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.)

 

Interview Karen Lopez Data Modeling Expert

Zachman Framework
Image via Wikipedia

Here is an interview with Karen Lopez who has worked in data modeling for almost three decades and is a renowned data management expert in her field.

Data professionals need to know about the data domain in addition to the data structure domain – Karen Lopez

Ajay- Describe your career in science. How would you persuade younger students to take more science courses.

Karen- I’ve always had an interest in science and I attribute that to the great science teachers I had. I studied information systems at Purdue University though a unique program that focuses on systems analysis and computer technologies. I’m one of the few who studied data and process modeling in an undergraduate program 25+ years ago.

I believe that it is very important that we find a way of attracting more scientists to teach. In both the natural and computer sciences, it’s difficult for institutions to tempt scientists away from professional positions that offer much greater compensation. So I support programs that find ways to make that happen.

Ajay- If you had to give advice to a young person starting their career in BI and had to give them advice in just three points – what would they be?

Karen- Wow. It’s tough to think of just three things, but these are recommendations that I make often:

– Remember that every design decision should be made based on cost, benefit, and risk. If you can’t clearly describe these for every side of a decision, then you aren’t doing design; you are guessing.

– No one beside you is responsible for advancing your skills and keeping an eye on emerging practices. Don’t expect your employer to lay out a career plan that is in your best interest. That’s not their job. Data professionals need to know about the data domain in addition to the data structure domain. The best database or data warehouse design in the world is worse than uses useless if the how the data is processed is wrong. Remember to expand your knowledge about data, not just the data structures and tools.

– All real-world work involves collaboration and negotiation. There is no one right answer that works for every situation. Building your skills in these areas will pay off significantly.

Ajay- What do you think is the best way for a technical consultant and client to be on the same page regarding requirements. Which methodology or template have you used, and which has given you the most success.

Karen- While I’m a huge fan of modeling (data modeling and other modeling), I still think that giving clients a prototype or mockup of something that looks real to them goes a long way. We need to build tools and competencies to develop these prototypes quickly. It’s a lost art in the data world.

Ajay- What are the special incentives that make Canada a great place for tech entrepreneurs rather than say go to the United States. ( Note- Disclaimer I have family in Canada and study in the US)

Karen- I prefer not to think of this as an either-or decision. I immigrated to Canada from the US about 15 years ago, but most of our business is outside of Canada. I have enjoyed special incentives here in Canada for small businesses as well as special programs that allowed me to work in Canada as a technical professional before I moved here permanently.

Overall, I have found Canadian employers more open to sponsoring foreign workers and it is easier for them to do so than what my US clients experience. Having said that, a significant portion of my work over the last few years has been on global projects where we leverage online collaboration tools to meet our goals. The advent of these tools has made it much easier to work from wherever I am and to work with others regardless of their visa statuses.

Where a company forms is less tied to where one lives or works these days.

Ajay- Could you tell us more about the Zachman framework (apart from the wikipedia reference)? A practical example on how you used it on an actual project would be great.

Karen- Of course the best resource for finding out about the Zachman framework is from John Zachman himself http://www.zachmaninternational.com/index.php/home-article/13 . He offers some excellent courses and does a great deal of public speaking at government and DAMA events. I highly recommend anyone interested in the Framework to hear about it directly from him.

There are many misunderstandings about John’s intent, such as the myth that he requires big upfront modeling (he doesn’t), that the Framework is a methodology (it isn’t), or that it can only be used to build computer systems (it can be used for more than that).

I have used the Zachman Framework to develop a joint Business-IT Strategic Information Systems Plan as well as to inventory and track progress of multi-project programs. One interesting use was a paper I authored for the Canadian Information Processing Society (CIPS) on how various educational programs, specializations, and certifications map to the Zachman Framework. I later developed a presentation about this mapping for a Zachman conference.

For a specific project, the Zachman Framework allows business to understand where their enterprise assets are being managed – and how well they are managed. It’s not an IT thing; it’s an enterprise architecture thing.

Ajay- What does Karen Lopez do for fun when not at work, traveling, speaking or blogging.

Karen- Sometimes it seems that’s all I do. I enjoy volunteering for IT-related organizations such as DAMA and CIPS. I participate in the accreditation of college and university educational programs in Canada and abroad. As a member of data-related standards bodies, namely the Association for Retail Technology Standards and the American Dental Association, I help develop industry standard data models. I’ve also been a spokesperson for a CIPS program to encourage girls to take more math and science courses throughout their student careers so that they may have access to great opportunities in the future.

I like to think of myself as a runner; last year I completed my first half marathon, which I’d never thought was possible. I am studying Hindi and Sanskrit. I’m also a addicted to reading and am thankful that some of it I actually get paid to do.

Biography

Karen López is a Senior Project Manager at InfoAdvisors, Inc. Karen is a frequent speaker at DAMA conferences and DAMA Chapters. She has 20+ years of experience in project and data management on large, multi-project programs. Karen specializes in the practical application of data management principles. Karen is also the ListMistress and moderator of the InfoAdvisors Discussion Groups at http://www.infoadvisors.com. You can reach her at www.twitter.com/datachick