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 ...

The 2001 No Child Left Behind Act (NCLB) increased accountability pressure in U.S. public schools by threatening to impose sanctions on Title 1 schools that failed to make adequate yearly progress (AYP) in consecutive years. Difference-in-difference estimates of the effect of failing AYP in the first year of NCLB on teacher effort in the subsequent year suggest that, on average, teacher absence...

Health smart card is like ATM card which provide cash benefits to patient through insurance company for hospital and medical benefits without expending money from the patient at the time of need. But now-a-days, fraud is done using the health smart card as few patients does not know the real cost of the treatment, so doctor take more payment and benefits through health smart card and generate f...

The most important information about the content of a document is represented by the key phrases of that document. In this study an automatic key phrase extraction algorithm is devised using machine learning technique. The proposed method not only considers the document level statistics like TFxIDF, the linguistic features of the phrases are also incorporated. Experiment has been performed on N...

This paper presents experimentson classifyingweb pages by genre. Firstly, a corpus of 1 539 manually labeled web pages was prepared. Secondly, 502 genre features were selected based on the literature and the observation of the corpus. Thirdly, these features were extracted from the corpus to obtain a data set. Finally, two machine learning algorithms, one for induction of decision trees (J48) a...