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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning..

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A groundbreaking look at the NSA surveillance scandal, from the reporter who broke the story, Glenn Greenwald, star of Citizenfour, the Academy Award-winning documentary on Edward Snowden

In May 2013, Glenn Greenwald set out for Hong Kong to meet an anonymous source who claimed to have astonishing evidence of pervasive government..

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NEW YORK TIMES BESTSELLER • A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric—with a new afterword
 
“A manual for the twenty-first-century citizen . . . relevant and urgent.”—Financial Times

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From the bestselling author of Buyology comes a shocking insider’s look at how today’s global giants conspire to obscure the truth and manipulate our minds, all in service of persuading us to buy.
 
Marketing visionary Martin Lindstrom has been on the front lines of the branding wars for over twenty years.  Here,..

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UPDATED FOR THE 2016 ELECTION

The book Politico calls “Moneyball for politics” shows how cutting-edge social science and analytics are reshaping the modern political campaign.


Renegade thinkers are crashing the gates of a venerable American institution, shoving aside its so-called wise men and replacing..

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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining..

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NEW YORK TIMES BESTSELLER • With new information on crunching your own numbers to get the edge the experts have

An international sensation—and still the talk of the relevant blogosphere—this Wall Street Journal and New York Times business bestseller examines the “power” in numbers...

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For the first time, the Cambridge Analytica whistleblower tells the inside story of the data mining and psychological manipulation behind the election of Donald Trump and the Brexit referendum, connecting Facebook, WikiLeaks, Russian intelligence, and international hackers.

Mindf*ck demonstrates how digital influence..

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BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language.

Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media,..

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An inside look at who's watching you, what they know and why it matters. We are being watched.

We see online ads from websites we've visited, long after we've moved on to other interests. Our smartphones and cars transmit our location, enabling us to know what's in the neighborhood but also enabling others to track us. And the..

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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...

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If you're at the beginner stage and are looking to gain new knowledge about machine learning then keep reading...

WARNING: Do not read this book if you're looking for a boring textbook containing a lot of dry math and programming lingo.

Every day, someone is putting down a book on machine learning and giving up on learning..

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With big data analytics comes big insights into profitability
Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology..

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This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017.

The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The..

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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses..

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Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects..

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Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and..

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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration

Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems..

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Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces

The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such..

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Dieses Buch behandelt die wichtigsten Methoden zur Erkennung und Extraktion von „Wissen“ aus numerischen und nichtnumerischen Datenbanken in Technik und Wirtschaft. Es vermittelt einen kompakten, fundierten Überblick über die verschiedenen Methoden sowie deren Motivation und versetzt den Leser in die Lage, Data Mining selbst praktisch einzusetzen.

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This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This..

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This book constitutes the refereed proceedings of the 16th Australasian Conference on Data Mining, AusDM 2018, held in Bathurst, NSW, Australia, in November 2018.
The 27 revised full papers presented together with 3 short papers were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on classification..

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Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics,..

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