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Applications and Developments in Semantic Process Mining

. Applications and Developments in Semantic Process Mining is an essential reference source that discusses the improvement of process mining algorithms;

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Applications and Developments in Semantic Process Mining

. Applications and Developments in Semantic Process Mining is an essential reference source that discusses the improvement of process mining algorithms;

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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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Advances in Databases and Information Systems

technologies, semantic data processing, and data modeling. They are organized in the following topical sections: data mining; machine learning;

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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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Database and Expert Systems Applications

Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse;

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Database and Expert Systems Applications

Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse;

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Complex Pattern Mining: New Challenges, Methods and Applications

This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data;

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Data Mining: Foundations and Intelligent Paradigms

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING;

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Process Mining in Action

This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing;

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Process Mining in Action

This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing;

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Database Systems for Advanced Applications

scalability, memory-based query processing, semantic and decision support systems, social data, data mining.;

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Complex Pattern Mining

This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data;

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Semantic Web for the Working Ontologist

Semantic Web. Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing;

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Data Mining: Foundations and Intelligent Paradigms

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING;

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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;

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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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Semantic Applications

implicitly use the semantics, i.e. the meaning of a domain terminology, in order to improve usability, correctness, and completeness. An example;

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Semantic Applications

implicitly use the semantics, i.e. the meaning of a domain terminology, in order to improve usability, correctness, and completeness. An example;

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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

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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Data Mining Tools for Malware Detection

mining Includes four appendices that provide a firm foundation in data management, secure systems, and the semantic web Describes the authors;

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Foundations of Intelligent Systems

and selected from 67 submissions. The papers are organized in topical sections on data mining methods; databases, information retrieval;

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Data Mining Models

benefits of data mining in business, the process and typical business applications, the workings of basic data mining models, and demonstrate each;

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