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Query Processing over Uncertain Databases

uncertain data, and finally discuss the advanced query processing techniques for various probabilistic queries in uncertain databases. The book;

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Query Processing over Uncertain Databases

uncertain data, and finally discuss the advanced query processing techniques for various probabilistic queries in uncertain databases. The book;

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Probabilistic Databases

Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with;

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Probabilistic Databases

Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with;

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Probabilistic Ranking Techniques in Relational Databases

ranking techniques focus on deterministic data, several emerging applications involve data that are imprecise or uncertain. Ranking uncertain data;

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Principles of Database Query Processing for Advanced Applications

The aim of query processing is to find information in one or more databases and deliver it to the user quickly and efficiently;

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Probabilistic Ranking Techniques in Relational Databases

ranking techniques focus on deterministic data, several emerging applications involve data that are imprecise or uncertain. Ranking uncertain data;

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High-Performance Parallel Database Processing and Grid Databases

aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models;

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Query Processing over Incomplete Databases

in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set;

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Datalog and Recursive Query Processing

. Datalog and Recursive Query Processing surveys for a general audience the Datalog language, recursive query processing, and optimization;

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Advances in Databases and Information Systems

; subsequence matching and streaming data; OLAP; graph databases; spatial data management; parallel and distributed data processing; query optimization;

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Query Processing on Probabilistic Data

Probabilistic data is motivated by the need to model uncertainty in large databases. Over the last twenty years or so, both the Database;

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Database and Expert Systems Applications

; uncertain data and inconsistency tolerance; database system architecture; data mining, query processing and optimization; indexing and decision;

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Database and Expert Systems Applications

; uncertain data and inconsistency tolerance; database system architecture; data mining, query processing and optimization; indexing and decision;

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Spatio-Temporal Databases

real and synthetic spatio-temporal databases. This clear evaluation of new query processing techniques makes Spatio-Temporal Database a;

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Database Systems for Advanced Applications

management; indexing and distributed systems; network embedding; trajectory and time series data processing; data mining; query processing and;

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Database Systems for Advanced Applications

; indexing and distributed systems; network embedding; trajectory and time series data processing; data mining; query processing and optimization;

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Big Data

This book constitutes the thoroughly refereed post-conference proceedings of the 29th British National Conference on Databases, BNCOD 2013;

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Advances in Databases and Information Systems

This book constitutes the thoroughly refereed proceedings of the 19th East European Conference on Advances in Databases and Information;

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Database Systems for Advanced Applications

; index; query analysis; XML data management; privacy protection; and uncertain data management; and in part 2: graph data management; physical;

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Database Systems for Advanced Applications

; index; query analysis; XML data management; privacy protection; and uncertain data management; and in part 2: graph data management; physical;

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Advances in Databases and Information Systems

This book constitutes the proceedings of the 22nd European Conference on Advances in Databases and Information Systems, ADBIS 2018, held;

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Querying Graphs

concise unified view on the basic challenges which arise over the complete life cycle of formulating and processing queries on graph databases. To;

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Model and Data Engineering

, concurrent systems, machine learning, swarm optimization, query processing, semantic web, graph databases, formal methods, model-driven engineering;

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Database Management Systems

, database integrity, database security, transaction and query management in the relation databases, and NoSQL databases. Section 1 focuses on;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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