Decision tree construction is a well studied problem in data mining. Recently, there was much interest in mining streaming data. For data stream classification, time is a major issue. However, these spatial datasets are too large to be classified effectively in a reasonable period of time using...
Decision tree construction is a well-studied problem in data mining. Recently, there has been much interest in mining data streams. Domingos and Hulten have presented a one-pass algorithm for decision tree constructions. Their system using Hoeffding inequality to achieve a probabilistic bound on the...
We extend classical decision tree building algorithms to handle data tuples with uncertain values. Since processing pdf's is computationally more costly, we propose a series of pruning techniques that can greatly improve the efficiency of the construction of decision trees. 展开 关键词:...
Among many data mining methods, intelligent decision tree building algorithm is especially of interest in the sense that it enables the automatic generation of decision rules from the tree, facilitating the construction of expert system. On the basis of experiment using semiconductor etching machine, ...
Data mining (DM) techniques have not been adopted on a wide scale for construction accident data analysis. The decision tree (DT) technique is a supervised data mining method that shows good promise for this purpose. The C5.0 and CHAID algorithms were employed in this study to construct decisi...
Using a stratified random sampling, soil bacterial diversity was measured in 196 soil samples in a forest area where construction of an eco-friendly road was planned. Model accuracy, coherence analyses, and tree analysis were systematically performed, and four-class discretized decision tree (DT) ...
For a decision tree with hypotheses for some rows of the considered decision table, it can be more than one derived decision rule that covers the row. In this case, for each row we chose the best rule. The results of the computer experiments show that the decision rules derived from the...
The terminal node of the decision tree stands for the final decision or classification for the system [29]. In order to quantitatively assess the outcomes of the characteristics or patterns in a classification, probabilities or weights can be incorporated in the construction of the decision tree [...
Efficient Decision Tree Construction on Streaming Data (KDD 2003) Ruoming Jin, Gagan Agrawal [Paper] PaintingClass: Interactive Construction Visualization and Exploration of Decision Trees (KDD 2003) Soon Tee Teoh, Kwan-Liu Ma [Paper] Accurate Decision Trees for Mining High-Speed Data Streams (KDD...
Missing value imputation is one of the biggest tasks of data pre-processing when performing data mining. Most medical datasets are usually incomplete. Simp... M Rahman,DN Davis - 《Lecture Notes in Electrical Engineering》 被引量: 38发表: 2013年 Tree-based prediction on incomplete data using ...