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2 Chapter 1 Introduction area of data mining known as predictive modelling. We could use regression for this modelling, although researchers in many fields have developed a wide variety of techniques for predicting time series. (g) Monitoring the heart rate of a patient for abnormalities. Yes. We would build a model of the normal behavior of heart
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Exploring Data (lecture slides: [ PPT ] [ PDF ]) 4. Classication: Basic Concepts, Decision Trees, and Model Evaluation (lecture slides: [ PPT ] [ PDF ]) 5. Classication: Alternative Techniques (lecture slides: [ PPT ] [ PDF ]) 6. Association Analysis: Basic Concepts and Algorithms (lecture slides: [ PPT ] [ PDF ]) 7.
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Pang-Ning Tan, Michael Steinbach, Vipin Kumar: Introduction to Data Mining. 2nd Edition. Pearson / Addison Wesley. University of Mannheim –Prof. Bizer: Data Mining Slide 12 Lecture Videos and Screencasts 1. Video recordings of all lectures from FSS 2015 2. Step-by-step introduction …
17-10-2012· Introduction to Data Mining Instructor: Tan,Stein batch,Kumar Download slides from here 1. Introduction (lecture slides: [PPT] ) 2. Data (lecture slides: ) 3. Exploring Data (lecture slides: ) 4. Classication: Basic Concepts, Decision Trees, and Model Evaluation (lecture slides: ) 5.
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From [Fayyad, et.al.] Advances in Knowledge Discovery and Data Mining, 1996 © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 16 Classifying Galaxies Early Intermediate Late Data Size: • 72 million stars, 20 million galaxies • Object Catalog: 9 GB • Image Database: 150 GB Class: • Stages of Formation Attributes: