|RapidMiner, Book||7 Dec 2011|
|Call for Chapters for a RapidMiner Book on Use Cases by Ingo Mierswa||
More information about the book and a call for chapters can be found below or at
RapidMiner has, without a doubt, serious impact in relation to software choice when it comes to data mining and predictive analytics. Thanks to its open source license model, RapidMiner spread quickly and is now deployed by hundreds of thousands of users in more than 60 countries world-wide. It is often referenced as a true competitor when compared to proprietary commercial solutions. However, like for many other open source solutions, a lack of application-oriented documentation is often a barrier to use the software. The proposed book wants to address this issue and lower this barrier by demonstrating how to apply RapidMiner in many relevant areas.
The proposed book will be an introductory book to RapidMiner focusing on use cases to explain the functionality and most frequently used operators. The aim is not to produce another data mining book and certain knowledge of data analysis concepts and techniques can be expected when drafting chapter proposals.
More info can be found here: http://www.rapidminerbook.com.
The book will provide high-quality practical articles in relation to use cases that showcase RapidMiner as a leading data mining software. Each Use Case has to be accomponied with a dataset. While reading the chapter the learner can follow and implement the use case in RapidMiner 5.
Recommended Topics and Themes
Original papers on all aspects of data analysis that RapidMiner caters for are invited. Submissions must not duplicate work that any of the authors has published elsewhere or submitted in parallel to any other books, conferences or workshops with proceedings. In addition, it is not always necessary to produce the best possible mining process on the data. Instead, the aim is to use the data to explain a set of operators in a practical manner (step by step process).
Possible topics covering all aspects of data mining may include (but are not limited to):
- Data Exploration and Visualisation
- Introduction to Data Mining (Theory Chapter)
- RapidMiner GUI Intro
- Classification Basic
- Text Mining
- Classification Advanced / Direct Mailing
- Predictive Maintenance / Machine Failure Prevention / Quality Assurance
- Customer/Credit Scoring
- Financial Forecasting
- Marketing Channel Analysis
- Web-Content Mining (Sentiment Analysis)
- Educational Data Mining
- Customer Segmentation
- Image Mining
- Automated Reporting
Researchers and practitioners are invited to submit on or before December 31, 2011, a 2 to 3 page manuscript proposal clearly explaining the use case of the proposed chapter and the operators that will be introduced. Authors of accepted proposals will be notified by January 31, 2012. The following should be kept in mind:
- The proposed project should include a sample mining process.
- You need to submit your Curriculum Vitae with the chapter proposal.
- The data needs to be publicly available so that future readers of the book can reproduce the use cases.
- The aim is not to produce the perfect process but to use and explain an appropriate number of operators.
- Chapter proposals can be submitted as MS Word or PDF file.
- Chapters need to be submitted using the LaTex template available on http://www.rapidminerbook.com
Full chapters are expected to be submitted by May 31, 2012. All submitted chapters will be reviewed by at least two reviewers. Various publishing strategies and publishers are currently considered.
Manuscript proposal for book chapter (2-3 pages): December 31, 2011
Notification to authors of submitted chapters: January 31, 2012
First Draft of the chapters from authors: May 31, 2012
Reviews back to authors: June 30, 2012
Revised Chapters back from authors: July 31, 2012
Final notification to the authors: August 31, 2012
Final camera-ready chapters from authors: September 30, 2012
Please e-mail all inquiries and proposal submissions to firstname.lastname@example.org.
ContactDr. Markus Hofmann
Department of Informatics, School of Engineering and Informatics
Institute of Technology Blanchardstown (ITB)
Blanchardstown Road North