Comment by consultsp on May 5, 2008 at 6:45am

What are the most popular software used in the database marketing?

Comment by Surya on June 19, 2008 at 2:35am

Hi, i am not sure how to post the question, as i dont have perfect words for it.

can any one tell me, how to find or compute expenditure on various advertising activities, above which if i spend, i might come across drecreasing sales. Did any one model any such task?

regards

Surya

Comment by Debbie Peters on August 14, 2008 at 10:56am

Can anbody tell me what site is considered best for networking analytics professionals other than Analytic Bride and LinkedIn?

Comment by Ahmad Jafari on December 22, 2008 at 11:55pm

I am so lucky to know this website!

Comment by Ahmad Jafari on December 22, 2008 at 11:57pm

Dear All:
In advance, I would like to heartily congratulate you and your dear family memebers and all your countryment on the arrival of the Merry Christmas and a Happy New Year!
Happy new year!
2009
Merry Christmas!
With my very best personal wishes to you all and your families: health, wealth and prosperity.
Ahmad Jafari

Comment by Steve Iaquaniello on May 21, 2009 at 7:38am

Hello everyone. My name is Steve Iaquaniello. My position at my job was recently eliminated and I’m seeking work in the Detroit, Michigan, USA, area.

I’m an accomplished data analyst with a master’s degree in applied statistics and extensive professional experience. I have in depth knowledge of data mining, mathematical modeling, and strong software skills including proficiency in: SAS, R/SPlus, and SQL. I an articulate communicator who has demonstrated: team leadership abilities, client relationship skills, and technical and analytic thought leadership.

If anyone has any contacts, or knows of any openings, I would greatly appreciate it. Thanks.

Comment by Thomas Glenn McKee Jr on December 29, 2009 at 12:37pm

When I started doing pharmaceutical marketing analysis for a contract sales organization (CSO) after leaving the hard sciences, I kept asking them about what metrics would matter or be interesting to them. I was never completely satisfied and spend some effort experimenting with various statistical reports to learn if they would take an interest or use them. (It is a dull feeling when you spend more time and effort generating the automated report than they spend reviewing it.)

I recently found Marketing Metrics: 50+ Metrics Every Executive Should Master by Paul W. Farris Neil T Bendle, Philip E Pfeifer, and David J Reibstein of the Wharton School Publishing Marketing Metrics series. It is serving as my current domain expert for analysis of marketing information.

Comment by Vera Klimkovsky on February 22, 2011 at 12:26am

ACM Talk on February 28 Monday at LinkedIn (Mountain View, CA)

 

Title: Heuristic Design of Experiments with Meta-Gradient Search of Model Training Parameters
 
http://www.sfbayacm.org/?p=2464

LOCATION: LinkedIn, 2025 Stierlin Ct, Mountain View, CA 94043

Date: Monday February 28, 2011; 6:30 pm 6:30 – 9:00 pm (6:30 –
7:00 networking & snacks; 7:00 – 7:10 announcements; 7:10+
presentation, Q&A)

Cost: Free and open to all who wish to attend, but membership
is only $20/year. Anyone may join our mailing list at no
charge, and receive announcements of upcoming events.

Speakers: Greg Makowski

Title: Heuristic Design of Experiments with Meta-Gradient
Search of Model Training Parameters

Abstract:

Key questions discussed include: as a data miner with many algorithms and software available, how to stay organized with all the choices that can be varied during a project?  Choices to search frequently include a) algorithm parameters, b) cost-profit (related to Type 1 vs 2) error bias, c) definition of the target field, d) boosting, bagging, ensemble model combining or stacking, and e) iterating over data versions in an Agile process.  How should you plan, how can you best learn as you go?  Should you constrain your algorithm choices if you need to describe your resulting data mining system?

As an example, SAS Enterprise Miner’s model training parameters are organized in a “scientific or laboratory notebook” for computational experiments, what I call a “model notebook” data structure to help plan a Design Of Experiments (DOE).  A meta-heuristic search process is described to plan and search the many model parameters and data mining choices.  The search process is related to gradient descent, only on model training parameters and project choices instead of on model weights.  A brief overview of sensitivity analysis is provided to describe how any arbitrarily complex system can be described to a reasonable level of detail, both globally and at the record level (if you need reason codes for each forecast produced).

Biography:

Greg Makowski is the Director of Risk Analytics and Policy at CashEdge, in Sunnyvale, CA.  His data mining group forecasts fraud detection and identity theft for electronic funds transfer.  CashEdge integrates as a SaaS with over 700 banks providing features like Pay Other People (with your cell phone or email), mov

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