Category: Analytics

JMP Student Edition

I really liked the initiatives at JMP/Academic. Not only they offer the software bundled with a textbook, which is both good common sense as well as business sense given how fast students can get confused

(Rant 1 Bundling with textbooks is something I think is Revolution Analytics should think of doing instead of just offering the academic  version for free downloading- it would be interesting to see the penetration of R academic market with Revolution’s version and the open source version with the existing strategy)

From http://www.jmp.com/academic/textbooks.shtml

Major publishers of introductory statistics textbooks offer a 12-month license to JMP Student Edition, a streamlined version of JMP, with their textbooks.

and a glance through this http://www.jmp.com/academic/pdf/jmp_se_comparison.pdf  shows it is a credible and not extremely whittled down version which would be just dishonest.

And I loved this Reference Card at http://www.jmp.com/academic/pdf/jmp10_se_quick_guide.pdf

 

Oracle, SAP- Hana, Revolution Analytics and even SAS/STAT itself can make more reference cards like this- elegant solutions for students and new learners!

More- creative-rants Honestly why do corporate sites use PDFs anymore when they can use Instapaper , or any of these SlideShare/Scribd formats to show information in a better way without diverting the user from the main webpage.

But I digress, back to JMP

 

Resources for Faculty Using JMP® Student Edition

Faculty who select a JMP Student Edition bundle for their courses may be eligible for additional resources, including course materials and training.

Special JMP® Student Edition for AP Statistics

JMP Student Edition is available in a convenient five-year license for qualified Advanced Placement statistics programs.

Try and have a look yourself at http://www.jmp.com/academic/student.shtml

 

 

 

Obfuscate using Rapid Miner

ob·fus·cate/ˈäbfəˌskāt/

Verb:
  1. Render obscure, unclear, or unintelligible.
  2. Bewilder (someone).

A nice geeky function in Rapid Miner is the Obfuscator

This operator can be used to anonymize your data. It is possible to save the obfuscating map into a fi le which can be used to remap the old values and names. Please use the operator Deobfuscator for this

 

RapidMiner is free for download here (its open source)

http://rapid-i.com/content/view/26/201/

Time Series for Web Analytics

I am mostly language agnostic, though I dislike shoddy design in software (like SAS Enterprise Guide), shoddy websites (like the outdated designed of http://www.r-project.org/ site) , and dishonest marketing in inventing buzz words  (or as they say — excessively dishonest marketing).

At the same time I love nicely designed software (Rattle,Rapid Miner, JMP), great websites for software (like http://rstudio.org/ ) and suitably targeted marketing (like IBM’s) and appreciate intellectual honesty in a field where honest men are rare to find ( http://www.nytimes.com/2012/08/12/business/how-big-data-became-so-big-unboxed.html?_r=1&hpw

I digress- Here are some papers I find interesting to read.

Fun with Rapid Miner

I fired up my Rapid Miner 5.1 and discovered a tonne of features that I cant do with (cough) other software. I think I need to get some training in this or even a live project so I can write more on Rapid Miner.

You need to view in full screen mode if you want to see what I am doing.

Background Music is unrelated!

RCOMM 2012 goes live in August

An awesome conference by an awesome software Rapid Miner remains one of the leading enterprise grade open source software , that can help you do a lot of things including flow driven data modeling ,web mining ,web crawling etc which even other software cant.

Presentations include:

  • Mining Machine 2 Machine Data (Katharina Morik, TU Dortmund University)
  • Handling Big Data (Andras Benczur, MTA SZTAKI)
  • Introduction of RapidAnalytics at Telenor (Telenor and United Consult)
  • and more

Here is a list of complete program

 

Program

 

Time
Slot
Tuesday
Training / Workshop 1
Wednesday
Conference 1
Thursday
Conference 2
Friday
Training / Workshop 2
09:00 – 10:30
 Introductory Speech
Ingo Mierswa (Rapid-I)Resource-aware Data Mining or M2M Mining (Invited Talk)

Katharina Morik (TU Dortmund University)

More information

 

Data Analysis

 

NeurophRM: Integration of the Neuroph framework into RapidMiner
Miloš Jovanović, Jelena Stojanović, Milan Vukićević, Vera Stojanović, Boris Delibašić (University of Belgrade)

 To be announced (Invited Talk)
Andras Benczur 

Recommender Systems

 

Extending RapidMiner with Recommender Systems Algorithms
Matej Mihelčić, Nino Antulov-Fantulin, Matko Bošnjak, Tomislav Šmuc (Ruđer Bošković Institute)

Implementation of User Based Collaborative Filtering in RapidMiner
Sérgio Morais, Carlos Soares (Universidade do Porto)

 Parallel Training / Workshop Session

Advanced Data Mining and Data Transformations

or

Development Workshop Part 2
10:30 – 11:00
Coffee Break
Coffee Break
Coffee Break
11:00 – 12:30
 Data Analysis

Nearest-Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner
Mennatallah Amer, Markus Goldstein (DFKI)

Customers’ LifeStyle Targeting on Big Data using Rapid Miner
Maksim Drobyshev (LifeStyle Marketing Ltd)

Robust GPGPU Plugin Development for RapidMiner
Andor Kovács, Zoltán Prekopcsák (Budapest University of Technology and Economics)

 Extensions

 

Optimization Plugin For RapidMiner
Venkatesh Umaashankar, Sangkyun Lee (TU Dortmund University; presented by Hendrik Blom)

 

Image Mining Extension – Year After
Radim Burget, Václav Uher, Jan Mašek (Brno University of Technology)

Incorporating R Plots into RapidMiner Reports
Peter Jeszenszky (University of Debrecen)
12:30 – 13:30
Lunch
Lunch
Lunch
13:30 – 15:30
 Parallel Training / Workshop Session

Basic Data Mining and Data Transformations

or

Development Workshop Part 1

 Applications

 

Introduction of RapidAnalyticy Enterprise Edition at Telenor Hungary
t.b.a. (Telenor Hungary and United Consult)

 

Application of RapidMiner in Steel Industry Research and Development
Bengt-Henning Maas, Hakan Koc, Martin Bretschneider (Salzgitter Mannesmann Forschung)

A Comparison of Data-driven Models for Forecast River Flow
Milan Cisty, Juraj Bezak (Slovak University of Technology)

Portfolio Optimization Using Local Linear Regression Ensembles in Rapid Miner
Gábor Nagy, Tamás Henk, Gergő Barta (Budapest University of Technology and Economics)

 Extensions

 

An Octave Extension for RapidMiner
Sylvain Marié (Schneider Electric)

 

Unstructured Data

 

Processing Data Streams with the RapidMiner Streams-Plugin
Christian Bockermann, Hendrik Blom (TU Dortmund)

Automated Creation of Corpuses for the Needs of Sentiment Analysis
Peter Koncz, Jan Paralic (Technical University of Kosice)

 

Demonstration: News from the Rapid-I Labs
Simon Fischer; Rapid-I

This short session demonstrates the latest developments from the Rapid-I lab and will let you how you can build powerful analysis processes and routines by using those RapidMiner tools.

 Certification Exam
15:30 – 16:00
Coffee Break
Coffee Break
Coffee Break
16:00 – 18:00
 Book Presentation and Game Show

Data Mining for the Masses: A New Textbook on Data Mining for Everyone
Matthew North (Washington & Jefferson College)

Matthew North presents his new book “Data Mining for the Masses” introducing data mining to a broader audience and making use of RapidMiner for practical data mining problems.

 

Game Show
Did you miss last years’ game show “Who wants to be a data miner?”? Use RapidMiner for problems it was never created for and beat the time and other contestants!

 User Support

Get some Coffee for free – Writing Operators with RapidMiner Beans
Christian Bockermann, Hendrik Blom (TU Dortmund)

Meta-Modeling Execution Times of RapidMiner operators
Matija Piškorec, Matko Bošnjak, Tomislav Šmuc (Ruđer Bošković Institute)

Conference day ends at ca. 17:00.
19:30
Social Event (Conference Dinner)
Social Event (Visit of Bar District)

 

and you should have a look at https://rapid-i.com/rcomm2012f/index.php?option=com_content&view=article&id=65

Conference is in Budapest, Hungary,Europe.

( Disclaimer- Rapid Miner is an advertising sponsor of Decisionstats.com in case you didnot notice the two banner sized ads.)

 

Making Big Data Analytics an API call away

I have compared some of Amazon’s database in the cloud offerings with Google’s and especially the Google BigQuery API in my latest article. With more than 2 years under its belt for development, Google BigQuery API is a good service to test out if you want to reduce dependencies on database vendors.
Read it at
Google BigQuery API Makes Big Data Analytics Easy
http://blog.programmableweb.com/2012/08/07/google-bigquery-api-makes-big-data-analytics-easy/