Flash flooding is a type of global devastating hydrometeorological disaster that seriously threatens people’s property and physical safety, as well the normal operation water conservancy facilities, such reservoirs, so an accurate assessment reservoir risk for certain areas necessary. Therefore, purpose this study was to propose novel methodological approach modelling based on feature selection...

Decision tree models are commonly used in educational data mining to examine the data and induce a tree that will be used to make predictions about educational data. This study enables to obtain the decision tree models that predict the academic performance of the engineering students in contact education system. Genetic algorithm is a powerful search and optimization technique that has shown p...

This short paper compares the performance of three popular decision tree algorithms: C4.5, C5.0, and WEKA’s J48. These decision tree algorithms are all related in that C5.0 is an updated commercial version of C4.5 and J48 is an implementation of the C4.5 algorithm under the WEKA data mining platform. The purpose of this paper is to verify the explicit or implied performance claims for these alg...

Intrusion detection system is an important technology in the market sector as well as in the area of research. Intrusion detection is considered a useful security tool that assists in preventing attacker’s access to networks or systems. The determination of genuineness of packets is a key issue and various approaches of classification have been presented. The complexity of a classifier is great...

Machine Learning focuses on the construction and study of systems that can learn from data. This is connected with the classification problem, which usually is what Machine Learning algorithms are designed to solve. When a machine learning method is used by people with no special expertise in machine learning, it is important that the method be ‘robust’ in classification, in the sense that reas...

Intrusion detection systems (IDSs) are currently drawing a great amount of interest as a key part of system defence. IDSs collect network traffic information from some point on the network or computer system and then use this information to secure the network. Recently, machine learning methodologies are playing an important role in detecting network intrusions (or attacks), which further helps...

Classification and Regression Trees (CARTs) are off-the-shelf techniques in modern Statistics Machine Learning. CARTs traditionally built by means of a greedy procedure, sequentially deciding the splitting predictor variable(s) associated threshold. This approach trains trees very fast, but, its nature, their classification accuracy may not be competitive against other state-of-the-art procedur...

This paper analyzes how to introduce machine learning algorithms into the process of direct volume rendering. A conceptual framework for the optical property function elicitation process is proposed and particularized for the use of attribute-value classifiers. The process is evaluated in terms of accuracy and speed using four different off-theshelf classifiers (J48, Nave Bayes, Simple Logistic...

I thank Claire Black and Wei-Jang Huang for assistance in preparing this paper. I appreciate the comments of George Erickcek on a preliminary version of this paper. This paper was previously presented on November 20, 2009 at the 57th Annual Economic Outlook Conference of the Research Seminar in Quantitative Economics (RSQE) at the University of Michigan. I appreciate comments and questions for ...