Due to fast growth of the internet technology there is need to establish security mechanism. So for achieving this objective NIDS is used. Datamining is one of the most effective techniques used for intrusion detection. This work evaluates the performance of unsupervised learning techniques over benchmark intrusion detection datasets. The model generation is computation intensive, hence to redu...

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...

-2007 Link-based features Dataset is used for the -based features. The

Recently, the issue of machine condition monitoring and fault diagnosis as a part of maintenance system became global due to the potential advantages to be gained from reduced maintenance costs, improved productivity and increased machine availability. The aim of this work is to investigate the effectiveness of a new fault diagnosis method based on power spectral density (PSD) of vibration sign...

This paper mainly deals with various classification algorithms namely, Bayes. NaiveBayes, Bayes. BayesNet, Bayes. NaiveBayesUpdatable, J48, Randomforest, and Multi Layer Perceptron. It analyzes the hepatitis patients from the UC Irvine machine learning repository. The results of the classification model are accuracy and time. Finally, it concludes that the Naive Bayes performance is better than...

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of business data, financial data, networked data and medical data. The goal of data mining is approaches are to develop generalized knowledge rather than identify specific information against specific individual. There has been growing concern that use of this technology is violating individual privac...

Thetaskofextractingtheusedfeaturevectorinminingtasks(classification,clustering...etc.)is consideredthemostimportanttaskforenhancingthetextprocessingcapabilities.Thispaperproposes anovelapproachtobeusedinbuildingthefeaturevectorusedinwebtextdocumentclassification process;addingsemanticsinthegeneratedfeaturevector.Thisapproachisbasedonuti...