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Posts Tagged 'Data Mining'

Third Workshop on Data Mining for Healthcare Management

No comments October 26th, 2011 No comments
Data mining techniques are helping in various aspects of health management, including disease diagnosis, decision making for treatment, prevention and detection of medical fraud, fault detection of medical devices, strategies health to improve the quality, privacy and efficiency. The Data Mining for Health Management (DMHM) is an emerging field where academic researchers and industry have recognized the potential impact to improve health care through the discovery Read more [...]

Drug Discovery & Data Mining: Scoring Techniques in Pharma

No comments April 13th, 2010 No comments
In a previous post pointed application areas of data mining techniques with strong growth potential within the scope of "health", in sectors such as insurance, pharmaceutical and public administration. The following is one of many examples that will see light in the coming months. In this case, the use of scoring algorithms to predict success / failure of new compounds for drugs. You can view the article in MITnews. Although in its infancy from the industrial point of view, the use of these techniques can accelerate the drug design "smart" algorithms using not Read more [...]

IBM buys SPSS

No comments July 31st, 2009 No comments
IBM announced this week it will buy SPSS for 1,200 mL. dollars. The development in recent years of SPSS from the customer point of view has been terrible in Spain, flying blind in trade policy, and changing course without really knowing where he was the market, while SAS was grabbing share . I think that IBM will be able to manage better, but abandoned emerging lines of analysis and modeling tools for years, wiping out small companies that have promising products. But the most interesting thing is what it means: the world market analytics software Read more [...]

Data Mining: Statistical Aspects

No comments July 12th, 2008 No comments
Stanford University lectures are reporting data mining course for those who can not attend their classes and for the enjoyment of those who have patience to be with some of the best specialists in the field. Recommended to view with time ahead ... last 1 hour.

SVM References

No comments April 24th, 2008 No comments
I've always liked Kernel techniques like the use of wavelets for stock prediction. Within this broad spectrum of techniques based on kernels, I'm pretty impressed with the outcome of the approach of Professor Vapnik, certainly popularized this technique in academic settings and then served to the owner of Netflix to literally 'filthy rich'. Contrary to what you will find published, (for which you use Clementine documentation is painful), one of the propiedadades the use of this technique is low-input space dimensionality measurable or Read more [...]

Data Mining: The Top 10 most common mistakes

No comments March 23rd, 2008 No comments
The difference between the technical knowledge of data mining tools and construction of appropriate models and tools is similar to that between the last buy DIY toolkit in Leroy Merlin and build a house. When I look at the models being used in many companies focused on customer management: up-selling, cross-selling, churn prediction, segmentation ...; usually find the same type of faults in its construction, and do not enter the conceptual shortcomings, something I discuss in another post, Read more [...]