(I got this quetions when trying to apply a position in computer science / math)
Q: How do you select n random sample data from a sequence of data points with unknown length? This should be a very common practical problem, say, you need to make some prediction using n samples of weather/stock/sensor information, which keeps coming at each second. The catch is: 1) The data sequence just keeps coming, one value at a time, you never know when it will end. 2) For each data value you have, you can not save all of them on disk: because it just keeps increasing and you will run out of disk or memory space (of course, you can assume you can keep a very "small" part of the data values around, but only very "small" amount). 3) make sure the n samples you select are "as random as possible", given all the values you have seen so far. (which also means you may need to adjust the n samples based on the coming new values). Any idea? --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Algorithm Geeks" group. To post to this group, send email to algogeeks@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/algogeeks -~----------~----~----~----~------~----~------~--~---
