In this paper, we propose a classification based approach to the morphological disambiguation for Turkish language. Due to complex morphology in Turkish, any word can get unlimited number of affixes resulting very large tag sets. The problem is defined as choosing one of parses of a word not taking the existing root word into consideration. We trained our model with well-known classifiers using...

The primary intent of this paper is detect malicious traffic at the network level. To this end, we apply several machine learning techniques to build classifiers that fingerprint maliciousness on IP traffic. As such, J48, Naı̈ve Bayesian, SVM and Boosting algorithms are used to classify malware communications that are generated from dynamic malware analysis framework. The generated traffic log f...

We propose to extend CART for bivariate marked point processes provide a segmentation of the space into homogeneous areas interaction between marks. While usual tree considers marginal distribution response variable at each node, proposed algorithm, SpatCART, takes account spatial location observations in splitting criterion. introduce dissimilarity index based on Ripley’s intertype K-function ...

as we know that with the help of Data mining techniques we can find out knowledge in terms of various characteristics and patterns. In this regard this paper presents finding out of anomalies/ outliers using various decision tree based classifiers viz. Best-first Decision Tree, Functional Tree, Logistic Model Tree, J48 and Random Forest decision tree. Three real world datasets has been used in ...

Fault diagnosis of monoblock centrifugal pump is conceived as a pattern recognition problem. There are three important phases involved in a pattern recognition namely feature extraction, feature selection and classification. In this study, stationary wavelet transform (SWT) is used for feature extraction and J48 algorithm is used for feature selection and classification. The different fault con...

Cardiotocography (CTG) records fetal heart rate (FHR) and uterine contractions (UC) simultaneously. Cardiotocography trace patterns help doctors to understand the state of the fetus. Even after the introduction of cardiotocograph, the capacity to predict is still inaccurate. This paper evaluates some commonly used classification methods using WEKA. Precision, Recall, F-Measrue and ROC curve hav...

In the past, the plants have been studied for various reasons whether it is for medicine or diseases classification. A plant can be classified on the basis of its flowers, size and shape of the leaves including color, barks etc. The role of leaves in taxonomic classification of plants is very essential. This paper studies the effect of leaf image quality improvement by sharpening and enhancing ...

Abstract In the last decades, mobile-based apps have been increasingly used in several application fields for many purposes involving a high number of human activities. Unfortunately, addition to this, cyber-attacks related mobile platforms is increasing day-by-day. However, although advances Artificial Intelligence science allowed addressing aspects problem, malware classification tasks are st...

Machine learning techniques for automated musical genre classification are currently widely studied. With large collections of digital musical files, one approach to classification is to classify by musical genres such as pop, rock and classical in Western music. Beat, pitch and temporal related features are extracted from audio signals and various machine learning algorithms are applied for cl...