All Blog Posts Tagged 'Mining' (10)

Full Tilt Poker: Big Data Fraud Detection and Prevention

Full Tilt Poker is the second largest online poker room; it belongs to Rational FT which is a computer services company that develops software, business computer maintenance and performs operations based digital marketing. http://www.rfts.com/  



Two fundamental points of running a poker room online are the integrity of the site and the trust of customers. Players must be completely sure that they are protected against fraud. Negative publicity…

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Added by Michel Bruley on May 6, 2013 at 1:39am — No Comments

Big Data means to support Buzz Marketing actions

 

What is buzz marketing? In the strict sense of the term, buzz marketing is creating noise around a product, service, company or brand. For example you can recruit consumers, preferably proactive volunteers who influence their peers, and help them to try your products in good condition before pushing them to talk about their experience.



The buzz is one of the most powerful forces in the market, and knowing how to master this important marketing channel is critical. Word of…

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Added by Michel Bruley on March 7, 2013 at 4:21am — No Comments

Big Data: Hadoop is not the universal panacea



IT market studies expert indicate that the advanced analysis of various data and the management of an increasing volume of data, are among the five priorities large enterprises CIOs and companies at the forefront of the world of internet. Big Data is thus increasingly important, and a growing number of companies complete their decision-making infrastructure, with new analytical platforms to improve their efficiency and profitability.



First experiences Big Data observations show…

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Added by Michel Bruley on February 4, 2013 at 10:53pm — No Comments

What Big Data means at LinkedIn?

LinkedIn was founded in 2003, is currently revenue 243 million and employs 1797 people. This is not what we call a large company. However, LinkedIn has 175 million members in 200 countries including 50% outside the U.S., two new members join the network every second, and analysts said that all "executive" of the Global 500 are members. Under these conditions, LinkedIn is facing a high volume of data to process. Indeed their information system must support 2 billion a year of research carried…

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Added by Michel Bruley on December 3, 2012 at 3:16am — No Comments

Big Data: Opinions & Sentiments Analysis

Analyzes of texts put lights in two main types of information “facts and opinions”. Most current treatment methods of textual information aim to extract and use factual information, this is the case for example of research we do on the web. Analysis of opinions is concerned about feelings and emotions expressed in the texts, it has grown much today because of the space taken from the web in our society, and the very large volume of daily comments expressed by consumers with the advent of the…

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Added by Michel Bruley on October 2, 2012 at 10:43pm — 5 Comments

ACM Data Mining Talk: Representing Predictive Solutions with PMML

Talk on PMML and Predictive Analytics to the ACM Data Mining Bay Area/SF group at the LinkedIn auditorium in Sunnyvale, CA.



Abstract: 



Data mining scientists work hard to analyze historical data and to build the best predictive solutions out of it. IT engineers, on the other hand, are usually responsible for bringing these solutions to life, by recoding them into a format suitable for operational deployment. Given that data mining scientists and engineers…

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Added by Alex Guazzelli on October 2, 2012 at 8:12am — No Comments

Which IT infrastructure for Big Data?

A Big Data decision support system requires particular capabilities in terms of volume, variety of data and processing speed.



Today companies to improve their knowledge models and forecasts, do not hesitate to take into account hundreds of factors, and do not hesitate to bring up new means of analysis that can handle large volumes of data. But the processing of large volumes of data is a challenge for traditional BI infrastructure. Storing large volumes is not a problem, but…

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Added by Michel Bruley on July 31, 2012 at 11:03pm — No Comments

The Fallacy of the Data Scientist Shortage

There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.

On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:

 

Duration…

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Added by Neil Raden on June 27, 2012 at 10:00am — No Comments

Data Scientists... and the Rest of Us

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Recently, I’ve been feeling like I’ve stepped through a looking glass to another similar-but-very-different world. I’m steeped in 20+ years in corporate data warehousing and business intelligence practice. Throughout that time, there have been big and small technology improvements, but nothing truly disruptive (although new…

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Added by Stan Mason on April 13, 2012 at 8:30am — No Comments

BIG Data Mining and Predictive Modeling - Plate Tectonics, But Not an Earth Quake

BIG data, Mobile, Web, Cloud - Plate Tectonics, But Not an Earth Quake for Some -The Destruction/Construction of Trillion Dollars Shift in the Next 10 years

The desperation for change worth $100s Billions has started happening.  I see the signs in retail, health, security, and privacy that will get shaken due…
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Added by Patricia Tenanty on April 13, 2012 at 7:30am — No Comments

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