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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)
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language agnostic, though I dislike shoddy design in software (like SAS Enterprise Guide), shoddy websites (like the outdated designed of http://www.r-project.org/ site) , and dishonest marketing in inventing buzz words (or as they say — excessively dishonest marketing).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.
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!
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:
Here is a list of complete program
Time
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Tuesday
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Wednesday
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Thursday
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Friday
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09:00 – 10:30 |
Introductory Speech Ingo Mierswa (Rapid-I)Resource-aware Data Mining or M2M Mining (Invited Talk) Katharina Morik (TU Dortmund University)
Data Analysis
NeurophRM: Integration of the Neuroph framework into RapidMiner |
To be announced (Invited Talk) Andras Benczur Recommender Systems
Extending RapidMiner with Recommender Systems Algorithms Implementation of User Based Collaborative Filtering in RapidMiner |
Parallel Training / Workshop Session
Advanced Data Mining and Data Transformations or |
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10:30 – 11:00 |
Coffee Break |
Coffee Break |
Coffee Break |
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11:00 – 12:30 |
Data Analysis
Nearest-Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner Customers’ LifeStyle Targeting on Big Data using Rapid Miner Robust GPGPU Plugin Development for RapidMiner |
Extensions
Optimization Plugin For RapidMiner
Image Mining Extension – Year After Incorporating R Plots into RapidMiner Reports |
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12:30 – 13:30 |
Lunch |
Lunch |
Lunch |
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13:30 – 15:30 |
Parallel Training / Workshop Session
Basic Data Mining and Data Transformations or |
Applications
Introduction of RapidAnalyticy Enterprise Edition at Telenor Hungary
Application of RapidMiner in Steel Industry Research and Development A Comparison of Data-driven Models for Forecast River Flow Portfolio Optimization Using Local Linear Regression Ensembles in Rapid Miner |
Extensions
An Octave Extension for RapidMiner
Unstructured Data
Processing Data Streams with the RapidMiner Streams-Plugin Automated Creation of Corpuses for the Needs of Sentiment Analysis
Demonstration: News from the Rapid-I Labs 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 |
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16:00 – 18:00 |
Book Presentation and Game Show
Data Mining for the Masses: A New Textbook on Data Mining for Everyone 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 |
User Support
Get some Coffee for free – Writing Operators with RapidMiner Beans Meta-Modeling Execution Times of RapidMiner operators Conference day ends at ca. 17:00. |
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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.)
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/
The lovely lovely diagram at https://developer.linkedin.com/documents/oauth-overview is worth a thousand words and errors.
Very useful if you are trying to coax rCurl to do the job for you.
Also a great slideshare in Japanese (no! Google Translate didnt work on pdf’s and slideshares and scribds (why!!) but still very lucid on using OAuth with R for Twitter.
Why use OAuth- you get 350 calls per hour for authenticated sessions than 150 calls .
I tried but failed using registerTwitterOAuth
There is a real need for a single page where you can go and see which social netowork /website is using what kind of oAuth, which url within that website has your API keys, and the accompanying R Code for the same. Google Plus,LinkedIn, Twitter, Facebook all can be scraped better by OAuth. Something like this-
From the creator of some of the most widely used packages for time series in the R programming language comes a brand new book, and its online!
This time the book is free, will be updated and 7 chapters are ready (to read!)
. If you do forecasting professionally, now is the time to suggest your own use cases to be featured as the book gets ready by end- 2012. The book is intended as a replacement for Makridakis, Wheelwright and Hyndman (Wiley 1998).
The book is written for three audiences:
(1) people finding themselves doing forecasting in business when they may not have had any formal training in the area;
(2) undergraduate students studying business;
(3) MBA students doing a forecasting elective.
The book is different from other forecasting textbooks in several ways.
- It is free and online, making it accessible to a wide audience.
- It is continuously updated. You don’t have to wait until the next edition for errors to be removed or new methods to be discussed. We will update the book frequently.
- There are dozens of real data examples taken from our own consulting practice. We have worked with hundreds of businesses and organizations helping them with forecasting issues, and this experience has contributed directly to many of the examples given here, as well as guiding our general philosophy of forecasting.
- We emphasise graphical methods more than most forecasters. We use graphs to explore the data, analyse the validity of the models fitted and present the forecasting results.
A print version and a downloadable e-version of the book will be available to purchase on Amazon, but not until a few more chapters are written.
(Ajay-Support the open textbook movement!)
If you’ve found this book helpful, please consider helping to fund free, open and online textbooks. (Donations via PayPal.)
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