Abstract E-learning systems become more popular than it has ever been. However the popularity of e-learning systems, still suffer from some problems related to the completion rate of online courses […]
An Ontological Model to Predict Dropout Students Using Machine Learning Techniques Read More »
Abstract Data analytics is used to obtain useful insights from small or large data set to conclude some useful information and also used for future recommendation and decision making. Predictive
PDD: Predictive Diabetes Diagnosis using Data mining Algorithms Read More »
Abstract This paper further enhances the techniques and chronological methods in order to perform the corresponding manipulation and further prediction analysis. We have acquired a real-time dataset based on the
Analyzing Product Usage Based on Twitter Users Based on Data mining Process Read More »
Abstract Under the new media environment, information communication presents the characteristics of timeliness, convenience, and interactivity, which changes the working environment of university student management. The new medias communication mode
Abstract With the continuous innovation of modern science and technology, automation technology, and information resources have become the main characteristics of the application of today’s cutting-edge technology. Gradually, it is
Abstract MapReduce is a “divide and conquer” applied paradigm for processing large volumes of data to filter out information to solve day to day complex challenges. MapReduce is the core
Testing Map Reduce program using Induction Method Read More »
Abstract We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network architectures
Towards Backward-Compatible Representation Learning Read More »
Abstract Schizophrenia is one of the mental disorders that impacts a person’s thinking, speech, and actions. It can reduce a person’s ability to process auditory information and make decisions. Analyzing
Understanding Cohesion in Writings and Speech of Schizophrenia Patients Read More »
Abstract Sentimental analysis plays an important role in these days because many start-ups have started with user-driven content [1]. Sentiment analysis is an important research area in natural language processing.
Sentimental Analysis on voice using AWS Comprehend Read More »
Abstract This paper presents a method to apply NaturalLanguage Processing for normalizing numeronyms to make them understandable by humans. We try to deal with the problem using two approaches, viz.,
Normalization of Numeronyms using NLP Techniques Read More »
