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 constitutes the thoroughly refereed post-proceedings of the Third International Workshop on the World Wide Web and Databases, WebDB 2000, held in Dallas, Texas, USA in May 2000. The 16 revised full papers presented together with one invited papers were carefully reviewed and selected after two rounds of reviewing and revision from a total of 69 initial submissions. The papers are organized in topical sections on information gathering, caching, querying in XML, XML structuring and versioning, web modling, query processing, and classification and retrieval.
Data model. Queries. Types. Sysems. A syntax for data. XML.. Query languages. Query languages for XML. Interpretation and advanced features. Typing semistructured data. Query processing. The lore system. Strudel. Database products supporting XML. Bibliography. Index. About the authors.
This book takes the reader on an unbelievable journey of the authors religious experiences. His experiences span over about eighty years and took place in free Romania, Communist Romania, Canada, and especially in the United States of America.
Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Thoroughly revised and reformatted, the sixth edition of Cancer Chemotherapy, Immunotherapy and Biotherapy reflects recent significant changes in cancer treatment. This newly streamlined edition contains full-color illustrations, more tables for quick reference, and new immunotherapy and molecular targeted therapy content that brings you fully up to date with the state of the art in all current cancer therapies.
This is a book about China's grand strategy and its future as an ambitious, declining, and dangerous rival power. Once the darling of U.S. statesmen, corporate elites, and academics, the People's Republic of China has evolved into America's most challenging strategic competitor. Its future appears increasingly dystopian. This book tells the story of how China got to this place and analyzes where it will go next and what that will mean for the future of U.S. strategy. The China Nightmare makes an extraordinarily compelling case that China's future could be dark and the free world must prepare accordingly.
Updated to include the newest drugs and those currently in development, this Fifth Edition is a comprehensive reference on the preclinical and clinical pharmacology of anticancer agents. Organized by drug class, the book provides the latest information on all drugs and biological agents—their mechanisms of action, interactions with other agents, toxicities, side effects, and mechanisms of resistance. The authors explain the rationale for use of drugs in specific schedules and combinations and offer guidelines for dose adjustment in particular situations. This edition's introduction includes timely information on general strategies for drug usage, the science of drug discovery and development, economic and regulatory aspects of cancer drug development, and principles of pharmacokinetics. Eight new chapters have been added and more than twenty have been significantly revised. A companion website includes the fully searchable text and an image bank.
Based in part on chapters from the now out of print ROUGH GUIDE TO EASTERN EUROPE, a travel guide to post-Ceaucescu Romania, which offers practical, cultural, political and historical information on the country.
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 constitutes the thoroughly refereed post-proceedings of the Third International Workshop on the World Wide Web and Databases, WebDB 2000, held in Dallas, Texas, USA in May 2000. The 16 revised full papers presented together with one invited papers were carefully reviewed and selected after two rounds of reviewing and revision from a total of 69 initial submissions. The papers are organized in topical sections on information gathering, caching, querying in XML, XML structuring and versioning, web modling, query processing, and classification and retrieval.
This monograph reviews some of the recent theoretical results on efficient data processing on large distributed architectures, as well as some of the relevant classical results on parallel sorting and parallel matrix multiplication.
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