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Data Mining In Time Series Databases

mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods;

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Data Mining Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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Data Mining with Microsoft SQL Server 2008

major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more;

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Time Series Databases - New Ways to Store and Acces Data

effective ways to collect, persist, and access large-scale time series data for analysis. You'll explore the theory behind time series databases and;

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Internet Computing and Big Data

Related Issues Game Technologies, Big Data, Web Mining, Databases, Resource Discovery and Web Services, Time-Series Analysis, and Data Warehouses;

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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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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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Data Mining for Bioinformatics

techniques. Introducing the various data mining techniques that can be employed in biological databases, the text is organized into four sections;

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Data Mining for Bioinformatics

techniques. Introducing the various data mining techniques that can be employed in biological databases, the text is organized into four sections;

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Foundations of Computational Intelligence 04

Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances;

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Advances in Databases and Information Systems

; document and text databases; big data; novel applications; ontologies and knowledge management; process mining and stream processing; data quality;

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Knowledge Discovery in Multiple Databases

Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data;

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Database and Expert Systems Applications: 29th International Conference, Dexa 2018, Regensburg, Germany, September 3-6, 2018, Proceedings, Part I

system architecture and performance; novel database solutions; graph querying and databases; learning; emerging applications; data mining;

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Machine Learning and Data Mining

Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data;

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Advances in Data and Web Management

, P2P systems, sensor networks, spatial and temporal databases, Web mining, XML and semi-structured data, privacy and security, as well as data;

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Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis

analysis; artificial intelligence, data mining and knowledge discovery; image analysis and multimedia mining; bioinformatics and biomedical data;

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Contemporary Perspectives in Data Mining

The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Contemporary Perspectives in Data Mining

The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Contemporary Perspectives in Data Mining, Volume 3

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Data Mining and Decision Support

Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area;

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Data Analytics

, data mining and knowledge discovery, graph data and knowledge graphs, intelligent data analysis, approximate and flexible querying, data;

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Advanced Data Mining

This book consists of advanced information regarding data mining and their applications. It offers to aid data miners, researchers;

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Time Granularities in Databases, Data Mining, and Temporal Reasoning

. Practitioners can learn about critical aspects that must be taken into account when designing and implementing databases supporting temporal information.;

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Contemporary Perspectives in Data Mining

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Contemporary Perspectives in Data Mining

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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