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 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)
Recommender Systems
Extending RapidMiner with Recommender Systems Algorithms |
Parallel Training / Workshop Session Advanced Data Mining and Data Transformations or Development Workshop Part 2 |
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10:30 - 11:00 |
Coffee Break |
Coffee Break |
Coffee Break |
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11:00 - 12:30 |
Data Analysis |
Extensions Optimization Plugin For RapidMiner
Image Mining Extension - Year After |
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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 Development Workshop Part 1 |
Applications Introduction of RapidAnalyticy Enterprise Edition at Telenor Hungary
Application of RapidMiner in Steel Industry Research and Development |
Extensions
An Octave Extension for RapidMiner
Unstructured Data
Processing Data Streams with the RapidMiner Streams-Plugin
Demonstration: News from the Rapid-I Labs |
Certification Exam |
15:30 - 16:00 |
Coffee Break |
Coffee Break |
Coffee Break |
|
16:00 - 18:00 |
Book Presentation and Game Show 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 |
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19:30 |
Social Event (Conference Dinner) |
Social Event (Visit of Bar District) |
Lunch break is between 12:30 and 13:30. Two half-hour coffee breaks will take place between 10:30 and 11:00 as well as between 15:30 and 16:00 on each conference day.
Training: Basic Data Mining and Data Transformations
This is a short introductory training course for users who are not yet familiar with RapidMiner or only have a few experiences with RapidMiner so far. The topics of this training session include
- Basic Usage
- User Interface
- Creating and handling RapidMiner repositories
- Starting a new RapidMiner project
- Operators and processes
- Loading data from flat files
- Storing data, processes, and results
- Predictive Models
- Linear Regression
- Naïve Bayes
- Decision Trees
- Basic Data Transformations
- Changing names and roles
- Handling missing values
- Changing value types by discretization and dichotimization
- Normalization and standardization
- Filtering examples and attributes
- Scoring and Model Evaluation
- Applying models
- Splitting data
- Evaluation methods
- Performance criteria
- Visualizing Model Performance
Training: Advanced Data Mining and Data Transformations
This is a short introductory training course for users who already know some basic concepts of RapidMiner and data mining and have already used the software before, for example in the first training on Tuesday. The topics of this training session include
- Advanced Data Handling
- Sampling
- Balancing data
- Joins and Aggregations
- Detection and removal of outliers
- Dimensionality reduction
- Control process execution
- Remember process results
- Recall process results
- Loops
- Using branches and conditions
- Exception handling
- Definition of macros
- Usage of macros
- Definition of log values
- Clearing log tables
- Transforming log tables to data
Development Workshop Part 1 and Part 2
Want to exchange ideas with the developers of RapidMiner? Or learn more tricks for developing own operators and extensions? During our development workshops on Tuesday and Friday, we will build small groups of developers each working on a small development project around RapidMiner. Beginners will get a comprehensive overview of the architecture of RapidMiner before making the first steps and learn how to write own operators. Advanced developers will form groups with our experienced developers, identify shortcomings of RapidMiner and develop a new extension which might be presented during the conference already. Unfinished work can be continued in the second workshop on Friday before results might be published on the Marketplace or can be taken home as a starting point for new custom operators.
For details: http://www.rcomm2012.com/index.php/program