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Cluster Effects in Mining Complex Data

In the last few years, the tremendous growth in the use of clustered survey methods in data mining in the presence of cluster effects has;

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New Frontiers in Mining Complex Patterns

present in such data. The papers are organized in the following sections: data stream mining, classification, mining complex data, and sequences.;

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Cluster Analysis and Applications

analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc;

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Cluster Analysis and Applications

analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc;

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Data Mining and Data Warehousing Principles and Practical Techniques

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single;

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Introduction to Data Mining

Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition, gives a comprehensive;

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Data Fusion and Data Mining for Power System Monitoring

efficient methods to cluster and visualize data collected from multiple sensors are discussed. Both linear and nonlinear data-driven mining and;

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Data Fusion and Data Mining for Power System Monitoring

efficient methods to cluster and visualize data collected from multiple sensors are discussed. Both linear and nonlinear data-driven mining and;

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Data Mining

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;

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New Frontiers in Mining Complex Patterns

were carefully reviewed and selected from numerous submissions. They illustrate advanced data mining techniques which preserve the informative;

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Hybrid Artificial Intelligent Systems

293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining;

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Hybrid Artificial Intelligent Systems

algorithms; hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.;

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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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Hybrid Artificial Intelligent Systems

submissions. They are organized in topical sections on data mining and knowledge discovery; time series; bio-inspired models and evolutionary;

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AdaBoost Extensions for Cost-Sensitive Classification

This book provides a review and a research of a special type of classification technique which is known as cost-sensitive data mining. Cost;

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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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Descriptive Data Mining

This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human;

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Soft Computing for Knowledge Discovery and Data Mining

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It;

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Knowledge Discovery Process and Methods to Enhance Organizational Performance

data mining with other analytic techniques (e.g., data envelopment analysis, cluster analysis, and neural networks) to derive greater value and;

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Data Clustering

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning;

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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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Cluster Randomised Trials

Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to;

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Cluster Randomised Trials

Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to;

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Practical Graph Mining with R

graphs. Hands-On Application of Graph Data Mining Each chapter in the book focuses on a graph mining task, such as link analysis, cluster;

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Recent Advances on Soft Computing and Data Mining

range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations;

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Data Clustering and Image Segmentation Through Genetic Algorithms

study and design of human systems helps provide efficient optimization algorithms. Data Clustering and Image Segmentation Through Genetic;

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Market Research and Modeling: Progress and Prospects

Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.;

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