Qualitative and Quantitative Methods in Online Survey Design and Data Analytics

Qualitative and Quantitative Methods in Online Survey Design and Data Analytics
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Publisher :
Total Pages :
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ISBN-10 : 1522585648
ISBN-13 : 9781522585640
Rating : 4/5 (48 Downloads)

Book Synopsis Qualitative and Quantitative Methods in Online Survey Design and Data Analytics by : Shalin Hai-Jew

Download or read book Qualitative and Quantitative Methods in Online Survey Design and Data Analytics written by Shalin Hai-Jew and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores the uses of online survey systems for various types of research, data analysis, and exploration"--

Online Survey Design and Data Analytics: Emerging Research and Opportunities

Online Survey Design and Data Analytics: Emerging Research and Opportunities
Author :
Publisher : IGI Global
Total Pages : 241
Release :
ISBN-10 : 9781522585657
ISBN-13 : 1522585656
Rating : 4/5 (57 Downloads)

Book Synopsis Online Survey Design and Data Analytics: Emerging Research and Opportunities by : Hai-Jew, Shalin

Download or read book Online Survey Design and Data Analytics: Emerging Research and Opportunities written by Hai-Jew, Shalin and published by IGI Global. This book was released on 2019-05-03 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online survey research suites offer a vast array of capabilities, supporting the presentation of virtually every type of digital data – text, imagery, audio, video, and multimedia forms. With some researcher sophistication, these online survey research suites can enable a wide range of quantitative, qualitative, and mixed methods research. Online Survey Design and Data Analytics: Emerging Research and Opportunities is a critical scholarly resource that explores the utilization of online platforms for setting up surveys to achieve a specific result, eliciting data in in-depth ways and applying creative analytics methods to online survey data. Highlighting topics such as coding, education-based analysis, and online Delphi studies, this publication is ideal for researchers, professionals, academicians, data analysts, IT consultants, and students.

Emerging Perspectives in Big Data Warehousing

Emerging Perspectives in Big Data Warehousing
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Publisher : IGI Global
Total Pages : 366
Release :
ISBN-10 : 9781522555179
ISBN-13 : 152255517X
Rating : 4/5 (79 Downloads)

Book Synopsis Emerging Perspectives in Big Data Warehousing by : Taniar, David

Download or read book Emerging Perspectives in Big Data Warehousing written by Taniar, David and published by IGI Global. This book was released on 2019-06-28 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing
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Publisher : IGI Global
Total Pages : 285
Release :
ISBN-10 : 9781522597520
ISBN-13 : 1522597522
Rating : 4/5 (20 Downloads)

Book Synopsis Big Data Analytics for Sustainable Computing by : Haldorai, Anandakumar

Download or read book Big Data Analytics for Sustainable Computing written by Haldorai, Anandakumar and published by IGI Global. This book was released on 2019-09-20 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Handbook of Research on Big Data Clustering and Machine Learning

Handbook of Research on Big Data Clustering and Machine Learning
Author :
Publisher : IGI Global
Total Pages : 499
Release :
ISBN-10 : 9781799801078
ISBN-13 : 1799801071
Rating : 4/5 (78 Downloads)

Book Synopsis Handbook of Research on Big Data Clustering and Machine Learning by : Garcia Marquez, Fausto Pedro

Download or read book Handbook of Research on Big Data Clustering and Machine Learning written by Garcia Marquez, Fausto Pedro and published by IGI Global. This book was released on 2019-10-04 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.

Trends and Applications of Text Summarization Techniques

Trends and Applications of Text Summarization Techniques
Author :
Publisher : IGI Global
Total Pages : 356
Release :
ISBN-10 : 9781522593751
ISBN-13 : 1522593756
Rating : 4/5 (51 Downloads)

Book Synopsis Trends and Applications of Text Summarization Techniques by : Fiori, Alessandro

Download or read book Trends and Applications of Text Summarization Techniques written by Fiori, Alessandro and published by IGI Global. This book was released on 2019-08-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the availability of electronic documents increases exponentially with advancing technology, the time spent to process this wealth of resourceful information decreases. Content analysis and information extraction must be aided by summarization methods to quickly parcel pieces of interest and allow for succinct user familiarization in a simple, efficient manner. Trends and Applications of Text Summarization Techniques is a pivotal reference source that explores the latest approaches of document summarization including update, multi-lingual, and domain-oriented summarization tasks and examines their current real-world applications in multiple fields. Featuring coverage on a wide range of topics such as parallel construction, social network integration, and evaluation metrics, this book is ideally designed for information technology practitioners, computer scientists, bioinformatics analysts, business managers, healthcare professionals, academicians, researchers, and students.

Neutrosophic Graph Theory and Algorithms

Neutrosophic Graph Theory and Algorithms
Author :
Publisher : IGI Global
Total Pages : 406
Release :
ISBN-10 : 9781799813156
ISBN-13 : 1799813150
Rating : 4/5 (56 Downloads)

Book Synopsis Neutrosophic Graph Theory and Algorithms by : Smarandache, Florentin

Download or read book Neutrosophic Graph Theory and Algorithms written by Smarandache, Florentin and published by IGI Global. This book was released on 2019-10-25 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph theory is a specific concept that has numerous applications throughout many industries. Despite the advancement of this technique, graph theory can still yield ambiguous and imprecise results. In order to cut down on these indeterminate factors, neutrosophic logic has emerged as an applicable solution that is gaining significant attention in solving many real-life decision-making problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy. However, empirical research on this specific graph set is lacking. Neutrosophic Graph Theory and Algorithms is a collection of innovative research on the methods and applications of neutrosophic sets and logic within various fields including systems analysis, economics, and transportation. While highlighting topics including linear programming, decision-making methods, and homomorphism, this book is ideally designed for programmers, researchers, data scientists, mathematicians, designers, educators, researchers, academicians, and students seeking current research on the various methods and applications of graph theory.