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This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models;
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World Wide Web is enormous compilation of multi- variant data. For better knowledge management it is important to retrieve accurate and;
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(HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After;
Vergelijkbare producten zoals Hidden Markov Models for Time Series
(HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting;
Vergelijkbare producten zoals Hidden Markov Models for Time Series
of these models, then applies them to data from a wide range of diverse subject areas, including medicine, climatology, and geophysics. This book;
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Data Mining deals with discovering hidden knowlege, unexpected patterns.It is currently regarded as the key element of a much more involved;
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Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable;
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Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our;
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health-care outcomesHidden to consumers, patient medical data has become a multibillion-dollar worldwide trade industry between;
Vergelijkbare producten zoals Our Bodies, Our Data
The big data era is characterized by an explosion of information in the form of digital data collections, ranging from scientific;
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, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It also;
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health-care outcomesHidden to consumers, patient medical data has become a multibillion-dollar worldwide trade industry between;
Vergelijkbare producten zoals Our Bodies, Our Data
Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;
Vergelijkbare producten zoals Stochastic Modeling of Scientific Data
Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;
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Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within;
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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;
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Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three;
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Using rigorous economic analysis backed by solid data and accounts of real life experiences, this book twists conventional wisdom to drive;
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Our book includes some state-of-the-art classical and non-classical approaches of data mining and given a well-balanced treatment of both;
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Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming;
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Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an;
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Data mining is a process which deals with the discovery of patterns in large data sets. It applies methods from the fields of statistics;
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organization (NGO) participation at international criminal and human rights courts. Drawing on original data, Heidi Nichols Haddad maps and explains;
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organization (NGO) participation at international criminal and human rights courts. Drawing on original data, Heidi Nichols Haddad maps and explains;
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Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its;
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Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its;
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