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All Blog Posts Tagged 'mining' (39)

Using Data Mining techniques to predict the Olympics Medal Count

Is it possible to use data mining techniques to predict how many medals each nation will win at the Olympic Games?  What is it about a nation that allows it to produce Olympic medal-winning athletes?  Why do some countries take home a bundle of medals while others don't?  As we think more and more about it, it quickly becomes clear that the why’s behind the medal counts at the Olympics are complex.…


Added by Daniel Graettinger on July 26, 2012 at 1:42am — No Comments

Article: Nuts & Bolts of DM - The Histogram

For all the strides that data mining tools have made, using them well still requires hard work and critical thought.  In this article on the nuts & bolts of DM, we review a real workhorse for data mining and analysis - the histogram.  Among the histograms encountered most frequently in practice are the following: “money”, “count”, and “outlier”.  We will look at each one of them in turn….     Read the…


Added by Daniel Graettinger on June 19, 2012 at 7:07pm — No Comments

The Netflix Prize, Occam's Razor and PMML

I just finished reading an excellent posting on the Netflix Tech Blog by Xavier Amatriain and Justin Basilico. Entitled "Netflix Recommendations: Beyond the 5 stars (Part 1)", it gives a very nice account of the actual application of the 107 algorithms submitted as the winner solution to the…


Added by Alex Guazzelli on May 7, 2012 at 10:54am — No Comments

Article: MORE Frequently-Asked Questions about Data Mining

Another recent article from Discovery Corps, Inc. president Tim Graettinger:   Grab Bag 2:  More Frequently-Asked Questions about Data Mining.  

"While helping present a monthly webinar on Data Mining, I'm asked some challenging and really pivotal questions about DM and predictive analytics:  

  1. How much data do I need? 
  2. Why doesn't my predictive model perform as well on new data as it did on the training data?
  3. Are new DM algorithms needed to…

Added by Daniel Graettinger on January 23, 2012 at 1:26pm — 1 Comment

Setting up a cross-selling model

Cross selling campaigns aim at selling additional products to existing customers. 

A cross selling model estimates the propensity to uptake an add-on product for each scored customer.

A cross selling model can be built on the results of a test campaign to analyze respondents and identify customers with increased purchase potentials.

An easier approach which does not require the running of a test campaign, is to analyze the profile of customers who acquired the product of… Continue

Added by ANTONIOS CHORIANOPOULOS on October 26, 2011 at 2:07am — 1 Comment

Find value in online/social text and sentiment: free report, conferences

This is a quick entry to tell you about three things --

- My free report, "Text/Content Analytics 2011: User Perspectives on Solutions and Providers," is out. Are you looking for business value in "unstructured" social, online, or enterprise sources? My report will provide background information and "wisdom of the crowds" guidance you can use. Download the report free via

- For a deeper dive into…


Added by Seth Grimes on October 8, 2011 at 8:08pm — 1 Comment

Another article from my company: Going Green with Data Mining

I thought I'd post another article from my company's president, Tim Graettinger.  Here's a little intro:  "More and more individuals and firms are taking steps to reduce their carbon footprints.  What about data mining - can it contribute to a company's efforts to have a positive impact on the environment?  My answer is an unequivocal 'yes', and in this article you'll learn the reasons why.  We'll explore a sampler platter of data mining applications that can benefit you, your company, your… Continue

Added by Daniel Graettinger on June 20, 2011 at 8:09pm — No Comments

New article on Data Mining-- "Grab Bag: Frequently-Asked Data Mining Questions and Answers"

The president of the data mining company I work for recently published a new article on data mining.  This article from Tim Graettinger addresses some of the top questions he's been asked during a webinar on data mining that he helps to present:

  • What tools or tool sets does he recommend?
  • How can I get management to 'buy in' on a data mining project?
  • How can I transform non-numeric data so I can use it easily in predictive modeling?
His responses… Continue

Added by Daniel Graettinger on May 10, 2011 at 6:59pm — No Comments

any ideas for data mining contest?

If you have a data mining problem that you would like to share or organize a challenge for your friends or studets, you may do this for free on TunedIT website. You may use it as a more creative method of working on a project, to evaluate progress of your students or as a way of  proving who is right in a bet :)

To launch a competition, please follow the link:


Added by magdalena pancewicz on December 20, 2010 at 7:57am — No Comments

Summarization of Blog posts with "Web Pulse" Reports

In the past couple of months i was looking for a way to best capture and understand what happens on the Web -and more specifically what people write in blogs- in terms of sentiment and emerging trends. The first thing that i came up with was the the idea of creating a…

Added by Themos Kalafatis on July 30, 2010 at 8:07am — No Comments

A bioinformatics competition to better understand HIV

According to the World Health Organization, HIV has caused 25 millions deaths worldwide since it was first recognized in 1981. In recent years, the infection has been managed with a collection of therapies. However, the virus will likely evolve around these drugs, making it crucially important that we get a better understanding of the virus itself.

An important step in understanding the virus is to get a handle on its genetic blueprint. William Dampier of Drexler University is hosting… Continue

Added by Anthony Goldbloom on April 27, 2010 at 8:44pm — 2 Comments

Will make two presentations at COLLABORATE 10 – IOUG (Independent Oracle User Group) Forum

COLLABORATE 10 – IOUG (Independent Oracle User Group) Forum April 18-22,2010, Las Vegas, Nevada
1. Building a Check Fraud Detection System Using Oracle 11g and Oracle Data Mining, April 20, 2010
2. Building a Card Fraud Reporting Portal, April 22, 2010

Added by Jiang (Jay) Zhou on December 11, 2009 at 9:44pm — No Comments

Monitoring brand using discourse analysis

I have submitted a post on my blog to describe the basics of monitoring brand using discourse analysis. See

Added by Andrzej Góralczyk on August 28, 2009 at 3:57pm — 1 Comment

in-database data mining

I have been building data mining solutions within relational databases. Almost every process is done within the database environment. We enjoy the functions provided by databases: security, scalability, analytic functions, manageability, easy model deployment, SQL, etc. Since data mining is done on the server side, the crash of my laptop hard drive has minimum impact on my work (it happened twice in the last two years).

Added by Jiang (Jay) Zhou on August 23, 2009 at 10:49am — 3 Comments

Inference for R version 3.5: Inference in PowerPoint Makes its Debut

I am happy to announce the release of Inference for R version 3.5. This is a significant release for Inference that includes several major features requested by users:

• Inference in PowerPoint: Embed and run R code in PowerPoint presentations just as you can in Word and Excel.

• Run-in-Place: Execute R code inside of an Excel, Word, or PowerPoint document and see the code results immediately in the same document – “preview” how your document will execute without having to… Continue

Added by Ben Hinchliffe on June 18, 2009 at 2:55pm — No Comments

Easy text extraction of SEC filings (DEF-14, 10 K), patents, or any other semi-structured - demo at

Executable demo at t

I am fairly newbie to text mining. I found the "document extraction" problem interesting, esp. for SEC docs - in a generic way that can be applied to any doc with latin chars. I think the generic text mining problem from documents has practical use, and dont really have an idea how satisfactorily it has been solved, would like to have your views...

While doing this, I do not know how many conventional approaches I… Continue

Added by Kinshuk Adhikary on June 2, 2009 at 9:24pm — 2 Comments

Sophisticated time series analysis in Excel with Inference for R

Inference for R places the power of R statistical analysis software inside the productivity rich environment of MS Office. With Inference for R you can combine R code, data, and text in Excel, Word, and PowerPoint documents to create reports and deploy analysis solutions.

While Excel spreadsheets are an excellent tool for simple analysis, they are ill suited for performing complex analysis… Continue

Added by Ben Hinchliffe on May 26, 2009 at 7:30am — No Comments

Emotions, Beliefs and Analytics

(From lifeanalytics)

When i first came across Data Mining and Machine Learning in 1997 i had no idea of the kind of applications that this field can have. As time passes by, the knowledge that can be available to a data/text miner becomes more and more a serious business....actually, a very serious one.

Not long time ago i have seen a presentation where a map of emotions from the web was created in real time by aggregating… Continue

Added by Themos Kalafatis on January 12, 2009 at 7:48am — No Comments

Data Mining Definition

Having read from great authors and researchers, I had always taken the definition of data mining for granted. Following the tradiitons of Occam's Razor, I tried to summarize one myself but felt the difficulty of covering the entire spectrum of data mining which is ever evolving. Anyways, here is my try...

Data Mining is a process of extraction of non-trivial patterns from massive datasets which either provides descriptive insights of the data (not perceived without this… Continue

Added by Atif Abdul-Rahman on February 27, 2008 at 1:14pm — 2 Comments

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