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Last Minute Vacation

Last Minute Vacation . Taylor McGann Danny Christensen Russ Taylor. Agenda. Introduction Data Collection Data Summarization Models Conclusions Future Research. Last minute vacation?...What?. How can we get a cheap ticket?. 1. What is the best day to purchas e tickets?. 2.

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Last Minute Vacation

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  1. Last Minute Vacation Taylor McGann Danny Christensen Russ Taylor

  2. Agenda Introduction Data Collection Data Summarization Models Conclusions Future Research

  3. Last minute vacation?...What?

  4. How can we get a cheap ticket?

  5. 1 What is the best day to purchasetickets?

  6. 2 How far in advance should we purchase tickets?

  7. 3 Are we getting the best price?

  8. Ruby

  9. Selenium WebDriver

  10. Kayak

  11. Loads of CSV files

  12. "We don't want bots running about trying to book airline tickets. They tend to try to cram large suitcases in the overhead bin, and they prattle on about celebrities they know while you are trying to watch the movie."

  13. How about that data?

  14. Predicting Price Final Variables

  15. ANN ANN

  16. ANN

  17. KNN

  18. KNN

  19. Linear Regression

  20. Linear Regression *NOTE: Table does not include all variables

  21. 1 What is the best day to purchasetickets?

  22. Tuesday Sunday Conclusions

  23. 2 How far in advance should we purchase tickets?

  24. 180 Days 120 Days 60 Days Conclusions 1 Day

  25. 3 Are we getting the best price?

  26. Hard to determine.Too many variables.Out of scope. Conclusions

  27. Future Research Explore variables in isolation (E.g. destination, airline, etc.)

  28. Future Research Add a "Buy/Buy Not"variable to do categorical analysis.

  29. Future Research Collect data over a longer period of time. Isolate seasonal and cyclical trends.

  30. Questions

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