GT data mining

Sunday, September 27, 2015

GT data mining demonstration - finances

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Prediction of the daily US $ up/down change Edith Ohri, edith@fabhighq.com The goal In this demo the goal has been ...
Tuesday, September 15, 2015

Digging in financial data

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Using any data for in-depth conclusions Lessons from a   GT study * of 1,000 NYSE companies from year 2000, just before the dot-com bubbl...
Thursday, June 13, 2013

Some thoughts on big data challenges

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Here is a list of challenges from my personal encounters with the subject: How to make use of unsupervised data?  Untangling mixed phen...
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Wednesday, June 5, 2013

First introduction

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Why GT, and why data mining at all? My quest for mining algorithm started a long while ago. I sort of grew up with that field.  It intrig...
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About Me

Edith Ohri
Through many works and researches I've developed the GT-data-mining universal solution to analytics of unsupervised data, which later has been proven to fit big data and machine-learning requirements as well. GT is made for find & define new hypotheses at the LEARNING stage. About the new data-science concept - see at https://www.researchgate.net/project/Philosophy-of-Data-Science-review-for-big-data-analytics
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