the size of graph. We, further, show that GBI can effectively be applied to the extraction of typical patterns from DNA sequence data and organochlorine compound data from which are to be generated classi®cation rules, and that GBI also works as a feature construction component for other machine learning tools. q 2002 Published by Elsevier Science Ltd.
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عنوان ژورنال:
- Advanced Engineering Informatics
دوره 16 شماره
صفحات -
تاریخ انتشار 2002