The document discusses a vacation advisor tool that analyzes flight and accommodation costs, daily expenses, locations and attributes of cities in Hawaii to determine if $1000 can fund a one week vacation. It uses federal and Google data on features like beaches and museums to cluster cities and provide recommendations that could save up to 25% versus a user's initial selection by choosing similar alternative destinations. The tool was created by Fred N. Kiwanuka, a Fellow at Insight Data Science with degrees from Groningen, London, and MIT.

1. VacAdvisor
Fred N. Kiwanuka
Fellow Insight Data Science
July 1, 2015
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

2. Can $1000 take me for a vacation in Hawaii for a week?
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

3. The Data
Federal Data Google Flight Data
Parks & Beaches Museum
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

4. Features
Flight Cost from New York
Average cost of hotels
Average daily expenses including car
Location of city [east, west, central, south, north]
City specifics like beaches, museum, national parks
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

5. Conceptual Framework
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

6. Algorithm
Feature Space Clustering
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

7. Observations
Results show that for many destinations, one could save up to
25% by choosing some of the recommended cities with similar
attributes rather than their initial selection
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

8. About Me
Fred N. Kiwanuka, PhD Groningen The Netherlands,
MSC(London), MIT(Teaching Fellow)
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor