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Relevant Query Answering over Streaming and Distributed Data

over streaming and distributed data. In recent years, Web applications that combine highly dynamic data streams with data distributed over the Web to;

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Data Stream Management

Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log;

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Flexible Query Answering Systems

; social networks and social media; argumentation-based query answering; data mining and knowledge discovery; advanced flexible query answering;

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Advances in Databases and Information Systems

discovery; indexing, query processing and optimization; data quality and data cleansing; distributed data platforms, including cloud data systems;

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Flexible Query Answering Systems

from 17 submissions. They are organized in the following topical sections: model-based flexible query answering approaches and data-driven;

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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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Database Systems for Advanced Applications

embedding; recommendation; graph and network processing; social network analytics; sequence and temporal data processing; trajectory and streaming;

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Database Systems for Advanced Applications

embedding; recommendation; graph and network processing; social network analytics; sequence and temporal data processing; trajectory and streaming;

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Learning Apache Drill Query and Analyze Distributed Data Sources with SQL

practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this;

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Kafka in Action

, and more. In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache;

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Answering Queries Using Views

that refer to tree-like data and respective query languages. Chapter 8 presents the data model for XML documents and the XPath query language;

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Answering Queries Using Views

that refer to tree-like data and respective query languages. Chapter 8 presents the data model for XML documents and the XPath query language;

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Database and Expert Systems Applications

classification; security, data privacy and consistency; query rewriting and streaming.;

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Database and Expert Systems Applications

classification; security, data privacy and consistency; query rewriting and streaming.;

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Principles of Database Query Processing for Advanced Applications

types of data demand new query processing and optimization techniques. Most real-world data is not well structured. Today's;

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Flexible Query Answering Systems

flexible representations and querying; knowledge discovery and informationdata retrieval; intuitionistic sets; and generalized net model.;

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Database and Expert Systems Applications

High Dimensional Databases; Data Mining; Authenticity, Privacy, Security, and Trust; Data Clustering; Distributed and Big Data Processing;

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Database and Expert Systems Applications

High Dimensional Databases; Data Mining; Authenticity, Privacy, Security, and Trust; Data Clustering; Distributed and Big Data Processing;

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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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Reasoning Web. Semantic Interoperability on the Web

, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII

evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications;

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Querying Graphs

: graph data models, graph query languages and graph query specification, graph constraints, and graph query processing. We conclude by indicating;

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Web Technologies and Applications

Management Social Media Data Analysis Modelling and Learning with Big Data Streaming and Real-time Data Analysis Recommendation System;

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Web Technologies and Applications

and Multimedia Data Management Social Media Data Analysis Modelling and Learning with Big Data Streaming and Real-time Data;

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Distributed Data Systems with Azure Databricks

to use Horovod for distributed deep learning Find out how to use Delta Engine to query and process data from Delta Lake Understand how to;

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Database Repairing and Consistent Query Answering

correct data, as query answers. The consistent data in an inconsistent database is usually characterized as the data that persists across all the;

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Programming Microsoft Sql Server 2008

-level encryption and server auditing Build and maintain data warehouses Use Microsoft Excel to build front ends for OLAP cubes, and MDX to query;

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