MINE Is Harvard's Data Set Analyzer Kit!

Data sets have always presented challenges to the analyzers not because of their complexity but typically because of their size or numbers. Human eye has proved to be an excellent device for finding patterns in between different data sets however it falls short because of human capabilities.

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Image Credit: Harvard School of Engineering and Applied Sciences

Researchers at Harvard University and Broad Institute have developed a tool something like an advanced version of a software program which can differentiate and find association between data and analyze the relation between them with unprecedented accuracy and minimum time. The research paper is published in the online issue of Journal Science titled #-Link-Snipped-#.

The system developed by the team is in the form of a tool kit. The performance of which was tested by actually a very large data set. The kit was applied on identifying a particular type of microorganism in a group of 22million in the sample of a gut. The analytical tool kit could shorten the search to a few areas of interest which would have taken much time and would have turned into a futile exercise. The basic purpose of MINE is to sort out data on the basis of parameters and priorities and get the solution much to the very required quantities, nothing more nothing less.

The tool kit is able to solve any kind of correlation problem. This is because of its ability to receive only the required signal and treat others as noise; thereby concentrating its attention on single task. This was also evident from the variety of observations which the tool kit could draw when subjected to the social and economical data of world Health Organization (WHO). It was found that in most of the countries, the rising levels of income and obesity in women were related by a parabolic relation. Once a particular amount of income was reached there was no change in the obesity among females. However a striking observation was made by MINE. In all the confusing numbers the tool kit pointed out that this was not the case with Pacific Islands where the female obesity was a sign of status.  The result was a steep increase in weight with rising income of women.

The tool kit which has proved to be a practical analyzer for enormous amount of data brings into view the hypothetical nature of science in which something is said but when analyzed for a wide variety of results only then can we find a closer answer. What we all need to today is a foolproof method of finding relations and suitable algorithm to do that. I guess this is it.