Title
Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms
Abstract
This paper reports on the development of a library of decision tree algorithms in Java. The basic model of a decision tree algorithm is presented and then used to justify the design choices and system architecture issues. The library has been designed for flexibility and adaptability. Its basic goal was an open system that could easily embody parts of different conventional as well as new algorithms, without the need of knowing the inner organization of the system in detail. The system has an integrated interface (ClassExplorer), which is used for controlling and combining components that comprise decision trees. The ClassExplorer can create objects "on the fly", from classes unknown during compilation time. Conclusions and considerations about extensions towards a more visual system are also described.
Year
Venue
Keywords
2000
PKDD
inner organization,basic model,decision tree algorithms,design choice,decision tree toolkit,system architecture issue,component-based library,decision tree algorithm,basic goal,open system,compilation time,decision tree,visual system,system architecture
Field
DocType
Volume
Decision tree,Object-oriented programming,Computer science,Algorithm,Artificial intelligence,Systems architecture,ID3 algorithm,Open system (systems theory),Java,Decision tree learning,Machine learning,Incremental decision tree
Conference
1910
ISSN
ISBN
Citations 
0302-9743
3-540-41066-X
4
PageRank 
References 
Authors
0.46
6
3
Name
Order
Citations
PageRank
Nikos Drossos1111.71
Athanassios Papagelis2634.45
Dimitrios Kalles31119.87