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MaxHalford / maxhalford.github.io

:house_with_garden: Personal website
https://maxhalford.github.io
MIT License
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blog/skyline-queries/ #3

Open utterances-bot opened 4 years ago

utterances-bot commented 4 years ago

Skyline queries in Python - Max Halford

Imagine that you’re looking to buy a home. If you have an analytical mind then you might want to tackle this with a quantitative. Let’s suppose that you have a list of potential homes, and each home has some attributes that can help you compare them. As an example, we’ll consider three attributes: The price of the house, which you want to minimize The size of the house, which you want to maximize The city where the house if located, which you don’t really care about Some houses will be objectively better than others because they will be cheaper and bigger.

https://maxhalford.github.io/blog/skyline-queries/

hilwine commented 4 years ago

Hi I am implementing your code (BNL algorithm) by recovering the data from an excel file (csv) but it doesn't work ... :( Can you help me please?

MaxHalford commented 4 years ago

For posterity: I've answered @hilwine via an email conversation.

hilwine commented 4 years ago

thank you so much @MaxHalford

SwathiSowmya commented 2 years ago

Thank you for the elaborated explanation. Can this be extended to R-Tree for spatial data. If so can you please provide the resources. @MaxHalford

MaxHalford commented 2 years ago

Hello @SwathiSowmya I'm sure it can because it's just a question of updating the matching function. However, I don't believe I have the time to work on that as of right now.