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Analytics

Please check out the Text Analytics Summit, Boston, June 12-13

May 16, 2012 by Seth Grimes
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The Text Analytics Summit was the first business-focused conference dedicated to BI on text, to techniques that turn text into data in the service of diverse applications, and it remains the best. [read more]

Using Cell Phone Data for Social Good

May 16, 2012 by Brett Stupakevich
with 27 views
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When is cell phone data not just cell phone data? When it’s being mined to solve some of the world’s biggest social problems – that’s when. Which is exactly what Nathan Eagle is doing. [read more]

Self-Correcting False Positives/Negatives: Exonerate the Innocent

May 16, 2012 by Jeff Jonas
with 91 views
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This blog entry is dedicated to false positives and false negatives, specifically why it is so essential that systems find and fix them. A false negative occurs when an assertion about something true, is missed e.g., the true perpetrator of a crime is overlooked. A false positive occurs when an assertion is made about something being true when, in fact, it is not true, e.g., when a court convicts someone for a crime he/she did not commit. [read more]

TwitPolls: Some Relevance for Enterprise Technologists

May 15, 2012 by Bob Gourley
with 28 views
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Since TwitPolls has already proven its ability to deliver value and since it is backed by a cadre with proven past performance in building things that scale, it is going to become a part of the fabric of the Internet. [read more]

Is Big Data Causing a Big Brother System in Healthcare?

May 15, 2012 by Brett Stupakevich
with 306 views
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The super hero who will solve this escalating problem? Predictive analytics. This mission is so critical to some healthcare providers such as Heritage Provider Network, a California-based physician group, that there’s a $3 million prize being offered for the algorithm that best predicts which patients will go to the hospital in the next year. [read more]

Outlier Detection in Two Review Articles (Part 1)

May 15, 2012 by Sandro Saitta
with 57 views
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The authors proposes three types of supervisions. In supervised outlier detection we make the assumption that labeled data are available. Semi-supervised outlier detection assumes that only one class of labeled data is available. Techniques which models normal instances as the only class are more popular (since normal instances are easier to obtain). The third approach, unsupervised outlier detection, is the most widely used one. [read more]

Analytics for Creating More Choices

May 15, 2012 by Gary Cokins
with 44 views
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Analytics’ goal should be to gain insights and solve problems, to make better and quicker decisions with more accurate and fact-based data, and to take actions. “Big data” with high performance computing is allowing organizations to deploy business analytics to have more choices and make better decisions. [read more]

How Business Analytics Can Lead to That ‘Aha’ Moment

May 14, 2012 by Brett Stupakevich
with 158 views
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Core insights take data and make forward looking predictions, like how customers will act in the future or where, when and how a market will shift. Gartner Inc. describes analytics as the “combustion engine of business” and notes that the companies that use predictive analytics to analyze voluminous structured and unstructured data will grow 20% more than their competitors. [read more]

Kronos Supercharges Workforce Analytics with New Technology

May 12, 2012 by Mark Smith
with 222 views
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Maximizing cost-effectiveness and productivity is the goal of workforce analytics, and Kronos is focused on that. Kronos also provides workforce management applications, which I recently assessed. Now the company has released a new version of its workforce analytics software. In Kronos Workforce Analytics version 6.3 the technology is complete refreshed with the embedding of MicroStrategy, which is well-known for its robustness in business intelligence and analytics. [read more]

Mariano Rivera’s Baseball Prowess, Illustrated with R

May 11, 2012 by David Smith
with 96 views
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Kevin Quealy, graphics editor at the New York Times, has published another fascinating behind-the-scenes look at how the Times creates data visualizations for print and online. In his latest post, he looks at how a visualization of the Yankee's Mariano Rivera performance compared to other Major League Baseball pitchers was created. [read more]

A Million Monkeys Demonstrate the Power of Hadoop

May 10, 2012 by Alex Olesker
with 172 views
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The idea is that, though at any given instance the chance of a monkey typing a sonnet is essentially zero, with infinite instances it becomes almost certain. Anderson wanted to try this for himself but he didn’t have a million monkeys, a million typewriters, and infinite time and resources, so instead he used his home computer, Amazon’s Elastic Compute Cloud, and Hadoop to achieve the same results. [read more]

Big Data Will Need 1.5 Million Data Scientists | Dice

May 10, 2012 by Vincent Granville
with 249 views
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Turning data into usable information is the toughest part of data science. Gathering data and putting it into charts is straightforward enough, but drawing conclusions from it and forging a plan for the future requires real brain power. [read more]

From Big Data to Smart Data: Supporting Critical Business Decisions

May 10, 2012 by Michael Fauscette
with 124 views
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Last week at Lithium's LiNC event I did a session on big data with Lithium Principal Scientist Dr Michael Wu. It's always a pleasure working with Michael, the session was well attended and the audience was very engaged. Since then I have been thinking about what we presented and I think there were a few key points that are very important... [read more]

Can the Future of Mobile Be Found in Social? CI & CNBC Use Social Media Analytics to Find Out

May 9, 2012 by Jennifer Roberts
with 107 views
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Obviously, there are big changes happening in the mobile space: the recent acquisition of Instagram by Facebook, Google’s purchase of Motorola and T-Mobile’s rebranding ads highlight the dynamic nature of this space. The social aspects will continue to influence both phone adoption and technology enhancements as phone are used for purposes that rely more heavily on a social component, like gaming, sharing photos and music. [read more]

Uncertainty Coefficients for Features Reduction - Comparison with LDA Technique

May 7, 2012 by cristian mesiano
with 68 views
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For text mining I would like to show you one very powerful method, easy to implement and extremely general, because it is not related to the nature of the problem. The method is known as coefficients of constraint (Coombs, Dawes and Tversky 1970) or uncertainty coefficient (Press & Flannery 1988) and it is based on the Mutual Information concept. [read more]

Osama Bin Laden Letters Analyzed

May 7, 2012 by Bob Gourley
with 118 views
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A rapid assessment using Recorded Future’s temporal analytic technologies and intelligence analysis tools. [read more]