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Data Mining on Multimedia Data

Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from;

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Multimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;

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Multimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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Advances on Data Mining: Applications and Theoretical Aspects

in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.;

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Machine Learning and Data Mining in Pattern Recognition

specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.;

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Machine Learning and Data Mining in Pattern Recognition

169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data;

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Machine Learning and Data Mining in Pattern Recognition

. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods;

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Advances in Data Mining: Applications and Theoretical Aspects

of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and;

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Advances in Data Mining. Applications and Theoretical Aspects

theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and;

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Advances in Data Mining Applications and Theoretical Aspects

from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture;

Vergelijkbare producten zoals Advances in Data Mining Applications and Theoretical Aspects

Advances in Data Mining: Applications and Theoretical Aspects

range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and;

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Machine Learning and Data Mining in Pattern Recognition

classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image;

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Advances in Data Mining. Applications and Theoretical Aspects

theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control;

Vergelijkbare producten zoals Advances in Data Mining. Applications and Theoretical Aspects

Advances in Data Mining. Applications and Theoretical Aspects

range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and;

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Advances in Knowledge Discovery and Data Mining

learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors;

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Advances in Knowledge Discovery and Data Mining

learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors;

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Data Mining

Perspectives Classification, Clustering, Association Web, Text, Multimedia Mining Late Breaking Papers and Position Papers: Data Mining;

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Advanced Data Mining and Applications

selected from 170 submissions. The papers were organized in topical sections named: Data Mining Foundations; Classification and Clustering Methods;

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Advances in Data Mining. Applications and Theoretical Aspects

presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining, such as on;

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Advances in Knowledge Discovery and Data Mining

unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.;

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Advances in Knowledge Discovery and Data Mining

unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.;

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Advances in Knowledge Discovery and Data Mining

unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.;

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Data Mining from Multimedia and Human Behavioral Data

object recognition/detection problem from views of both computer vision and human vision, with the focus on feature representation. We propose;

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Multimedia Data Mining

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Advances in Knowledge Discovery and Data Mining

; behavioral data mining; graph clustering and community detection; dimensionality reduction.;

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Advances in Knowledge Discovery and Data Mining

; behavioral data mining; graph clustering and community detection; dimensionality reduction.;

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