Name
Title | ||
|---|---|---|
Acquisition of Characteristic Tree Patterns with VLDC's by Genetic Programming and Edit Distance |
Abstract | ||
|---|---|---|
Knowledge discovery from structured data is an important task in machine learning and data mining. We propose a learning method for acquiring characteristic tree patterns with VLDC's from positive and negative tree structured data by using Genetic Programming and tree edit distance. We report experimental results on applying our method to glycan data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IIAI-AAI.2013.79 | Advanced Applied Informatics |
Keywords | Field | DocType |
important task,genetic programming,negative tree,data mining,characteristic tree pattern,knowledge discovery,edit distance,characteristic tree patterns,structured data,tree data structures,learning artificial intelligence,genetic algorithms | Edit distance,Tree traversal,Computer science,Tree (data structure),Genetic programming,Order statistic tree,Knowledge extraction,Artificial intelligence,Machine learning,Decision tree learning,Incremental decision tree | Conference |
ISBN | Citations | PageRank |
978-1-4799-2134-8 | 3 | 0.47 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shohei Nakai | 1 | 3 | 0.47 |
| Tetsuhiro Miyahara | 2 | 267 | 32.75 |
| Tetsuji Kuboyama | 3 | 140 | 29.36 |
| Tomoyuki Uchida | 4 | 255 | 35.06 |
| Yusuke Suzuk | 5 | 3 | 0.47 |