Machine learning techniques for automated musical genre classification is 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 cla...

The students’ performance monitoring and evaluation is an essential activity of an education system to keep track of the success and failure records of the students. The objective of this research is to provide the best classification model to predict the students’ academic performance. In this paper we propose a Multilevel Classification Model (MLCM) based on Decision Tree Algorithm for the pr...

OBJECTIVE To semi-automatically induce semantic categories of eligibility criteria from text and to automatically classify eligibility criteria based on their semantic similarity. DESIGN The UMLS semantic types and a set of previously developed semantic preference rules were utilized to create an unambiguous semantic feature representation to induce eligibility criteria categories through hie...

Now a day E-learning is becoming popular as it helps to fulfil the necessities of remote students and helps the teaching-learning process in Education system. Course Recommender System in E-Learning is a system which recommend the course to the student based on the choice of various student collected from huge amount of data of courses offered through Moodle package of the college. Here in this...

Data fusion is usually performed prior to classification in order to reduce the input space. These dimensionality reduction techniques help to decline the complexity of the classification model and thus improve the classification performance. The traditional supervised methods demand labeled samples, and the current network traffic data mostly is not labeled. Thereby, better learners will be bu...

Introduction The role of prophylactic inguinal irradiation (PII) in the treatment of anal cancer patients is controversial. We developped an innovative algorithm based on the Machine Learning (ML) allowing the tailoring of the prescription of PII. Results Once verified on the independent testing set, J48 showed the better performances, with specificity, sensitivity, and accuracy rates in pred...

In higher education such as university, academic is becoming major asset. The performance of academic has become a yardstick of university performance. Therefore it's important to know the talent of academicians in their university, so that the management can plan for enhancing the academic talent using human resource data. Therefore, this research aims to develop an academic talent model using...

The application of data mining technique has been widely applied in different business areas such as health, education and finance for the purpose of data analysis and then to support and maximizes the organizations’ customer satisfaction in an effort to increase loyalty and retain customers’ business over their lifetimes . The researchers’ primary objective, in this paper is to classify custom...

With the exponential growth of social media i.e. blogs and social networks, organizations and individual persons are increasingly using the number of reviews of these media for decision making about a product or service. Opinion mining detects whether the emotions of an opinion expressed by a user on Web platforms in natural language, is positive or negative. This paper presents extensive exper...