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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the;

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R and Data Mining

R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for;

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Practitioner'S Guide To Resampling For Data Analysis, Data M

. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the;

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Resampling Methods

This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and;

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Social Big Data Mining

data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language;

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Social Big Data Mining

data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language;

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Data Mining For Business Analytics

examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and;

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A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner;

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Nonparametric Function Estimation, Modeling, and Simulation

analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling;

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Making Sense of Data I

a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Data Mining for Social Network Data

to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range;

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Data Mining with SPSS Modeler

Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and;

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Contemporary Perspectives in Data Mining

mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover;

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Contemporary Perspectives in Data Mining

mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover;

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Foundations of Intelligent Systems

, Special Session on Intelligent Methodologies for Traffic Data Analysis and Mining, and Special Session on Advanced Methods in Machine Learning for;

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Uncertainty Modeling for Data Mining

interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for;

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Mathematical Modeling of Pharmacokinetic Data

A concise guide to mathematical modeling and analysis of pharmacokinetic data, this book contains valuable methods for maximizing the;

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5th International Symposium on Data Mining Applications

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and;

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Lecture Notes in Computational Intelligence and Decision Making

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the;

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Descriptive Data Mining

optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research;

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Data Mining for Bioinformatics Applications

preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving;

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Data Analysis Using Sql & Excel 2Nd Ed

A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most;

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Exploratory Data Mining and Data Cleaning

* Written for practitioners of data mining, data cleaning and database management. * Presents a technical treatment of data quality;

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Intelligent Learning Systems

some type of data mining in order to understand the clients' behaviour and to predict the future market trends. This edition covers;

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