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Lecture Notes for Chapter 2 Introduction to Data Mining

Attribute Type Description Examples Operations Nominal The values of a nominal attribute are just different names, ie, nominal attributes provide only enough...

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5 References zPang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Pearson Addison Wesley, 2005 zJiawei Han, Micheline Kamber, Data Mining : Concepts and Techniques, 2nd edition, Morgan Kaufmann, 2006 zIan Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd Edition, Morgan Kaufmann, 2005...

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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining by Tan, Steinbach, Kumar (modified by Predrag Radivojac, 2017) Lots of data is being collected...

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Lecture Notes for Chapter 2 Introduction to Data Mining

Attribute Type Description Examples Operations Nominal The values of a nominal attribute are just different names, ie, nominal attributes provide only enough...

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Introduction to Data Mining (2nd Edition) Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar Addison Wesley, ISBN-13: 978-0133128901 Instructor Resources (including sample chapters) Table of Content (2nd Edition)...

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5 References zPang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Pearson Addison Wesley, 2005 zJiawei Han, Micheline Kamber, Data Mining : Concepts and Techniques, 2nd edition, Morgan Kaufmann, 2006 zIan Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd Edition, Morgan Kaufmann, 2005...

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CS 4315: Introduction to Data Mining and Information Retrieval

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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time Each concept is explored thoroughly and supported with numerous exampl The text requires only a modest background in mathematics Each major topic is organized into two ....

CS059 - Data Mining -- Slides

Chapters 2,3 from the book “Introduction to Data Mining” by Tan, Steinbach, Kumar Chapter 1 from the book Mining Massive Datasets by Anand Rajaraman and Jeff Ullman; Lecture 3: Frequent Itemsets, Association Rules, Apriori algorithm(ppt, pdf)...

(Notes from: Tan, Steinbach, Kumar + Ghosh)

SIAM International Conference on Data Mining (SDM 2004) – Scaling strategies P S Bradley, U Fayyad, and C Reina, "Scaling Clustering Algorithms to Large Databases", Proc 4 th International Conf on Knowledge Discovery and Data Mining (KDD-98) AAAI Press, Aug 1998 zInitialization – P S Bradley and U M Fayyad...

Introduction to Data Mining - University of Minnesota

each outcome from the data, then this is more like the problems considered by data mining However, in this specific case, solu-tions to this problem were developed by mathematicians a long time ago, and thus, we wouldn’t consider it to be data mining (f) Predicting the future stock price of a company using historical records Y...

Introduction to Data Mining - University of Minnesota

Feb 14, 2018· Introduction to Data Mining (Second Edition) Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota Anuj Karpatne, University of Minnesota Vipin Kumar, University of Minnesota Preface to the Second Edition , Introduction (last updated: 14 Feb, 2018) Data ....

Lecture 4 Frequent Itemests Association Rules Evaluation ,

Chapter 3 from the book Mining Massive Datasets by Anand Rajaraman and Jeff Ullman Chapter 8 from the book “ Introduction to Data Mining ” by Tan, Steinbach, Kumar Lecture 7: Hierarchical clustering, DBSCAN, Mixture models and the EM algorithm (ppt, pdf) Chapter 8,9 from the book “ Introduction to Data Mining ” by Tan, Steinbach, Kumar...