Probabilistic Databases - Christoph Koch,Dan Suciu,Dan Olteanu,Christopher Re
-25% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 probabilist ... Täydellinen kuvaus
Saatat myös pitää
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Many Faces, One Purpose: A Managers Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-25% koodilla BOOKS
Loppu
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-25% koodilla BOOKS
Loppu
TOP
How Africa Works: Success and Failure on the World's Last Developmental Frontier
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Thinking in Systems: International Bestseller
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Cybernetics: Second Edition: Or the Control and Communication in the Animal and the Machine
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Empty Vessel: The Story of the Global Economy in One Barge
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
101 Things I Learned in Architecture School
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Einhundert Zitate Female Edition: Ein Postkartenbuch mit 100 Zitaten
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Architektur Berlin, Bd. 15 | Building Berlin, Vol. 15: Baukultur in und aus der Hauptstadt | The latest architecture in and out of the capital
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Only Dull People Are Brilliant at Breakfast
-24% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
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
Lisätietoja
| Kirjoittaja | Christoph Koch, Dan Suciu, Dan Olteanu, Christopher Re |
|---|---|
| Julkaisija | Springer International Publishing |
| Series | Synthesis Lectures on Data Management |
| Julkaisuvuosi | 2011 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783031007514 |