Probabilistic Databases

Name: Probabilistic Databases
Brand: Morgan and Claypool Publishers
SKU: 6049175959
Price: 1626 RUB
Availability: InStock

Артикул Маркета

6049175959

ISBN

9781608456802

Обложка

мягкий

Бумага

офсетная

Внешний вид товаров и/или упаковки может быть изменён изготовителем и отличаться от изображенных на Яндекс Маркете.

Все характеристики

Пэй

3 079 ₽

–47%

–200 ₽

С доставкой по клику

Заказ от 1500₽

Probabilistic Databases

Задать вопрос

Пэй

3 079 ₽

–47%

Доставка Маркета

28 сен, по клику 0 ₽

Москва

28 сен, пункт выдачи 0 ₽

Москва

Быстрый возврат

О возвратах

Т8 Издательские Технологии

Магазин

4.7 1.2K оценок

19Kзаказов

589подписчиков

6лет на Маркете

О товаре

Описание

Печатная книга «Probabilistic Databases» в мягкой обложке, язык - английский. В книге 182 страниц, она напечатана на белой офсетной бумаге плотностью 80 г/м². Формат издания — 191x235 мм. Все книги аккуратно упаковываем в прочный трехслойный сейф-пакет.
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