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Introduction to Data Mining by Pang Ning Tan available at Book Pang Ning Tan By author Michael Steinbach By author Vipin Kumar The addition of this chapter is a recognition of the importance of this topic and an acknowledgment that a deeper understanding of this area is needed for those analyzing data
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by Pang Ning Tan With eBooks you can search for key concepts words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf available as a free download available online and also via the iPad and Android apps Upon purchase you ll gain instant access to this eBook
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Buy Introduction to Data Mining eBook Global Edition 2nd Edition ebooks from by Tan Pang Ning/Steinbach Michael/Kumar Vipin from Pearson published on 3/4/2024 Use our personal learning platform and check out our low prices and other ebook categories
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Tan Steinbach Karpatne amp Kumar Introduction to Data December 20th 2024 Introduction to Data Mining 2nd Edition gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students instructors researchers and professionals Presented in a clear and accessible way the book outlines
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Average rating · 485 ratings · 34 reviews · shelved 2 524 times Showing 30 distinct works previous 1 2 next sort by Introduction to Data Mining by Vipin Kumar Michael Steinbach avg rating — 355 ratings — published 2024 — 19 editions
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The fundamental algorithms in data mining and machine learning form the basis of data science utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics This textbook for senior undergraduate and graduate courses provides a comprehensive in depth
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[Pang Ning Tan Michael Steinbach Anuj Karpatne Vipin Kumar] New coming soon Home WorldCat Home About WorldCat Michael Steinbach University of Minnesota Anuj Karpatne University of Minnesota Vipin Kumar University of Minnesota Reviews Similar Items Related Subjects 2 Data mining Exploration de données Informatique Confirm this request You may have already
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Tan Steinbach Kumar Introduction to Data Mining 4/18/2024 Grubbs Test Detect outliers in univariate data Assume data comes from normal distribution Detects one outlier at a time remove the outlier and repeat H0 There is no outlier in data HA There is at least one outlier Grubbs Reject test statistic H0 if Tan Steinbach Kumar N 1 G N
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1 Introduction 1 Discuss whether or not each of the following activities is a data mining task a Dividing the customers of a company according to their gender
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The book concentrates on the following important algorithms k Means SVM Apriori EM PageRank AdaBoost k NN Naive Bayes and CART Examples illustrate how each algorithm works and highlight its overall performance in a real world application The text covers key topics—including classification clustering statistical learning
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