Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluation of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced Techniques
This book presents the most important methods used for the design of digital controls implemented in industrial applications. The best modelling and identification techniques for dynamical systems are presented as well as the algorithms for the implementation of the modern solutions of process control. The proposed described methods are illustrated by various case studies for the main industrial sectors There exist a number of books related each one to a single type of control, yet usually without comparisons for various industrial sectors. Some other books present modelling and identification methods or signal processing. This book presents the methods to solve all the problems linked to the design of a process control without the need to find additional information.
Following the Communist takeover of Romania in 1945, Dr. Stanciu Stroia refused to join the party, suffering professional humiliation and political persecution. He was arrested in 1951 and sentenced to seven years in prison; his estate was nationalized, his family exiled, and his practice confiscated. Ill with scurvy, he survived the prison ordeal and wrote his memoir, despite the risk of being detained again. "Stanciu Stroia's fortitude is astonishing...My Second University has an important place in the prison literature published since 1989." - Keith Hitchins, Professor of History, University of Illinois "An utterly impressive prison memoir...a most necessary and valuable contribution to our understanding of the survival of human dignity under conditions of abysmal pressure." - Vladimir Tismaneanu, Professor of Government and Politics, University of Maryland My Second University will take readers back to another place in time, in another country, seeing life through the eyes of a courageous man and others who chose to suffer rather than give up their freedom...It is a piece of history necessary to consume, necessary to remember." - Times Mail (Bedford, Indiana) With thirty-six pages of original photographs and one thousand never-before-published names of political detainees. For more information, please visit the author web site at http://DDusleag.Home.Insightbb.com.
Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluation of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced Techniques
Dan Lovett was an important part of Eyewitness News history. Al Primo, founder of the original Eyewitness News at WABC-TV in 1968 in New York Dan has always had a great passion for sports, and his knowledge comes crystal clear in this book. Plus, anybody with hair that good has to have something going just below it. Ron Franklin, former lead college football broadcaster on ESPN A mans man in the true sense of the word. He has the unmatched ability to put your mind into his story. A legendary storyteller; plus, he is a great friend and gentleman. Dan Pastorini, former Houston Oilers quarterback I tossed him out of my garage in gasoline alley at Indy, but felt bad about it because he was from my hometown. Dan came around and showed me he wanted to learn about racing. He is a great broadcaster and cares about my sport. A. J. Foyt, first four-time winner of the Indianapolis 500 I knew when I first hired him he would be a great broadcaster on the radio. He could talk about the farm report and make it the most important story of the day. Curt Brown, member of the Missouri Broadcasters Hall of Fame Dan knows how to tell the story in this book. If you like sports, youll Lovett. Sam Huff, hall of fame linebacker of the Giants and Redskins
Gathers letters written between Dan Rowan, the popular TV comedian, and John D. MacDonald, the mystery writer, and provides a behind-the-scenes look at network television
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.