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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex;

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Pattern Recognition And Big Data

provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern;

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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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Computational Intelligence in Pattern Recognition

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft;

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Matrix Methods in Data Mining and Pattern Recognition

Mining and Pattern Recognition, Second Edition is primarily for undergraduate students who have previously taken an introductory scientific;

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Machine Learning and Data Mining in Pattern Recognition

and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two;

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining;

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Data Mining Concept Animation Library

Library. Potential users for this library can be future students and instructor of a data mining class. The various types of data 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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Kernel Methods for Pattern Analysis

application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed from lectures and;

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Evolutionary Synthesis of Pattern Recognition Systems

in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data;

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Preference-based Spatial Co-location Pattern Mining

' recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining;

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Data Complexity in Pattern Recognition

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its;

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Data Complexity in Pattern Recognition

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its;

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Genetic Algorithms for Pattern Recognition

presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.;

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Genetic Algorithms for Pattern Recognition

presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held;

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Introduction to Pattern Recognition

, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern;

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Data Clustering and Image Segmentation Through Genetic Algorithms

mining, computer vision, image processing, and pattern recognition, as well as methods of designing competent algorithms based on decomposition;

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Trends and Applications in Knowledge Discovery and Data Mining

selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and;

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Pattern Mining with Evolutionary Algorithms

, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions;

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