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Data Cleaning

Venkatesh Ganti

Data Cleaning

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Venkatesh Ganti

Data Fluency

Patrick Schuermann

Data Fluency

A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and...

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Patrick Schuermann

Data Lakes For Dummies

Alan R. Simon

Data Lakes For Dummies

Take a dive into data lakes “Data lakes” is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a straightforward answer the question: “What exactly is a data lake and do I need one for my business?” Written for an audience of technology decision makers tasked with keeping up with the latest and greatest data options, this book provides the perfect introductory survey of these novel and...

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Alan R. Simon

Data Lakes For Dummies

Alan R. Simon

Data Lakes For Dummies

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Alan R. Simon

Data Management in the Cloud

Divyakant Agrawal

Data Management in the Cloud

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Divyakant Agrawal

Data Mining

Mehmed Kantardzic

Data Mining

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Mehmed Kantardzic

Data Mining and Business Analytics...

Johannes Ledolter

Data Mining and Business Analytics with R

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and...

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Johannes Ledolter

Data Mining and Learning Analytics

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Data Mining and Learning Analytics

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles—...

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Data Mining and Market Intelligence

Mustapha Akinkunmi

Data Mining and Market Intelligence

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Mustapha Akinkunmi

Data Mining and Predictive Analytic...

Daniel T. Larose

Data Mining and Predictive Analytics

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain...

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Daniel T. Larose

Data Mining and Statistics for Deci...

Stéphane Tufféry

Data Mining and Statistics for Decision Making

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent...

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Stéphane Tufféry

Data Mining Cookbook

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Data Mining Cookbook

Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The...

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Data Mining For Dummies

Meta Brown S.

Data Mining For Dummies

Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more...

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Meta Brown S.

Data Mining for Genomics and Proteo...

Darius Dziuda M.

Data Mining for Genomics and Proteomics. Analysis of Gene and Protein Expression Data

Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.

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Darius Dziuda M.

Data Mining Techniques. For Marketi...

Gordon Linoff S.

Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised— is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common...

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Gordon Linoff S.

Data Mining Techniques. For Marketi...

Gordon Linoff S.

Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management

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Gordon Linoff S.

Data Mining the Web

Zdravko Markov

Data Mining the Web

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).

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Zdravko Markov

Data Mining with Microsoft SQL Serv...

Jamie MacLennan

Data Mining with Microsoft SQL Server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server...

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Jamie MacLennan

Data Mining. Concepts, Models, Meth...

Mehmed Kantardzic

Data Mining. Concepts, Models, Methods, and Algorithms

This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades. If you are an instructor or professor and...

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Mehmed Kantardzic

Data Modeler's Workbench

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Data Modeler's Workbench

A goldmine of valuable tools for data modelers! Data modelers render raw data-names, addresses, and sales totals, for instance-into information such as customer profiles and seasonal buying patterns that can be used for making critical business decisions. This book brings together thirty of the most effective tools for solving common modeling problems. The author provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both...

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Data Modeling Fundamentals

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Data Modeling Fundamentals

The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach...

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Data Processing on FPGAs

Louis Woods

Data Processing on FPGAs

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Louis Woods

Data Profiling

Lukasz Golab

Data Profiling

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Lukasz Golab

Data Science and Big Data Analytics...

EMC Services Education

Data Science and Big Data Analytics. Discovering, Analyzing, Visualizing and Presenting Data

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team...

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EMC Services Education

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