A Decision Tree Algorithm using Genetic Programming
نویسندگان
چکیده
منابع مشابه
automatic verification of authentication protocols using genetic programming
implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...
15 صفحه اولBuilding Decision Tree Software Quality Classification Models Using Genetic Programming
Predicting the quality of software modules prior to testing or system operations allows a focused software quality improvement endeavor. Decision trees are very attractive for classification problems, because of their comprehensibility and white box modeling features. However, optimizing the classification accuracy and the tree size is a difficult problem, and to our knowledge very few studies ...
متن کاملGenetic Programming Decision Tree for Bankruptcy Prediction
In this paper, we apply the CART ,C5.0 , GP decision tree classifiers and compares with logic model and ANN model for Taiwan listed electronic companies bankruptcy prediction. Results reveal that the GP decision tree can outperform all the classifiers either in overall percentage of correct or k-fold cross validation test in out sample. That is to say, GP decision tree model have the highest ac...
متن کاملA hybrid decision tree/genetic algorithm method for data mining
This paper addresses the well-known classification task of data mining, where the objective is to predict the class which an example belongs to. Discovered knowledge is expressed in the form of high-level, easy-to-interpret classification rules. In order to discover classification rules, we propose a hybrid decision tree/genetic algorithm method. The central idea of this hybrid method involves ...
متن کاملSingle versus Multiple Tree Genetic Programming for Dynamic Decision Making
This paper considers genetic programming (GP) for dynamic decision making. Standard genetic programming only uses a single decision tree for decision making. In contrast, this paper proposes a general multiple tree framework for dynamic decision problems, where evaluation is contingent on the previous output of the program. The working hypothesis is that “recurrent” multiple trees are superior ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2003
ISSN: 2287-7843
DOI: 10.5351/ckss.2003.10.3.845