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Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction
As the usage of software analytics for understanding different organizational practices becomes prevalent, it is important that data for these...
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Impact of word embedding models on text analytics in deep learning environment: a review
The selection of word embedding and deep learning models for better outcomes is vital. Word embeddings are an n-dimensional distributed...
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Big data analytics in healthcare environment using chaotic red deer optimizer with deep learning for disease classification model
Deep learning (DL) and big data analytics are powerful tools when combined for disease detection and healthcare applications. They enable the...
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A design of the panel for the progress and formative self-assessment detection in the learning analytics
Learning analytics dashboards (LADs) are very important tools for contemporary education. Not only researchers, but also schools at different levels...
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Data Analytics
Analyzing raw data for insights has been widely used, especially since the dot-com bubble. Data analytics is the process of analyzing data to draw...
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Application of Intelligent Methods of Correlation of System Events in Predictive Analysis of Security States of Objects of Critical Infrastructure
AbstractThe paper proposes a technique for the application of intelligent methods of correlation of system events that provides predictive analytics...
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Machine Learning for predictive analytics in Smart health and Virtual care
This book chapter focuses on Machine Learning (ML) enabled virtual storage for access and prediction in Smart Health care. The study of healthcare...
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Evaluating Fidelity of Explainable Methods for Predictive Process Analytics
Predictive process analytics focuses on predicting the future states of running instances of a business process. While advanced machine learning...
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Enhancing big data analytics deployment: uncovering stakeholder dynamics and balancing salience in project roles
Deployment constitutes a pivotal aspect of data science projects, such as big data analytics (BDA). A comprehensive definition of successful...
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Machine Learning for Big Data Analytics
This insightful chapter delves deeply into the enormous possibilities of using machine learning to extract meaningful insights from large amounts of...
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Introduction to Data Science and Data Analytics
This initial chapter, “Introduction to Data Science and Data Analytics”, presents the main concepts related to the subject of the book. As happened...
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Crime prediction in Trinidad and Tobago using big data analytics
Crime undermines human and economic growth across all demographics. This is particularly true for develo** countries. Thus, the reduction and...
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Data Analytics Modelling System for Short Courses at Seberang Jaya Community College
Community College adhered to the Ministry of Higher Education is well known for its lifelong learning prospects and distinctively offers a short...
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Impact of combining human and analytics feedback on students’ engagement with, and performance in, reflective writing tasks
Reflective writing is part of many higher education courses across the globe. It is often considered a challenging task for students as it requires...
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Datafication and algorithmization of education: How do parents and students evaluate the appropriateness of learning analytics?
Algorithmic systems such as Learning Analytics (LA) are driving the datafication and algorithmization of education. In this research, we focus on the...
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Canonical correlation and visual analytics for water resources analysis
In the last decades, urbanization and population growth substantially increased water consumption for agricultural, industrial, and residential...
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Optimizing task allocation in multi-query edge analytics
Edge analytics receives an ever-increasing interest since processing streaming data closer to where they are produced, rather than transferring them...
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AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating...
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Exploring the role of big data analytics and dynamic capabilities in ESG programs within pharmaceuticals
Achieving the United Nations’ Sustainable Development Goals (SDGs) requires environmental, social, and governance (ESG) programs in the...
