Introduction to Data Mining!

Transcript

1. Data Mining! An Introduction

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3. Wufoo.com

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8. What is data mining?

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10. Collection? No! Extraction. Yup.

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12. 324 - 576 megapixels Stereo Audio 20-20,000hz 10,000 Chemical Compounds

    5-6 Flavors Temperature / Pressure / Texture 2.5 Petabytes Eyes Ears Nose Mouth Skin Memory
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15. The process of extracting patterns from large data sets.

16. What are some examples of large data sets?

17. Astronomy Biology Business Internet Government Religion

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24. Online Surveys

25. Individuals, Developers, Designers, Non-Profits, Teachers, Students, Universities, Research, Real Estate,

    Marketing, Healthcare, Banks, SMBs
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27. What do they do with all that data?

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29. Positive / Negative Likert Scale Ratings Multiple Choice Open Feedback

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34. What are some potential problems with data collected by asking?

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37. Data collection is just the first part.

38. Association Rule Learning Clustering Classification Regression Visualization

39. Statistics Artificial Intelligence Database Management

40. Bayes Theorem (1700s) Regression Analysis (1800s) Neural Networks (1940s) Genetic

    Algorithms (1950s) Decision Tree Learning (1960s) Support Vector Machines (1990s)
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43. Google Flu Trends

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47. Hans Rosling

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49. Recommendation Engines

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52. Relationships!

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56. Will my date have sex on the first date? Do

    you like the taste of beer?
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58. Assuming you were in the position to do so, would

    you launch nuclear weapons under any circumstances? 82%

59. In a certain light, wouldn't nuclear war be exciting? 83%

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62. The Social Graph

63. Privacy & Confidentiality Issues

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66. So that’s data mining!

67. Thanks!