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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 12th 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

This book constitutes the refereed proceedings of the 11th 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 7th International Conference on Machine Learning and Data Mining in Pattern;

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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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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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Pattern Recognition and Machine Intelligence

analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.;

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Pattern Recognition and Machine Intelligence

; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications;

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

organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and;

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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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Intelligent Learning Systems

recommendation, intelligent interaction support for e-learning, data mining for instructional design, learning and assessment, students' access patterns;

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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 and Artificial Intelligence

intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision;

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Introduction to Data Mining and its Applications

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents;

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Pattern Recognition and Artificial Intelligence

of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining;

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Intelligent Science and Intelligent Data Engineering

submissions. Topics covered include pattern recognition; computer vision and image processing; machine learning and computational intelligence;

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Machine Interpretation Of Patterns

in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.Machine Interpretation;

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Advanced Data Mining

of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence and other areas. This book majorly focuses;

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Recent Trends in Image Processing and Pattern Recognition

Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018.The 173 revised full papers presented were carefully reviewed and;

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Data Mining and Machine Learning

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze;

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Graphs for Pattern Recognition

This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition;

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Advances in Knowledge Discovery and Data Mining

KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases;

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Advances in Independent Component Analysis and Learning Machines

theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining.

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Machine Learning for Networking

submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine;

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