Abstract Current Conditional Functional Dependency (CFD) discovery algorithms always need a well-prepared training dataset. This condition makes them difficult to apply on large and low-quality datasets. To handle the volume […]
Mining conditional functional dependency rules on big data Read More »
Abstract With the explosive increase of big data, it is necessary to apply large-scale data processing systems to analyze Big Data. Arguably, Spark is state of the art in large-scale
Abstract Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression
AI Techniques for COVID-19 Read More »
Abstract Artificial Intelligence is a tool that enables marketers to create highly personalized customer experiences, increases the organization’s responsiveness, and solve customers’ problems. In this paper, the chatbot is analyzed
Artificial Intelligence Marketing: Chatbots Read More »
Abstract This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether
Traffic Prediction for Intelligent Transportation System using Machine Learning Read More »
Abstract In recent years, due to the technological improvements in computers’ hardware and enhancements in the machine learning techniques, there are two increasing approaches for problem-solving as the use of
Deep Learning Based Forecasting in Stock Market with Big Data Analytics Read More »
Abstract Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to
Text Mining in Big Data Analytics Read More »
Abstract This article presents an empirical study that tests a new concept, “issue ownership network,” which is based on the network agenda setting (NAS) model and the theory of issue
Abstract Social life increasingly occurs in digital environments and continues to be mediated by digital systems. Big data represents the data being generated by the digitization of social life, which
Data ex Machina: Introduction to Big Data Read More »
Abstract: Large-scale databases of human activity in social media have captured scientific and policy attention, producing a flood of research and discussion. This paper considers methodological and conceptual challenges for
