Infinite data analysis beyond big data

We address the problem of infinite data analysis. Big data analysis has been a very active area of research in machine learning, but so far, as implied by the term ‘big data’ itself, the amount of input data has been assumed to be finite. However, many types of data often grow infinitely in size, and therefore, the observed data must be a part of a potentially infinite amount of data. This is the reason why we think the machine learning systems must be able to handle unlimited size of data. As an example of our results, this presentation deals with relational data represented by matrices, where the rows indicate instances and the columns represent values attributed to the instances.

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