Mathuria, "Decision tree analysis on j48 algorithm for data mining," Proceedings of International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, no. 6, 2013.Bhargava N, Sharma G, Bhargava R, Mathuria M (2013) Decision tree analysis on j48 algorithm for ...
Hence, importance and usefulness of such metrics is understandable, but empirical validation of these metrics is always a great challenge. J48 decision tree algorithm has been successfully applied for solving classification problems in many applications. This paper evaluates the capability of algorithm ...
Therefore, in this study, the potential combinations of the J48 Decision Tree (JDT) and three machine learning ensembles, AdaBoost, Bagging, and Conclusions Landslide susceptibility modeling is one of most important way to deal with human casualties and socio-economic losses. Therefore, high-...
To recognize emotional states accurately and effectively,preprocessing and feature extraction for multi-physiological signals(ECG,EMG,RSP,SC)in terms of four emotions(Joy,Anger,Sadness,Pleasure)were undertaken,ReliefF algorithm was used for feature selection,and J48 decision tree classifier was used to ...
This algorithm also has the ability to handle attributes with variable cost. Finally, C4.5 can prune the decision tree after its creation, which reduces its size and thereby saves both time and memory. 2.3. J48graft The concept of tree grafting is based on the desire to discard the “...
问WEKA J48类的C#或.NET实现？EN然而时序预测也是一项比较难的地方，主要是短期预测可能还比较准，而对...
Kosamkar, V.: Improved Intrusion detection system using C4.5 decision tree and support vector machine. Doctoral dissertation, Mumbai University (2013) Li, W., Yi, P., Wu, Y., Pan, L., Li, J.: A new intrusion detection system based on KNN classification algorithm in wireless sensor netwo...
Monitoring Automobile Tyre Pressure with Statistical Computations and J48 Decision Tree AlgorithmCurrently tyre pressure monitoring systems are used in automobiles to determine the air pressure of the tyres. These systems use pressure sensors in case of direct systems or wheel speed sensors in case of ...
This algorithm also has the ability to handle attributes with variable cost. Finally, C4.5 can prune the decision tree after its creation, which reduces its size and thereby saves both time and memory. 3.3. J48graft The concept of tree grafting is based on the desire to discard the “...
67.17 and 95.92% respectively and consequently, the classification rules are extracted from this methodology.The sixteen variables used in this study are decreased to eleven variables via W-J48 algorithm and the decision tree is constructed.Keywords: dental implants, prediction model, decision tree,W-...