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101 "e;Insanely Great"e; Resources -- BIG DATA is an easy-to-use introduction to the world of Big Data, particularly to 101 important resources for understanding the topic. It is filled with embedded links that take you directly to the Big Data section of a particular resources or to more specific sites such as Data Science Central or journals.
Book Synopsis 101 "e;Insanely Great"e; Resources -- Big Data by : Benjamin Kerschberg
Download or read book 101 "e;Insanely Great"e; Resources -- Big Data written by Benjamin Kerschberg and published by eBook Partnership. This book was released on 2014-04-03 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: 101 "e;Insanely Great"e; Resources -- BIG DATA is an easy-to-use introduction to the world of Big Data, particularly to 101 important resources for understanding the topic. It is filled with embedded links that take you directly to the Big Data section of a particular resources or to more specific sites such as Data Science Central or journals.
I'm not a racist, but... You look good, for your age... She was asking for it... You're crazy... That's so gay... Have you ever wondered why certain language has the power to offend? It is often difficult to recognize the veiled racism, sexism, ageism (and other –isms) that hide in our everyday discourse. This book sheds light on the derogatory phrases, insults, slurs, stereotypes, tropes and more that make up linguistic discrimination. Each chapter addresses a different area of prejudice: race and ethnicity; gender identity; sexuality; religion; health and disability; physical appearance; and age. Drawing on hot button topics and real-life case studies, and delving into the history of offensive terms, a vivid picture of modern discrimination in language emerges. By identifying offensive language, both overt and hidden, past and present, we uncover vast amounts about our own attitudes, beliefs and values and reveal exactly how and why words can offend.
Book Synopsis On the Offensive by : Karen Stollznow
Download or read book On the Offensive written by Karen Stollznow and published by Cambridge University Press. This book was released on 2020-10-15 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: I'm not a racist, but... You look good, for your age... She was asking for it... You're crazy... That's so gay... Have you ever wondered why certain language has the power to offend? It is often difficult to recognize the veiled racism, sexism, ageism (and other –isms) that hide in our everyday discourse. This book sheds light on the derogatory phrases, insults, slurs, stereotypes, tropes and more that make up linguistic discrimination. Each chapter addresses a different area of prejudice: race and ethnicity; gender identity; sexuality; religion; health and disability; physical appearance; and age. Drawing on hot button topics and real-life case studies, and delving into the history of offensive terms, a vivid picture of modern discrimination in language emerges. By identifying offensive language, both overt and hidden, past and present, we uncover vast amounts about our own attitudes, beliefs and values and reveal exactly how and why words can offend.
2012 International Conference on Affective Computing and Intelligent Interaction (ICACII 2012) was the most comprehensive conference focused on the various aspects of advances in Affective Computing and Intelligent Interaction. The conference provided a rare opportunity to bring together worldwide academic researchers and practitioners for exchanging the latest developments and applications in this field such as Intelligent Computing, Affective Computing, Machine Learning, Business Intelligence and HCI. This volume is a collection of 119 papers selected from 410 submissions from universities and industries all over the world, based on their quality and relevancy to the conference. All of the papers have been peer-reviewed by selected experts.
Book Synopsis Affective Computing and Intelligent Interaction by : Jia Luo
Download or read book Affective Computing and Intelligent Interaction written by Jia Luo and published by Springer Science & Business Media. This book was released on 2012-01-25 with total page 914 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2012 International Conference on Affective Computing and Intelligent Interaction (ICACII 2012) was the most comprehensive conference focused on the various aspects of advances in Affective Computing and Intelligent Interaction. The conference provided a rare opportunity to bring together worldwide academic researchers and practitioners for exchanging the latest developments and applications in this field such as Intelligent Computing, Affective Computing, Machine Learning, Business Intelligence and HCI. This volume is a collection of 119 papers selected from 410 submissions from universities and industries all over the world, based on their quality and relevancy to the conference. All of the papers have been peer-reviewed by selected experts.
Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.
Book Synopsis Resource Management for Big Data Platforms by : Florin Pop
Download or read book Resource Management for Big Data Platforms written by Florin Pop and published by Springer. This book was released on 2016-10-27 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.
Why a book about logs? That’s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses—data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models. Go ahead and take the plunge with logs; you’re going love them. Learn how logs are used for programmatic access in databases and distributed systems Discover solutions to the huge data integration problem when more data of more varieties meet more systems Understand why logs are at the heart of real-time stream processing Learn the role of a log in the internals of online data systems Explore how Jay Kreps applies these ideas to his own work on data infrastructure systems at LinkedIn
Book Synopsis I Heart Logs by : Jay Kreps
Download or read book I Heart Logs written by Jay Kreps and published by "O'Reilly Media, Inc.". This book was released on 2014-09-23 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why a book about logs? That’s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses—data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models. Go ahead and take the plunge with logs; you’re going love them. Learn how logs are used for programmatic access in databases and distributed systems Discover solutions to the huge data integration problem when more data of more varieties meet more systems Understand why logs are at the heart of real-time stream processing Learn the role of a log in the internals of online data systems Explore how Jay Kreps applies these ideas to his own work on data infrastructure systems at LinkedIn
The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
Book Synopsis Analytics in a Big Data World by : Bart Baesens
Download or read book Analytics in a Big Data World written by Bart Baesens and published by John Wiley & Sons. This book was released on 2014-04-15 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources
Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Governing Intellectual Property Rights Within Publicly Funded Biobanks R. Neethu The boom in biobanks and health databases as research infrastructures have evoked various legal and ethical debates. Since then numerous new developments have emerged such as digitalization, big-data research and artificial intelligence which has important implications for biobank-based research and collaborations. This new paradigm offers new legal challenges for commercial involvement particularly within a publicly funded setting. In this innovative book, the author shows that securing maximum social benefit out of the knowledge emanating from the use of biobank resources lies in managing intellectual property inputs and outputs effectively in keeping with the values core to such research. Focusing on the challenges of involving intellectual property rights (IPRs) particularly in the precompetitive phase of biobank-based research, the book offers an extensive understanding of the role of different IPRs and identifies the gaps in the law and its implications for biobanks. The analysis covers important aspects in relation to biobanks such as: Digital integration and biomedical data storage; Ownership of biological samples; Commercialization and benefit sharing; Partnership models; Public sector research; Disposition of samples; Consent; Cross-border exchange; Trade secrecy; Privacy; Regulatory stewardship; Business strategies; Ethical considerations over biological resources; Patenting of inventions relating to personalized medicine; Ethical parameters within patent law; and Rights regarding genetic data and databases. The book includes observations, case studies and interviews conducted by the author. In conclusion, the author offers cogent recommendations for legal interoperability of IP rules and research practices designed to enhance the ability of biobanks to share, access and reuse data. This book is the first of its kind to explore the organizational and legislative choices for biobanks particularly while engaging in the protection of research results and technology transfer within a publicly funded setting. It will be of substantial interest to all stakeholders in biobanking, especially policymakers, biobankers and researchers working in the field of health law as well as for legal practitioners, academics and patient interest groups.
Book Synopsis Governing Intellectual Property Rights Within Publicly Funded Biobanks by : Rajam Neethu
Download or read book Governing Intellectual Property Rights Within Publicly Funded Biobanks written by Rajam Neethu and published by Kluwer Law International B.V.. This book was released on 2019-06-21 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Governing Intellectual Property Rights Within Publicly Funded Biobanks R. Neethu The boom in biobanks and health databases as research infrastructures have evoked various legal and ethical debates. Since then numerous new developments have emerged such as digitalization, big-data research and artificial intelligence which has important implications for biobank-based research and collaborations. This new paradigm offers new legal challenges for commercial involvement particularly within a publicly funded setting. In this innovative book, the author shows that securing maximum social benefit out of the knowledge emanating from the use of biobank resources lies in managing intellectual property inputs and outputs effectively in keeping with the values core to such research. Focusing on the challenges of involving intellectual property rights (IPRs) particularly in the precompetitive phase of biobank-based research, the book offers an extensive understanding of the role of different IPRs and identifies the gaps in the law and its implications for biobanks. The analysis covers important aspects in relation to biobanks such as: Digital integration and biomedical data storage; Ownership of biological samples; Commercialization and benefit sharing; Partnership models; Public sector research; Disposition of samples; Consent; Cross-border exchange; Trade secrecy; Privacy; Regulatory stewardship; Business strategies; Ethical considerations over biological resources; Patenting of inventions relating to personalized medicine; Ethical parameters within patent law; and Rights regarding genetic data and databases. The book includes observations, case studies and interviews conducted by the author. In conclusion, the author offers cogent recommendations for legal interoperability of IP rules and research practices designed to enhance the ability of biobanks to share, access and reuse data. This book is the first of its kind to explore the organizational and legislative choices for biobanks particularly while engaging in the protection of research results and technology transfer within a publicly funded setting. It will be of substantial interest to all stakeholders in biobanking, especially policymakers, biobankers and researchers working in the field of health law as well as for legal practitioners, academics and patient interest groups.
It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.
Book Synopsis It's All Analytics! by : Scott Burk
Download or read book It's All Analytics! written by Scott Burk and published by CRC Press. This book was released on 2020-05-25 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.
The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.
Book Synopsis Handbook of Research on Big Data and the IoT by : Kaur, Gurjit
Download or read book Handbook of Research on Big Data and the IoT written by Kaur, Gurjit and published by IGI Global. This book was released on 2019-03-29 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.
