Downloads | Maximal Information-based Nonparametric Exploration The MINE application You can download the MINE application, which computes MIC as well as other statistics from the MINE family, for use in both Java and R. Datasets The datasets analyzed in the paper describing MINE are available for download. These versions of the datasets have undergone all the curation described in the paper. WHO: Social, economic, health, and political indicators from the World Health Organization and GapMinder.Gene Expression: Spellman et al. yeast gene expression dataset (CDC15).Microbiome: Microbiome dataset of Turnbaugh et al. (2009).Baseball: Individual offensive statistics from 2008 Major League Baseball season. P-Value Tables We have pre-computed the p-values of various MIC scores at different sample sizes.
Invisque The Story of Stuff The Web Bot Project and 2012 | The Mirror of Aphrodite Maybe some of you have heard of The Web Bot Project, but for those of you who have not, it's quite intriguing. The web bot project, developed in the late 1990's, was created to assist in making stock market predictions. The technology uses a system of spiders to crawl the Internet and search for keywords, much like a search engine does. The web bot project's concept is aimed at tapping into the collective unconscious of the universe and it's inhabitants. You see, this goes a bit deeper than simply viewing what those of us on the Internet are saying. In 2001, the web bot operators began to notice that stock market predictions were not the only matters being accurately predicted by the web bot and they began to take notice of the coincidence with occurrences and explored it further. One of the first accurate predictions from the web bot took place in June of 2001. Regrettably, the program's prediction proved accurate and the Twin Towers fell on 9/11/2001. Big deal?
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EDGE Data Analytics: So, What's Your Algorithm? Supercomputer predicts revolution 9 September 2011Last updated at 15:57 Sentiment mining showed a sharp change in tone around Egypt ahead of President Mubarak's ousting Feeding a supercomputer with news stories could help predict major world events, according to US research. A study, based on millions of articles, charted deteriorating national sentiment ahead of the recent revolutions in Libya and Egypt. While the analysis was carried out retrospectively, scientists say the same processes could be used to anticipate upcoming conflict. The system also picked up early clues about Osama Bin Laden's location. Kalev Leetaru, from the University of Illinois' Institute for Computing in the Humanities, Arts and Social Science, presented his findings in the journal First Monday. Mood and location The study's information was taken from a range of sources including the US government-run Open Source Centre and BBC Monitoring, both of which monitor local media output around the world. Predicting trouble Continue reading the main story