Uploaded byEoin Brazil
An example of discovering simple patterns using basic data mining
The document outlines a data mining example using a dataset of restaurant tips over 2.5 months, analyzing 244 cases with 8 variables. It explores factors affecting tipping behavior, including regression modeling and correlations between variables, and notes tendencies in rounding tips. The study is supported by Science Foundation Ireland and acknowledges the use of various statistical and visualization techniques.
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An example of discovering simple patterns using basic data mining
- 1. Data Mining Example‘Tips’ dataset Irish Centre for High End Computing Dr. Eoin Brazil, Technology Transfer
- 2. Outline of PresentationTips in a US restaurant for 2 1/2 months 244 cases, 8 variables Obs num, totbill, tip, sex, smoker, day (Thur-Sun), time, size of party Source: Bryant, P. G. and Smith, M. A. (1995), Practical Data Analysis: Case Studies in Business Statistics Irish Centre for High End Computing (ICHEC) - Data Mining Example
- 3. Exploring ‘tips’ datasetQ: What are the factors that affect tipping behaviour ? Data restructuring: Calculate tiprate = tip/totbill Avenues to explore: Regression modeling Irish Centre for High End Computing (ICHEC) - Data Mining Example
- 4. Irish Centre forHigh End Computing (ICHEC) - Data Mining Example Large bins show global features, tips fall off quickly so perhaps this is not a very expensive restaurant.
- 5. Irish Centre forHigh End Computing (ICHEC) - Data Mining Example Smaller bins show local features, tips tend to be rounded to the nearest 50 cents or dollar.
- 6. Irish Centre forHigh End Computing (ICHEC) - Data Mining Example Looking at the correlation between variables (r) and checking to see who gives more or less than the ‘average’ tip of 18% of the bill.
- 7. Irish Centre forHigh End Computing (ICHEC) - Data Mining Example ‘ Conditioning’ or ‘Drilling down’ to explore more complex relationships within the data.
- 8. Irish Centre forHigh End Computing (ICHEC) - Data Mining Example ‘ Conditioning’ or ‘Drilling down’ to explore more complex relationships within the data, smokers round their tip more.
- 9. Beyond ‘toy’ datasetsMore complex methods Classification (Supervised/Unsupervised) Machine Learning Statistical techniques Visualisation Irish Centre for High End Computing (ICHEC) - Data Mining Example
- 10. Acknowledgements Supported byScience Foundation Ireland under grant 08/HEC/I1450 and by HEA’s PRTLI-C4.