Software analytics
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Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges Open
Voluminous amounts of data have been produced, since the past decade as the miniaturization of Internet of things (IoT) devices increases. However, such data are not useful without analytic power. Numerous big data, IoT, and analytics solu…
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Data Mining and Analytics in the Process Industry: The Role of Machine Learning Open
Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several decades. As a computational engine to data mining and analytics, machine learning ser…
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Educational data mining and learning analytics: An updated survey Open
This survey is an updated and improved version of the previous one published in 2013 in this journal with the title “data mining in education”. It reviews in a comprehensible and very general way how Educational Data Mining and Learning An…
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Big data analytics and firm performance: Findings from a mixed-method approach Open
Big data analytics has been widely regarded as a breakthrough technological development in academic and business communities. Despite the growing number of firms that are launching big data initiatives, there is still limited understanding…
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Prescriptive analytics: Literature review and research challenges Open
Business analytics aims to enable organizations to make quicker, better, and more intelligent decisions with the aim to create business value. To date, the major focus in the academic and industrial realms is on descriptive and predictive …
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Big Data Analytics in Medicine and Healthcare Open
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthc…
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–Omic and Electronic Health Record Big Data Analytics for Precision Medicine Open
Big data analytics makes sense of -omic and EHR data to improve healthcare outcome. It has long lasting societal impact.
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Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender Systems Open
© 2016 IEEE. This article is a comprehensive literature review of student-facing learning analytics reporting systems that track learning analytics data and report it directly to students. This literature review builds on four previously c…
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PyDriller: Python framework for mining software repositories Open
Software repositories contain historical and valuable information about the overall development of software systems. Mining software repositories (MSR) is nowadays considered one of the most interesting growing fields within software engin…
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Text Analysis in R Open
Computational text analysis has become an exciting research field with many applications in communication research. It can be a difficult method to apply, however, because it requires knowledge of various techniques, and the software requi…
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The emerging role of data scientists on software development teams Open
Creating and running software produces large amounts of raw data about the development process and the customer usage, which can be turned into actionable insight with the help of skilled data scientists. Unfortunately, data scientists wit…
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Big Data and Human Resources Management: The Rise of Talent Analytics Open
The purpose of this paper is to discuss the opportunities talent analytics offers HR practitioners. As the availability of methodologies for the analysis of large volumes of data has substantially improved over the last ten years, talent a…
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Learning analytics dashboard: a tool for providing actionable insights to learners Open
This study investigates current approaches to learning analytics (LA) dashboarding while highlighting challenges faced by education providers in their operationalization. We analyze recent dashboards for their ability to provide actionable…
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Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions Open
Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big d…
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Demystifying Learning Analytics in Personalised Learning Open
This paper presents learning analytics as a mean to improve students’ learning. Most learning analytics tools are developed by in-house individual educational institutions to meet the specific needs of their students. Learning analytics is…
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Artificial intelligence approaches and mechanisms for big data analytics: a systematic study Open
Recent advances in sensor networks and the Internet of Things (IoT) technologies have led to the gathering of an enormous scale of data. The exploration of such huge quantities of data needs more efficient methods with high analysis accura…
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Trends and issues in student-facing learning analytics reporting systems research Open
© 2017 ACM. We conducted a literature review on systems that track learning analytics data (e.g., resource use, time spent, assessment data, etc.) and provide a report back to students in the form of visualizations, feedback, or recommenda…
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Learning Analytics for Self-Regulated Learning Open
Four descriptions of learning analytics are widely cited.Siemens (2010) described learning analytics as and analysis models to discover information and socialThe website for the 1 st International Conference on Learning Analytics and Knowl…
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Blending Big Data Analytics: Review on Challenges and a Recent Study Open
With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations. These collected data can contain important information that may be key to solving wide-ranging problems,…
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Big Data Analytics and Firm Performance: A Systematic Review Open
The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. This study aims to provide a systematic review of contributions related to big data analytics …
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Editorial: Augmenting Learning Analytics with Multimodal Sensory Data Open
The goal of Learning Analytics is to understand and improve learning. However, learning does not always occur through or mediated by a technological system that can collect digital traces. To be able to study learning in non-technology cen…
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Analytics for learning design: A layered framework and tools Open
The field of learning design studies how to support teachers in devising suitable activities for their students to learn. The field of learning analytics explores how data about students' interactions can be used to increase the understand…
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Making Sense of Learning Analytics Dashboards: A Technology Acceptance Perspective of 95 Teachers Open
The importance of teachers in online learning is widely acknowledged to effectively support and stimulate learners. With the increasing availability of learning analytics data, online teachers might be able to use learning analytics dashbo…
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Applications of AI in classical software engineering Open
Although Artificial Intelligence (AI) has become a buzzword for self-organizing IT applications, its relevance to software engineering has hardly been analyzed systematically. This study combines a systematic review of previous research in…
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How do we start? An approach to learning analytics adoption in higher education Open
Purpose The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach to advancing our understanding of the learning process. This promise motivated t…
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Immersive Analytics: Theory and Research Agenda Open
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Big Data Analytics: Challenges And Applications For Text, Audio, Video, And Social Media Data Open
All types of machine automated systems are generating large amount of data in different forms like statistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper we are discussing issues, challen…
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Big Earth data analytics: a survey Open
Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and other sources. The data embed unprecedented insights and spatiotemporal stamps of relevant Earth phenomena for improving our understanding,…
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A Survey on Predictive Models of Learning Analytics Open
In recent years, the evolution of research in the domain of education focuses on learning analytics which provides vital insights on education outcome by collecting valuable data about learning person or/and institutions. The main objectiv…
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Data Analytics in Higher Education: An Integrated View Open
Data analytics in higher education provides unique opportunities to examine, understand, and model pedagogical processes. Consequently, the methodologies and processes underpinning data analytics in higher education have led to distinguish…