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Distributed Data Mining and Mining Multi-Agent Data

is how to mine across multiple heterogeneous data sources: multi-database and multi-relational mining. Another important new area is adversary;

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Advances in Knowledge Discovery and Data Mining

multi-mediamulti-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal;

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Advances in Knowledge Discovery and Data Mining

multi-mediamulti-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal;

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Autonomous Intelligent Systems: Agents and Data Mining

technologies of Arti?cial Intelligence. Modern AIS incorporate multi-agent and data mining;

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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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Advanced Data Mining and Applications

submissions. The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining;

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Service-Oriented Distributed Knowledge Discovery

unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures;

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Service-Oriented Distributed Knowledge Discovery

unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures;

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Intelligent Distributed Computing XIII

Learning, Multi-agent and Service-Based Distributed Systems, Distributed Algorithms and Optimization, Modeling Operational Processes, Social;

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Agents and Multi-Agent Systems for Health Care

agents that retrieve medical information from distributed repositories, intelligent and distributed data mining, and multi-agent systems that;

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Data Mining for Social Network Data

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved;

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Mobility Data Management and Exploration

This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a;

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Machine Learning and Data Mining in Pattern Recognition

data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.;

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Cube Based Incremental Data Mining

This work presents a cube-based approach for incremental data mining that operates on the data, rather than on the data mining algorithms;

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Next Generation of Data Mining

of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed;

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Next Generation of Data Mining

of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed;

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Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;

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Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;

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Data Mining

examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the;

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Data Mining

examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the;

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Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017;

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Application of Intelligent Systems in Multi-modal Information Analytics

technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi;

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Application of Intelligent Systems in Multi-modal Information Analytics

. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and;

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Application of Intelligent Systems in Multi-modal Information Analytics

. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and;

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Application of Intelligent Systems in Multi-modal Information Analytics

technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi;

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Machine Learning and Data Mining in Pattern Recognition

, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video;

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Swarm Intelligence Based Optimization

learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications;

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