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Hidden Data

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Mixture and Hidden Markov Models with R

This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models;

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Web Content Mining from Hidden Web

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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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;

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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;

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Hidden Markov and Other Models for Discrete-Valued 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

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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Fraud Data Analytics Methodology Fraud S

Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable;

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Sequence Data Mining

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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Our Bodies, Our Data

health-care outcomesHidden to consumers, patient medical data has become a multibillion-dollar worldwide trade industry between;

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Mining Latent Entity Structures

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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Hidden Markov Models for Time Series

, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It also;

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Our Bodies, Our Data

health-care outcomesHidden to consumers, patient medical data has become a multibillion-dollar worldwide trade industry between;

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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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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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Introduction to Data Mining for the Life Sciences

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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Data Mining & Management

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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Understanding China's Growth

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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Modern Approaches of Data Mining: Theory and Practice

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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Learn Data Mining Through Excel

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

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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Introduction to Data Mining

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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The Hidden Hands of Justice

organization (NGO) participation at international criminal and human rights courts. Drawing on original data, Heidi Nichols Haddad maps and explains;

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The Hidden Hands of Justice

organization (NGO) participation at international criminal and human rights courts. Drawing on original data, Heidi Nichols Haddad maps and explains;

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Patent Analytics

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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Patent Analytics

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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