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Vincent Granville's Blog – April 2011 Archive (9)

Supreme Court to hear data-mining arguments on prescription data

Do states have the right to make doctors' prescription data private? Or do data-mining companies have the right to gather that data and sell it? These are the questions before the U.S. Supreme Court tomorrow, as the justices hear arguments over Vermont's data-mining law. Drugmakers will be watching the case closely because they use that prescription data to market their drugs. But so will other industries that rely on data disclosure--as…

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Added by Vincent Granville on April 26, 2011 at 12:15pm — No Comments

Gartner: BI, Analytics Software Spending Jumps 13.4% | PCWorld

Global spending on BI (business intelligence), analytics and performance management applications jumped 13.4 percent in 2010 to US$10.5 billion, according to figures released Wednesday by analyst firm Gartner. The results reflect the…

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Added by Vincent Granville on April 26, 2011 at 12:02pm — No Comments

My favorite data mining books

In random order... My wife believes that my book choices are based on color, shape, texture, price per page, smell, thickness, decorative value, but really, I buy them (mostly) for content.

  1. Handbook of Natural Language Processing - N. Indurkhya, F. Damerau -- CRC Press, 2010 (658 pp.)
  2. Collective Intelligence - T. Segaran -- O'Reilly, 2007 (334 pp.)
  3. Handbook of fitting statistical distributions with R - Z. Carian, E. Dudewicz - CRC Press, 2010 (1,672…
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Added by Vincent Granville on April 24, 2011 at 5:30pm — 1 Comment

The new generation of data miners, statisticians and scientists

  1. They don't spend much time in developing traditional algorithms anymore (e.g. search engine). They don't reinvent the wheel, they re-use existing algorithms, even though they could do a better job by re-inventing these old algorithms. But they think at significantly improving existing algorithms (e.g. search engine), both from a business and technical point of view. Sometimes they even do a bit of hacking and reverse engineering.
  2. They spend a lot of time identifying useful…
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Added by Vincent Granville on April 23, 2011 at 8:00pm — 4 Comments

Bad Process Kills Good Analytics | ClickZ

n many cases, organizations are still struggling to get the return on investment in their digital analytics that they were originally hoping for or could reasonably expect. Ten years on from when Web analytics started to go mainstream, why is that still the case? If we look at the possible reasons, they tend to lie in the "triumvirate" of technology, people, and processes.

A lot of organizations have access to Web analytics technology and have invested in it heavily over the years.…

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Added by Vincent Granville on April 18, 2011 at 11:02am — No Comments

FICO Webinar on Advanced Analytics to Prevent Insurance Claims Fraud

In 2010, the FBI reported that the total cost of insurance fraud in the United States exceeded $40 billion (USD).  Traditional methods of claims editing and adjudication systems, and even rules-driven fraud detection are limited.  Insurers who want to take a comprehensive approach to fraud management are adopting advanced analytics to identify new patterns and methods of fraud.

Register now and join FICO for a free webinar on…

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Added by Vincent Granville on April 14, 2011 at 2:28pm — 4 Comments

Supreme court argues on value of statistical significance | WSJ

My print column this week examines the concept of statistical significance — a concept that the Supreme Court recently weighed in on, but that remains elusive even to some scientists who use it to determine whether their experimental findings are worth…

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Added by Vincent Granville on April 2, 2011 at 9:39am — No Comments

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