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The goal of data mining is to unearth relationships in data that may provide useful insights. It supplements the discussions in the other chapters with a discussion of the statistical concepts statistical significance, pvalues, false discovery rate, permutation. Tech 3rd year study material, lecture notes, books. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers. Concepts and techniques 2nd edition solution manual. Machine learning with r expert techniques for predictive modeling 3rd edition. Concepts and techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Concepts and techniques shows us how to find useful knowledge in all that data. Download for offline reading, highlight, bookmark or take notes while you read data mining.
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Data mining for business analytics concepts, techniques. Fundamental concepts and algorithms, by mohammed zaki and wagner meira jr, to be published by cambridge university press in 2014. Data mining concepts and techniques 2nd edition 2nd ed by b p lathi. Concepts, techniques, and applications in xlminer, third editionpresents an applied approach to data mining and predictive analytics with clear exposition, handson exercises, and reallife case studies. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data.
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