Top Abstract Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually large) datasets characterized by n objects (records), each one containing a set x of numerical or nominal attributes, and a special feature y designed as its outcome. Statisticians...
Downsizing 裁员 DTL-Decision Tree Induction 决策树归纳法 Dual Career Path 双重职业途径 ... www.docin.com|基于72个网页 2. 决策树归结法 猎头专业... ... Downward Move 降级 DTL-Decision Tree Induction 决策树归结法 EAP-Employee Assistance Program 员工辅佐 …www.mutualhunter.com|基于1 个网页...
11. Bhukya DP, Ramachandram S. Decision tree induction-an approach for data classification using AVL–Tree.Int J Comp d Electrical Engineering.2010;2(4): 660–665. doi: 10.7763/IJCEE.2010.V2.208. [CrossRef] [Google Scholar] 12. Lin N, Noe D, He X. Tree-based methods and their appl...
Top Abstract Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually large) datasets characterized by n objects (records), each one containing a set x of numerical or nominal attributes, and a special feature y designed as its outcome. Statisticians...
from distributed data. The resulting algorithms are provably exact in that the decision tree constructed from distributed data is identical to that obtained by the corresponding algorithm when in the batch set- ting. The distributed decision tree induction algorithms have been implemented as part of ...
In this work, we have introduced a decision tree induction algorithm, called DTFS, which uses a fast splitting attribute selection for expanding nodes. Our algorithm does not require to store the whole training set in memory and processes all the instances in the training set. The key insight ...
Decision tree induction systems: A Bayesian analysis. In Uncertainty in AI 3 , L. N. Kanal , T. S. Lewitt , and J. L. Lemmer (eds.) , Elsevier, 1989, 109–127.Wray L. Buntine.Decision tree induction systems: A Bayesian analysis. Uncertainty in Artificial Intelligence . 1898...
Our time-series tree has a time sequence in its internal node, and splits examples based on similarities between a pair of time sequences. We first define our standard example split test based on dynamic time warping, then propose a decision tree induction procedure for the split test. ...
Decision tree induction forms a tree-like graph structure as shown in the figure below, where: Each internal (non-leaf) node denotes a test on one of the features Each branch descending from a non-leaf node corresponds to an outcome of the test ...
We test the predictive performance of EVO-Tree using several public UCI data sets, and we compare the results with various state-of-the-art classification algorithms. 展开 关键词: classification decision tree induction evolutionary algorithms