Continuous advancement in the health sector is essential to reduce costs and increase efficiency quality of service. The widespread use ultrasonography (USG) has made it possible detect thyroid nodules with higher success rates. Some standard scoring systems have been developed score nodules. Thyroid are classification that determine risk cancer according ultrasonographic characteristics nodule...

Quality of Experience (QoE) has become an indispensable phenomenon in the ever-growing research facets of multimedia community. Context-aware QoE needs better framework to meet the demands of mobile video environments. The proliferation of various wireless technologies have endorsed wide spread usage of video applications such as 3D games and 3D movies. This work describes a novel machine learn...

The application of data mining algorithms requires the use of powerful software tools. As the number of available tools continues to grow, the choice of the most suitable tool becomes increasingly difficult. This paper present the basic data mining techniques i. e. , naive Bayesian tree, RIpple DOwn Rule, naive Bayes and decision tree algorithm J48 for classifying in medical databases. The goal...

We use a combination of image analysis techniques and a neural network to design a face detector. In this paper, we apply J48, Naïve Bayes, and Artificial Neural Network Machine Learning techniques in identifying smiles within a picture. We then take the same image analysis techniques and adapt it to also quantify faces in a picture, and then use different classifiers to determine if a smile is...

Activity Recognition is a typical classification problem. The goal is to detect and recognize everyday activities of a person. This paper presents our approach to measurements and classification of a person’s movements. This is done by using two 3-axis radio accelerometers attached to the person’s body and by reconstruction and interpretation of the user’s behavior. We compared two machine lear...

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 ...

Model trees are decision trees with linear regression functions at the leaves. Although originally proposed for regression, they have also been applied successfully in classification problems. This paper studies their performance for imbalanced problems. These trees give better results that standard decision trees (J48, based on C4.5) and decision trees specific for imbalanced data (CCPDT: Clas...

In this paper empirical comparison is carried out with various supervised algorithms. We studied the performance criterion of the machine learning tools such as Naïve Bayes, Support vector machines, Radial basis neural networks, Decision trees J48 and simple CART in detecting diseases. We used both binary and multi class data sets namely WBC, WDBC, Pima Indians Diabetes database and Breast tiss...

In this paper, we compare the performance of a variety of machine learning algorithms, including supervised Naïve Bayes, J48, SVM, Random Tree, Random Forest, and non-supervised KNN for determining the type of cancer a patient is su ering using medical textual records. We train these classi ers on di erent sets of features such as unigrams and bigrams of words, character n-grams using tf-idf we...

The paper presents an approach to predict personality traits of a writer for the author profiling task of the PAN CLEF 2015. The task aimed at predicting authors’ demographics based on the written tweets of an author. These demographics included traditional authorship attributes of age, gender and various personality traits of an author. We applied topic modeling using LDA as baseline approach ...