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Pattern Recognition And Big Data

, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big 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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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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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which;

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Internet-Scale Pattern Recognition

keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;

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Internet-Scale Pattern Recognition

keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;

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Data Mining and Big Data

mining and big data and one Workshop on Computational Aspects of Pattern Recognition and Computer Vision.;

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Big Data Computing and Communications

This book constitutes the proceedings of the First International Conference on Big Data Computing and Communications, BigCom 2015, held;

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Advantages and Pitfalls of Pattern Recognition

the data of multivariate analysis. This book explores both supervised and unsupervised pattern recognition techniques, while providing insight;

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Pattern Recognition

problem data. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book;

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Intelligence Science and Big Data Engineering. Visual Data Engineering

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data;

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data;

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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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Fuzzy C-means Clustering using Pattern Recognition

selected fuzzy technique and on the problem to be solved. Most pattern recognition techniques involve treating the data as a variable applies;

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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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Matrix Methods in Data Mining and Pattern Recognition

computing/numerical analysis course and graduate students in data mining and pattern recognition areas who need an introduction to linear algebra;

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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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Pattern Recognition

Pattern recognition studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like;

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Applications of Pattern Recognition

include the application of pattern recognition to seismic wave interpretation, to system reliability problems, to medical data analysis, as well;

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Pattern Recognition in Nanoscience, Environmental Engineering & Archeology

This book presents new and important research on pattern recognition -- the research area that studies the operation and design of systems;

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Pattern Recognition in Biology

Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses;

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Pattern Recognition In Computati

on pattern recognition in biomolecular data * Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as;

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Pattern Recognition Applications in Engineering

are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition;

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EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human;

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Big Data and Smart Digital Environment

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;

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Big Data and Smart Digital Environment

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;

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