Data Intelligence, Business Analytics
Big Data for the Public Good - Seminar Series
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…
ContinueAdded by Vincent Granville on February 29, 2012 at 10:00pm — No Comments
STATISTICA Decisioning Platform™ Profiled in Review of Decision Management Solutions
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
Features Extraction: Co-occurrences and Graph clustering
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…
ContinueAdded by Cristian Mesiano on February 29, 2012 at 1:59pm — No Comments
Hadoop with Hive or a RDBMS? Learn when to use which!
|
Added by Vincent Granville on February 28, 2012 at 3:00pm — No Comments
New Article on Data Mining: Classifiers & the ROC Curve
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…
ContinueAdded by Daniel Graettinger on February 27, 2012 at 10:29am — No Comments
Compound scenarios: An efficient framework for integrated market-credit risk : ALGORITHMICS
or HOW ALGORITHMICS DOES IT !!!
Compound scenarios: An efficient framework for integrated market-credit risk
Ben De Prisco, Ian Iscoe, Yijun Jiang, Helmut Mausser
http://www.algorithmics.com/en/media/pdfs/algo-ra0507-arps-compoundscenarios.pdf
Added by John A Morrison on February 24, 2012 at 9:23am — No Comments
Quantifying of Extreme Events
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 PREDICTIVE POWER OF THE YIELD CURVE ACROSS COUNTRIES AND TIME
Menzie D. Chinn, Kavan J. Kucko
Working Paper 16398
http://www.nber.org/papers/w16398
NATIONAL BUREAU OF ECONOMIC RESEARCH
ABSTRACT
In recent years, there has been renewed interest in the yield curve (or alternatively, the term premium) as a predictor of future economic activity. In this paper, we re-examine the evidence for this predictor, both for the United States, as well as…
Added by John A Morrison on February 22, 2012 at 1:56am — No Comments
Are 4% mortgage interest rates a mirage?
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…
ContinueAdded by Vincent Granville on February 21, 2012 at 6:30pm — 6 Comments
Attensity, Teradata and Anderson Analytics talk on the future of text analytics
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…
ContinueAdded by Vincent Granville on February 21, 2012 at 5:23pm — No Comments
Detecting Economic Events Using a Semantics-Based Pipeline
Detecting Economic Events Using a Semantics-Based Pipeline
http://people.few.eur.nl/fhogenboom/papers/dexa11-speed.pdf
Alexander Hogenboom, Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Otto van der Meer, and Kim Schouten
Erasmus University Rotterdam
Abstract.
In today's information-driven global economy, breaking news on economic…
ContinueAdded by John A Morrison on February 21, 2012 at 8:10am — No Comments
Irrationality or Efficiency of Macroeconomic Survey Forecasts?
Irrationality or Efficiency of Macroeconomic Survey Forecasts?
Implications from the Anchoring Bias Test
Abstract
We analyze the quality of macroeconomic survey forecasts. Recent findings indicate that they are anchoring biased. This irrationality would challenge the results of a wide range of empirical studies, e.g., in asset pricing, volatility clustering or market liquidity, which rely on survey data to capture market participants’…
Added by John A Morrison on February 21, 2012 at 7:00am — No Comments
From Semantic Search & Integration to Analytics
From Semantic Search & Integration to Analytics
Amit Sheth
LSDIS lab, University of Georgia, 415 Graduate Studies Research Center,
Athens, GA 30602-7404
Semagix Inc., 297 Prince Avenue,
Athens, GA 30601
Abstract.
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…
ContinueAdded by John A Morrison on February 21, 2012 at 6:30am — No Comments
Data Science Central Exclusive: Get Featured in Rick Smolan's "The Human Face of Big Data"
Document Classification: latent semantic vs bag of words. Who is the best?
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 …
ContinueAdded by Cristian Mesiano on February 20, 2012 at 7:22am — No Comments
Example of Bad Analytics and How to Remedy it
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
J.D. Opdyke, Author: A Unified Approach to Algorithms Generating Unrestricted and Restricted Integer Compositions and Integer Partitions, J. of Mathematical Modelling and Algorithms, 2010, 9(1), 53-97
An original algorithm is presented that generates both restricted integer compositions and restricted integer partitions that can be constrained simultaneously by a) upper and lower bounds on the number of summands (“parts”) allowed, and b) upper and lower bounds on the values of those parts. The algorithm is recursive, based directly on very fundamental mathematical constructs, and reasonably fast with good time complexity. General solutions to the open problems of counting the number of…
ContinueAdded by J.D. Opdyke on February 15, 2012 at 10:47am — No Comments
J.D. Opdyke, Author: A Unified Approach to Algorithms Generating Unrestricted and Restricted Integer Compositions and Integer Partitions, J. of Mathematical Modelling and Algorithms, 2010, 9(1), 53-97
An original algorithm is presented that generates both restricted integer compositions and restricted integer partitions that can be constrained simultaneously by a) upper and lower bounds on the number of summands (“parts”) allowed, and b) upper and lower bounds on the values of those parts. The algorithm is recursive, based directly on very fundamental mathematical constructs, and reasonably fast with good time complexity. General solutions to the open problems of counting the number of…
ContinueAdded by J.D. Opdyke on February 15, 2012 at 10:34am — No Comments
10+ Great Metrics and Strategies for Email Campaign Optimization
This is our first article in a series about good actionable KPI's to optimize various ROI. Future articles will focuse on metrics for fraud detection, user engagement etc. This one focuses on newsletter optimization.
If you run an online newsletter, here are a number of metrics you need to track:…
ContinueAdded by Vincent Granville on February 12, 2012 at 8:00pm — 2 Comments
The Age of Big Data | New York Times
By STEVE LOHR. GOOD with numbers? Fascinated by data? The sound you hear is opportunity knocking.…
ContinueAdded by Vincent Granville on February 12, 2012 at 10:29am — No Comments
2013
2012
2011
2010
2009
2008
© 2013 AnalyticBridge.com is a subsidiary and dedicated channel of Data Science Central LLC