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Emerging Perspectives in Big Data Warehousing

2019-06-28 Computers
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Release : 2019-06-28
Genre : Computers
Kind : eBook
Book Rating : 17X/5 ( reviews)

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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. This book was released on 2019-06-28. 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.

New Trends in Data Warehousing and Data Analysis

2008-11-21 Business & Economics
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Release : 2008-11-21
Genre : Business & Economics
Kind : eBook
Book Rating : 302/5 ( reviews)

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Book Synopsis New Trends in Data Warehousing and Data Analysis by : Stanisław Kozielski

Download or read book New Trends in Data Warehousing and Data Analysis written by Stanisław Kozielski. This book was released on 2008-11-21. Available in PDF, EPUB and Kindle. Book excerpt: Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging. New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP.

Emerging Perspectives on the Mobile Content Evolution

2015-09-21 Technology & Engineering
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Release : 2015-09-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 394/5 ( reviews)

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Book Synopsis Emerging Perspectives on the Mobile Content Evolution by : Aguado, Juan Miguel

Download or read book Emerging Perspectives on the Mobile Content Evolution written by Aguado, Juan Miguel. This book was released on 2015-09-21. Available in PDF, EPUB and Kindle. Book excerpt: In less than a decade, mobile technology has revolutionized our cultures, societies, and economies by impacting both personal and professional aspects of human life. Mobile technology has therefore become the fastest diffusing technology in history, expanding and transforming existent possibilities by making technology accessible and ubiquitous. Emerging Perspectives on the Mobile Content Evolution seeks a better understanding of the centrality of mobile content in the recent and coming evolution of both the ICT ecosystem and the media industry. This publication appeals to a broad audience within the interdisciplinary field of media studies, covering topic areas such as journalism, marketing and advertising, broadcasting, information management, media management, media economics, media- and technology-related public policies, media sociology, audience/consumption studies, and arts. This publication presents a multi-disciplinary discussion through a collection of academic chapters covering topics such as mobile communications and entrepreneurship, reflection on wearables and innovation, personal and mobile healthcare, mobile journalism and innovation, and behavioral targeting in the mobile ecosystem.

Handbook of Research on Big Data Clustering and Machine Learning

2019-10-04 Computers
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Release : 2019-10-04
Genre : Computers
Kind : eBook
Book Rating : 071/5 ( reviews)

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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. This book was released on 2019-10-04. 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.

Big Data Analytics for Sustainable Computing

2019-09-20 Computers
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Release : 2019-09-20
Genre : Computers
Kind : eBook
Book Rating : 522/5 ( reviews)

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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. This book was released on 2019-09-20. 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.

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