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New Frontiers in Applied Data Mining

application of data mining techniques to new frontiers. Thus the title of the proceedings: New Frontiers in Application of Data Mining. For the 2008;

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New Frontiers in Mining Complex Patterns

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on New Frontiers in Mining;

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New Frontiers in Mining Complex Patterns

This book constitutes the refereed post-conference proceedings of the 8th International Workshop on New Frontiers in Mining Complex;

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New Frontiers in Mining Complex Patterns

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on New Frontiers in Mining;

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New Frontiers in Mining Complex Patterns

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on New Frontiers in Mining;

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Data Mining

, the book covers the trends, applications, and research frontiers in data mining. Presents a comprehensive new chapter on deep;

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Applied Data Mining

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging;

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Cube Based Incremental Data Mining

affected by the new data. Yet, the fact that we used the original data mining algorithms on the cube-based data makes our incremental data mining;

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Educational Improvement Through Data Mining & Analytics

data mining) are starting to be applied in education. The book examines the challenges being encountered and the potential of such efforts for;

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New Frontiers in Mining Complex Patterns

International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2016, held in conjunction with ECML-PKDD 2016 in Riva del Garda, Italy;

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Advanced Text Mining and Applied Principles

This book discusses the topic of advanced text mining and applied principles in detail. Due to the development of computer and web;

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Modern Approaches of Data Mining: Theory and Practice

. Hybrid approaches are new and included in this text. Application to intrusion detection attracts more researchers to this. Recently, Data Mining;

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Data Mining

submissions. The papers are organized in topical sections on classification task; transport, environment, and energy; applied data mining; privacy and;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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Data Mining Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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Data Mining Techniques In Crm

This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business;

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Linear Algebra Tools For Data Mining

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear;

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Data Mining for Biomarker Discovery

informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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Process Mining and Network Protocols

(Informatik & Security), language: English, abstract: Process mining is the binding link between computational intelligence, data mining, process;

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Quality Aspects in Spatial Data Mining

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial progress has been made toward developing;

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Quality Aspects in Spatial Data Mining

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial progress has been made toward developing;

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Customer And Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;

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Customer and Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;

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Advances on Data Mining: Applications and Theoretical Aspects

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA;

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Querying And Mining Uncertain Data Streams

. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential;

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Querying And Mining Uncertain Data Streams

. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential;

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