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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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Data Mining on Multimedia Data

numerical data, nowadays multimedia and Internet applications drive the need to develop data mining methods and techniques that can work on all;

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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

algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics;

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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

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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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

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

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

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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;

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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;

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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 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 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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Mining Multimedia Documents

Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It;

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Advances in Data Mining. Applications and Theoretical Aspects

This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de;

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5th International Symposium on Data Mining Applications

, algorithms, models, and theory.* Text Mining: Semantic analysis and mining text in Arabic, semi-structured, streaming, multimedia data.* Framework;

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Advanced Data Mining and Applications

; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical;

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Big Data Analytics for Large-Scale Multimedia Search

collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy;

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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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Advances in Intelligent Information Hiding and Multimedia Signal Processing

of Information Technology (IT) including information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial;

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Advances in Intelligent Information Hiding and Multimedia Signal Processing

of Information Technology (IT) including information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial;

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Intelligent Science and Intelligent Data Engineering

; knowledge discovery, data mining, and web mining; graphics and computer visualization; and multimedia processing and applications.;

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