The Handbook of Vacuum Technology consists of the latest innovations in vacuum science and technology with a strong orientation towards the vacuum practitioner. It covers many of the new vacuum pumps, materials, equipment, and applications. It also details the design and maintenance of modern vacuum systems. The authors are well known experts in their individual fields with the emphasis on performance, limitations, and applications rather than theory. There aremany useful tables, charts, and figures that will be of use to the practitioner. - User oriented with many useful tables, charts, and figures of use to the practitioner - Reviews new vacuum materials and equipment - Illustrates the design and maintenance of modern vacuum systems - Includes well referenced chapters
Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field. Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS Visual Text Analytics. By integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS compared to standard approaches, and show how approaching text as qualitative data within a quantitative analytics framework produces more detailed, accurate, and explanatory results. Understand the role of linguistics, machine learning, and multiple data sources in the text analytics workflow Understand how a range of quantitative algorithms and data representations reflect contextual effects to shape meaning and understanding Access online data and code repositories, videos, tutorials, and case studies Learn how SAS extends quantitative algorithms to produce expanded text analytics capabilities Redefine text in terms of data for more accurate analysis This book offers a thorough introduction to the framework and dynamics of text analytics—and the underlying principles at work—and provides an in-depth examination of the interplay between qualitative-linguistic and quantitative, data-driven aspects of data analysis. The treatment begins with a discussion on expression parsing and detection and provides insight into the core principles and practices of text parsing, theme, and topic detection. It includes advanced topics such as contextual effects in numeric and textual data manipulation, fine-tuning text meaning and disambiguation. As the first resource to leverage the power of SAS for text analytics, Text as Data is an essential resource for SAS users and data scientists in any industry or academic application.
This book provides an accurate evaluation of re-integration of Eurasia in the context of India’s energy security and diplomacy which requires a normative shift as in the current Eurasian geopolitical and geo-economic matrix, the growing role of transit countries and their proximity with the Energy Complex Zone negates the fact that great powers or strong states control the Eurasian Heartland. Authors believe that wrecking this norm is fundamental here to deconstruct the undercurrents of energy geopolitics prevailing in Eurasia over the emerging phenomenon, as it discourages the re-integration of the Eurasian region. It explores how the geopolitical struggle between major powers for energy resources has been engendering mutual interdependencies between energy producers and transit countries. It makes an attempt to provide a transcontinental study of Eurasian energy and connectivity as a thrust area for the present work positioning Eurasia in Indian foreign policy, determining the contours of energy diplomacy in connection with the Eurasian energy policy. It defines Eurasia broadly as the region that encompasses Central Asia and the Caucasus including Russia and transit countries. It addresses the geopolitical and geo-economic aspects of Eurasian re-integration in the context of India’s energy security. The objective of this book is to combine theoretical, contemporary, and policy-oriented issues that deserve scholarly attention and would both complement and supplement the academic contributions.
This book looks at the emerging power dynamics in the Indo-Pacific region and locates India and its interests within the overarching geostrategic framework. With US and China emerging as leading players within the region, the book analyses the challenges to India’s foreign policy in the face of new alliances, counter-alliances, and great power equations that have formed after the Cold War. It discusses important issues such as China’s strategic forays in the Indian Ocean, the balance of power between countries, India’s Act East opportunities, Russia’s re-engagement in the region, the South China Sea dispute, India’s maritime strategy, and the conundrum of the Quadrilateral Security Dialogue facing India. A comprehensive study of the changing geopolitical and geostrategic environment of the Indo-Pacific region, the book will be an essential read for scholars and researchers of international relations, global politics, foreign policy, maritime studies, Chinese studies, South Asian studies, geopolitics, and strategic studies.
Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field. Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS Visual Text Analytics. By integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS compared to standard approaches, and show how approaching text as qualitative data within a quantitative analytics framework produces more detailed, accurate, and explanatory results. Understand the role of linguistics, machine learning, and multiple data sources in the text analytics workflow Understand how a range of quantitative algorithms and data representations reflect contextual effects to shape meaning and understanding Access online data and code repositories, videos, tutorials, and case studies Learn how SAS extends quantitative algorithms to produce expanded text analytics capabilities Redefine text in terms of data for more accurate analysis This book offers a thorough introduction to the framework and dynamics of text analytics—and the underlying principles at work—and provides an in-depth examination of the interplay between qualitative-linguistic and quantitative, data-driven aspects of data analysis. The treatment begins with a discussion on expression parsing and detection and provides insight into the core principles and practices of text parsing, theme, and topic detection. It includes advanced topics such as contextual effects in numeric and textual data manipulation, fine-tuning text meaning and disambiguation. As the first resource to leverage the power of SAS for text analytics, Text as Data is an essential resource for SAS users and data scientists in any industry or academic application.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.