Title
CTGE-ILP: Correlative Term Graph-Based Extended ILP
Abstract
Now it is much more prevalent to mine complex data in the fields of data mining and the main methods include the experience and technology of no-structer data mining. On account of the flexible practicability and broad appliance of graph theory and technology, the research of graph-based data mining has presently been becoming an important direction in this domain. In this paper, knowledge discovery researching was studyed throgh the technology of correlative graph- based data mining. The concept of CTGE-ILP (Correlative Term Graph-based Extended Inductive Logic Programming) and the correlative term graph were bring forward, and then discussing the reasoning technology by combining correlative term graph theory and inductive logic programming technic. Next we design the technology of refutable consequence in CTGE-ILP and the corresponding algorithm. At last an prototype integrating both the idea and technic above was opened up and turned out its validity via the data demonstration.
Year
DOI
Venue
2007
10.1109/SKG.2007.93
SKG
Keywords
DocType
ISBN
no-structer data mining,correlative term,reasoning technology,correlative graph-based data mining,inference mechanisms,graph-based data mining,correlative term graph,correlative graph,knowledge discovery,data mining,correlative term graph theory,graph theory,data demonstration,extended inductive logic programming,inductive logic programming,complex data
Conference
978-0-7695-3007-9
Citations 
PageRank 
References 
0
0.34
6
Authors
1
Name
Order
Citations
PageRank
Liu Bo100.68