Data Intelligence, Business Analytics
Added by Sandeep Raut on March 7, 2012 at 7:37pm — No Comments
In the last months we discussed a lot about text mining algorithms, I would like for a while focus on data mining aspects.
Today I would talk about one of the most intriguing topics related to data mining tasks: the regression analysis.
...To read the entire post click here
Added by Cristian Mesiano on March 7, 2012 at 2:27pm — No Comments
Ever since the ﬁnancial crisis of the banking system of 2008 - 2010 the paradigm that deposits or other exposures towards major banks are safe has been fundamentally questioned. This put industrial corporates, who to support their business usually need to manage signiﬁcant cash holdings or incur counterparty credit risk via derivatives, in the situation to develop or extend their resources for counterparty credit risk management. This paper provides a…
Added by John A Morrison on March 4, 2012 at 12:30am — No Comments
Read below more about this disruptive technology for Big Data Analytics.
This is probably the most exciting announcement of the last months: Radoop and RapidMiner are partners now! Read below more about this disruptive technology for Big Data Analytics.…Continue
Added by Vincent Granville on March 3, 2012 at 12:00pm — No Comments
Interesting article posted in The Guardian (see below). Here's my answer to this question:
A data scientist (I like the term data wizard better) is someone who can consistently derive money out of data, e.g. working as an employee, consultant or in an other capacity, by providing value to clients or extracting…Continue
Saptarshi Guha / Paul Kidwell / Ryan P. Hafen / William S. Cleveland
Comprehensive visualization that preserves the information in a large complex dataset requires a visualization database (VDB): many displays, some with many pages, and with one or more panels per page. A single display using a speciﬁc display method results from partitioning the data into subsets, sampling the subsets, and applying the method to each sample, typically one per panel.…
Added by John A Morrison on March 2, 2012 at 2:39am — No Comments
We are generating more data than ever before. Thanks to the data scientists who organize and analyze this information, this abundance of Big Data can be harnessed to serve the public interest in innovative ways.
Big Data for the Public Good is a four-part seminar series hosted by Code for America in San…Continue
Added by Vincent Granville on February 29, 2012 at 10:00pm — No Comments
In the last two post we have discussed about co - occurrences analysis to extract features in order to classify documents and extract "meta concepts" from the corpus.
We have also noticed that this approach doesn't return better than the traditional bag of words.
I would now explore some derivation of this approach, taking advantage of the graph theory.
the graph of the co occurrences is really huge and complex, how could we reduce its complexity without big information…Continue
Added by Cristian Mesiano on February 29, 2012 at 1:59pm — No Comments
StatSoft’s (www.statsoft.com) STATISTICA Decisioning Platform™ is the only enterprise predictive analytics and decision management software platform to…
Added by Vincent Granville on February 29, 2012 at 9:55pm — No Comments
Many customer behaviors have the flavor of a choice between two alternatives: Yes or no. Buy or sell. Renew or cancel. Suppose software called a “classifier” is available to predict customer choices in advance. Would you use it? Perhaps you’d like to test it to see how well it performs before you commit. In this installment of my series on the nuts and bolts of data mining, I discuss the use of classifiers and questions about their performance. Regarding performance, we specifically…Continue
Added by Daniel Graettinger on February 27, 2012 at 10:29am — No Comments
Quantifying of Extreme Events
Vicky Fasen Claudia Kluppelberg Annette Menzel
September 28, 2011
abstract / summary
Understanding and managing risks due extreme events is one of the most demanding topics of our society. We consider this problem as a statistical problem and present some of the probabilistic and statistical theory, which was developed to model and quantify extreme events. By the very nature of an extreme event…
Added by John A Morrison on February 24, 2012 at 9:10am — No Comments
The text analytic market is set to exceed £635mln as businesses look to capture customer sentiment to gain competitive advantage.
Companies from industries as diverse as financial services, pharmaceuticals and online retail are today looking to harness the voice of the customer across social networks to improve their services.
The technology to capture customer sentiment is becoming increasingly sophisticated, responsive, and flexible to distinct business needs. Despite the…Continue
Added by Vincent Granville on February 21, 2012 at 5:23pm — No Comments
I believe so. Here are some interesting thoughts on this:
You talk to a mortgage adviser at (say) Wells Fargo bank. You are interested in financing, own > 50%, have 2 salaries (your wife + yourself) that represents more than 50% of the amount you want to refinance, can make a 30% down payment and have an external income…Continue
Detecting Economic Events Using a Semantics-Based Pipeline
Alexander Hogenboom, Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Otto van der Meer, and Kim Schouten
Erasmus University Rotterdam
In today's information-driven global economy, breaking news on economic…Continue
Added by John A Morrison on February 21, 2012 at 8:10am — No Comments
From Semantic Search & Integration to Analytics
LSDIS lab, University of Georgia, 415 Graduate Studies Research Center,
Athens, GA 30602-7404
Semagix Inc., 297 Prince Avenue,
Athens, GA 30601
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the next generation of enterprise content management. Ontology is the centerpiece of the most prevalent semantic technologies…Continue
Added by John A Morrison on February 21, 2012 at 6:30am — No Comments
We have seen few posts ago an approach to extract meta "concepts" from text based on latent semantic paradigm.
In this post we apply this approach to classify documents, and we do a comparison between this approach and the canonical bag of words.
The comparison test will be done through the ensemble method already showed in the last post.
To read the entire post click …Continue
Added by Cristian Mesiano on February 20, 2012 at 7:22am — No Comments
This came in my mailbox as a sales pitch by Autobox, however I thought that it is interesting:
Since we are always interested in learning about how others do time series and testing how our approaches work vis-à-vis other dated procedures, we pursued the data and would like to share our results.
Sometimes in an…
Added by Vincent Granville on February 16, 2012 at 10:00pm — No Comments