Hidden relationship mining has taken a few different paths from TDA to LDA graphical modelling (Michael Jordan, David Blei) to Vector Space driven (Berkeley Lab). Extracting hidden relationships in datasets and using these to form new hypothesis and enable or even make new discoveries is certainly the future...<p>Lawrence Berkeley National Laboratory vector space for hidden relationships:
<a href="http:&#x2F;&#x2F;newscenter.lbl.gov&#x2F;news-releases&#x2F;2008&#x2F;07&#x2F;09&#x2F;berkeley-lab-wins-four-2008-rd-100-awards&#x2F;" rel="nofollow">http:&#x2F;&#x2F;newscenter.lbl.gov&#x2F;news-releases&#x2F;2008&#x2F;07&#x2F;09&#x2F;berkeley-...</a><p>A Search Engine that Thinks
<a href="http:&#x2F;&#x2F;newscenter.lbl.gov&#x2F;feature-stories&#x2F;2005&#x2F;03&#x2F;31&#x2F;a-search-engine-that-thinks-almost" rel="nofollow">http:&#x2F;&#x2F;newscenter.lbl.gov&#x2F;feature-stories&#x2F;2005&#x2F;03&#x2F;31&#x2F;a-searc...</a><p>Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span - Blei DM1, Franks K, Jordan MI, Mian IS. - <a href="http:&#x2F;&#x2F;www.ncbi.nlm.nih.gov&#x2F;pmc&#x2F;articles&#x2F;PMC1533868" rel="nofollow">http:&#x2F;&#x2F;www.ncbi.nlm.nih.gov&#x2F;pmc&#x2F;articles&#x2F;PMC1533868</a>