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data mining concepts and techniques for discovering interesting patterns from data in various applications. In particular, we emphasize prominent techniques for developing effective, efficient, and scalable data mining tools. This chapter is organized as follows. In Section 1.1, you will learn why data mining is
This SME classic is both a reference book for the working engineer and a textbook for the mining student. This hardcover edition gives a brief history of surface mining and a general overview of the state of surface mining today—topics range from production and productivity to technological developments and trends in equipment.
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Anesthesiology, Third Edition (3rd ed.) by David E. Longnecker. Read online, or download in secure PDF or secure ePub format. The gold-standard text in anesthesiology – from the field's brightest, most respected minds Written by an internationally known team of experts, Anesthesiology, Third Edition provides a 360-degree view of the field ...
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Dec 30, 2008· Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions .
Editions for Introduction to Data Mining: 0321321367 (Hardcover published in 2005), 0133128903 (Hardcover published in 2018), 7115241007 (Paperback publi...
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations.This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know .
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Ott and Longnecker's An Introduction To Statistical Methods And Data Analysis 7th Edition (PDF), provides a broad overview of statistical methods for advanced graduate and undergraduate students from a variety of disciplines who have no or little prior course work in statistics.
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