Lecture AP Biology Chapter 42A Circulation
Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
... better, customized services for an edge (e.g in Customer Relationship Management) © Tan,Steinbach, Kumar Introduction to Data Mining Why Mine Data? Scientific Viewpoint Data collected and stored at ... the data is never analyzed at all 4,000,000 3,500,000 The Data Gap 3,000,000 2,500,000 2,000,000 1, 500,000 Total new disk (TB) since 19 95 1, 000,000 Number of analysts 500...
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
... p2 p3 p4 p1 p3 p4 p2 0 y 1 p1 p1 p2 p3 p4 x 2. 828 3.1 62 5.099 p2 2. 828 1.414 3.1 62 p3 3.1 62 1.414 p4 5.099 3.1 62 Distance Matrix © Tan,Steinbach, Kumar Introduction to Data Mining 50 Minkowski ... Tan,Steinbach, Kumar Introduction to Data Mining 42 Mapping Data to a New Space Fourier transform Wavelet transform Two Sine Waves © Tan,Steinbach, Kumar Two Sine Wa...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
... object Introduction to Data Mining separate face becomes a Star Plots for Iris Data Setosa Versicolour Virginica © Tan,Steinbach, Kumar Introduction to Data Mining 29 Chernoff Faces for Iris Data ... Tan,Steinbach, Kumar Introduction to Data Mining 35 OLAP Operations: Data Cube The key operation of a OLAP is the formation of a data cube A data cube is a...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... same data! 10 © Tan,Steinbach, Kumar Introduction to Data Mining Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining Apply Model to Test Data Test Data ... P(C2) = 4/ 6 Error = – max (2/6, 4/ 6) = – 4/ 6 = 1/3 Introduction to Data Mining 43 Comparison among Splitting Criteria For a 2-class problem: © Tan...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... (3) until stopping criterion is met © Tan,Steinbach, Kumar Introduction to Data Mining 14 Example of Sequential Covering (ii) Step © Tan,Steinbach, Kumar Introduction to Data Mining 15 Example ... Tan,Steinbach, Kumar Introduction to Data Mining 27 Indirect Methods © Tan,Steinbach, Kumar Introduction to Data Mining 28 Indirect Method: C4.5rules Extract rules f...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... 159 3 56 357 68 9 Introduction to Data Mining 367 368 22 Subset Operation Using Hash Tree Hash Function transaction 1+ 23 56 2+ 3 56 12+ 3 56 1,4,7 3+ 56 3 ,6, 9 2,5,8 13+ 56 234 567 15+ 145 1 36 345 ... 159 Introduction to Data Mining 3 56 357 68 9 367 368 23 Subset Operation Using Hash Tree Hash Function transaction 1+ 23 56 2+ 3 56 12+ 3 56 1,4,7 3+ 56 3 ,6, 9...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... viable candidate, then it can be obtained by merging w with < {1} {2 6} {5}> © Tan,Steinbach, Kumar Introduction to Data Mining 37 GSP Example © Tan,Steinbach, Kumar Introduction to Data Mining ... 0. 17 = 0.9 Sup(W1, W2, W3) = + + + + 0. 17 = 0. 17 © Tan,Steinbach, Kumar Introduction to Data Mining 20 Multi-level Association Rules Food Electronics Bread Computer...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... Tan,Steinbach, Kumar Introduction to Data Mining Partitional Clustering Original Points © Tan,Steinbach, Kumar A Partitional Clustering Introduction to Data Mining Hierarchical Clustering p1 p2 Traditional ... e.g., autocorrelation Dimensionality Noise and Outliers Type of Distribution © Tan,Steinbach, Kumar Introduction to Data Mining 18 Clustering Algorithms K-m...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
... Density Introduction to Data Mining 33 SNN Clustering Can Handle Differing Densities Original Points © Tan,Steinbach, Kumar SNN Clustering Introduction to Data Mining 34 SNN Clustering Can Handle ... merge (c) and (d) Introduction to Data Mining 13 Chameleon: Clustering Using Dynamic Modeling Adapt to the characteristics of the data set to find the natural clus...
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Linzey - Vertebrate Biology - Chapter 1 ppsx
... fascinating group of animals FIGURE 1. 25 (a) FIGURE 1. 24 Number of new mammal species named 600 500 400 300 200 10 0 17 6 0-7 0 18 1 0-2 0 18 6 0-7 0 19 1 0-2 0 19 6 0-7 0 19 8 0-9 0 The number of new mammal species ... birth Linzey: Vertebrate Biology 18 The Vertebrate Story: An Overview Text © The McGraw−Hill Companies, 2003 Chapter One FIGURE 1. 20 FIGURE...
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Linzey - Vertebrate Biology - Chapter 2 doc
... Tyrosine 0.8 Man 0 .2 Monkey 6.9 3.0 1.4 1.1 1.4 Dog 0.9 Horse 2. 9 1.7 2. 7 4.6 3.3 3.3 1.6 1 .2 –0 .2 1.1 1.0 0.5 1.0 16.5 5.4 1.1 4.9 17 .2 15 .2 5.7 6.5 9.9 28 .1 2. 1 17.4 9.6 35 30 25 23 .4 20 15 10 Donkey ... one woodlot are Linzey: Vertebrate Biology Systematics and Vertebrate Evolution Text © The McGraw−Hill Companies, 20 03 Systematics and Vertebrate Evolution...
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Linzey - Vertebrate Biology - Chapter 4 ppsx
... scales Linzey: Vertebrate Biology Early Chordates and Jawless Fishes Text Chapter Four 78 BIO-NOTE 4. 1 Homeobox Genes Whereas the preceding discussion focused on recent (direct) ancestors of vertebrates, ... 2003 Early Chordates and Jawless Fishes FIGURE 4. 8 FIGURE 4. 9 Pteraspis Drepanaspis cm cm (a) Phlebolepis cm (a) (b) (a) Arandaspis, a 47 0-million-year-old jawless fish fou...
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