Introduction to Data Mining!

Transcript

1. Data Mining! An Introduction
3. Wufoo.com
8. What is data mining?
10. Collection? No! Extraction. Yup.
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
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
24. Online Surveys
25. Individuals, Developers, Designers, Non-Profits, Teachers, Students, Universities, Research, Real Estate, Marketing, Healthcare, Banks, SMBs
27. What do they do with all that data?
29. Positive / Negative Likert Scale Ratings Multiple Choice Open Feedback
34. What are some potential problems with data collected by asking?
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)
43. Google Flu Trends
47. Hans Rosling
49. Recommendation Engines
52. Relationships!
56. Will my date have sex on the first date? Do you like the taste of beer?
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%
62. The Social Graph
63. Privacy & Confidentiality Issues
66. So that’s data mining!
67. Thanks!