Re: big data
Date: November 15, 2018 05:05PM
Hi,
About Big Data, some researchers say that there are the five V of Big data that are important: Volume, Velocity, Variety, etc.
But besides that, I would like to point out that some problems are easy even if we have big data, and some problems are difficult even if you don't have a lot of data. Actually, the difficulty of a computing problem is sometimes more influenced by the parameters of the problem than by the data size. This is for example the case in some problems such as itemset mining, where reducing the "minsup" parameter can exponentially increase the difficulty of the problem, while some algorithm scale in linear times when the data size is increased.
There are also many interesting problems related to big data such as stream data mining, where the data is potentially infinite. Or mining complex data like social graphs, etc.