A Handbook Of Small Data Sets Download
'Summing up, the Handbook of Small Data Sets is most welcome from a teaching as well as computational statistics point of view. The authors have to be congratulated on their idea and their effort to produce this volume and data disk. Also, the layout of the book is very satisfying. It should be on the shelf of most of us.' -Statistics and Computing.
The Garland Science website is no longer available to access and you have been automatically redirected to CRCPress.com. INSTRUCTORSAll instructor resources (.see Exceptions) are now available on our. Reviews'A scan of the titles in the data structure index or the keywords in the subject index is a visit to an exotic bazaar, laden with fascinating trinkets from the storehouse of human curiosity and ingenuity. I cannot wait to use the book in my teaching.' -Short Book Reviews'Statistics teachers often want a set of illustrative data and may resort to inventing an artificial data set.
There is no longer any need to do this!I suspect that me teachers will want to have their own copy of this book and there should certainly be a copy available in your library.' - Journal of the Royal Statistical Society'Summing up, the Handbook of Small Data Sets is most welcome from a teaching as well as computational statistics point of view. The authors have to be congratulated on their idea and their effort to produce this volume and data disk. Also, the layout of the book is very satisfying. It should be on the shelf of most of us.'
Download Free Data Sets
-Statistics and Computing. CRC Press eBooks are available through VitalSource. The free VitalSource Bookshelf® application allows you to access to your eBooks whenever and wherever you choose. Mobile/eReaders – Download the Bookshelf mobile app at VitalSource.com or from the iTunes or Android store to access your eBooks from your mobile device or eReader. Offline Computer – Download Bookshelf software to your desktop so you can view your eBooks with or without Internet access.
». ». »Most VitalSource eBooks are available in a reflowable EPUB format which allows you to resize text to suit you and enables other accessibility features. Where the content of the eBook requires a specific layout, or contains maths or other special characters, the eBook will be available in PDF (PBK) format, which cannot be reflowed.
For both formats the functionality available will depend on how you access the ebook (via Bookshelf Online in your browser or via the Bookshelf app on your PC or mobile device).
Handbook of Big Data Technologies Book Description:This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of technologies including data curation mechanisms, data models, storage models, programming models and programming platforms.
It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques.Part Three presents a comprehensive overview of large scale graph processing.
It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains.Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.
From the Back CoverThis handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems.Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques.Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems.
All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains.Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades.
Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field. About the AuthorAlbert Zomaya is the Chair Professor of High Performance Computing & Networking in the School of Information Technologies, University of Sydney.
Zomaya published more than 500 scientific papers and articles and is author, co-author or editor of more than 20 books. He served as the Editor in Chief of the IEEE Transactions on Computers (2011-2014) and was elected recently as a Founding Editor in Chief for the newly established IEEE Transactions on Sustainable Computing. Zomaya also serves as an associate editor for more than 20 leading journals. He is Fellow of AAAS, IEEE, and IET.Sherif Sakr is currently a professor of computer and information science in the Health Informatics department at King Saud bin Abdulaziz University for Health Sciences. He is also affiliated with the University of New South Wales and DATA61/CSIRO. He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. Sakr held visiting appointments in several academic and research institutes including Microsoft Research (2011), Alcatel-Lucent Bell Labs (2012), University of Zurich (2016) and TU Dresden (2016).
Big Data
His current research is revolved around advanced big data management and processing technologies. In addition to his dozens of peer-reviewed articles in reputable conferences and journals, he is the author and editor of several valuable books in this domain.