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Discovery And Fusion Of Uncertain Knowledge In Data

discovery, inference and data fusion in uncertain environment.;

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Knowledge Discovery from Sensor Data

challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It;

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Knowledge Discovery in Databases

is concerned with discovery from large amounts of possible uncertain data. Its techniques range from statistics to the use of domain knowledge to;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and;

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Foundations of Information and Knowledge Systems

submissions. The papers address various topics such as big data; database design; dynamics of information; information fusion; integrity and;

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Data Fusion Methodology and Applications

Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts;

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Multisensor Data Fusion

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice;

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Multisensor Data Fusion

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice;

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Foundations of Information and Knowledge Systems

fusion; integrity and constraint management; intelligent agents; knowledge discovery and information retrieval; knowledge representation;

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Uncertainty Handling and Quality Assessment in Data Mining

fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Foundations of Information and Knowledge Systems

fusion, integrity and constraint management, intelligent agents, knowledge discovery and information retrieval, knowledge representation;

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Data Warehousing and Knowledge Discovery

Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their;

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Knowledge Discovery from Multi-Sourced Data

This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning;

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Data Mining Methods for Knowledge Discovery

chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate;

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Bioinformation Discovery

Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and;

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Knowledge Discovery from Data Streams

Exploring how to extract knowledge structures from evolving and time-changingdata, "Knowledge Discovery from Data Streams" presents a;

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Advances in Knowledge Discovery and Data Mining

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and;

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Advances in Knowledge Discovery and Data Mining

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and;

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Advances in Knowledge Discovery and Data Mining

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and;

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Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management

, professionals, and researchers in fields that include artificial intelligence, knowledge discovery, data visualization, big data, and information;

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Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management

, professionals, and researchers in fields that include artificial intelligence, knowledge discovery, data visualization, big data, and information;

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Big Data Analytics and Knowledge Discovery

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be;

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A Knowledge Matrix Modeling of the Intelligence Cycle

methodology. The knowledge matrix methodology takes explicit data from multiple sources and fuses that data to measure a current level of knowledge;

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Scalable Uncertainty Management

. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent;

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