CALL FOR CHAPTERS_Data Mining Applications with R
From: Justin <justin.cen_at_gmail.com>
Date: Tue, 20 Mar 2012 02:20:39 -0700 (PDT)
Message-ID: <d2af2a43-e1e5-4a3d-8a8e-c03d89f6d927_at_wb9g2000pbc.googlegroups.com>
CALL FOR CHAPTERS
Proposal Submission Deadline: April 30, 2012
R is one of the most widely used data mining tools in scientific and business applications, among dozens of commercial and open-source data mining software. It is free and expandable with over 3,600 packages. However, it is not easy for beginners to find appropriate packages or functions to use for their data mining tasks. It is more difficult, even for experienced users, to work out the optimal combination of multiple packages or functions to solve their business problems and the best way to use them in the data mining process of their applications. This book aims to facilitate using R in data mining applications by presenting real-world applications in various areas.
This book will present around 20 applications on data mining with R. Each application is to be presented as one chapter, covering its background, business problems, data extraction and exploration, data preprocessing, modeling, model evaluation, findings and model deployment. In this way, it will help readers to learn to solve realworld problems with a set of data mining techniques and then apply the techniques and methodologies in their own data mining projects. Code examples and sample data will be provided, so that readers can easily learn the techniques by running the codes by themselves.
The audience includes data miners, analysts and R users from industry, and university students and researchers who are interested in data mining with R.
data mining applications with R in, but not limited to, the following areas
* Finance
Data miners and analysts are invited to submit by April 30, 2012, a 1-2 page manuscript proposal clearly explaining the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified by May 15, 2012 about the status of their proposals. Full chapters are due by July 31, 2012. All submitted chapters will be reviewed by 2 or 3 reviewers. Please submit your chapter proposals and full chapters at https://www.easychair.org/account/signin.cgi?conf=dmar2013.
Dr. Yanchang Zhao
RDataMining.com, Australia
yanchangzhao at gmail dot com
Date: Tue, 20 Mar 2012 02:20:39 -0700 (PDT)
Message-ID: <d2af2a43-e1e5-4a3d-8a8e-c03d89f6d927_at_wb9g2000pbc.googlegroups.com>
CALL FOR CHAPTERS
Proposal Submission Deadline: April 30, 2012
Data Mining Applications with R
A book to be published by Elsevier
http://www.RDataMining.com/books/book2
Introduction
R is one of the most widely used data mining tools in scientific and business applications, among dozens of commercial and open-source data mining software. It is free and expandable with over 3,600 packages. However, it is not easy for beginners to find appropriate packages or functions to use for their data mining tasks. It is more difficult, even for experienced users, to work out the optimal combination of multiple packages or functions to solve their business problems and the best way to use them in the data mining process of their applications. This book aims to facilitate using R in data mining applications by presenting real-world applications in various areas.
Objective
This book will present around 20 applications on data mining with R. Each application is to be presented as one chapter, covering its background, business problems, data extraction and exploration, data preprocessing, modeling, model evaluation, findings and model deployment. In this way, it will help readers to learn to solve realworld problems with a set of data mining techniques and then apply the techniques and methodologies in their own data mining projects. Code examples and sample data will be provided, so that readers can easily learn the techniques by running the codes by themselves.
Target audience
The audience includes data miners, analysts and R users from industry, and university students and researchers who are interested in data mining with R.
Topics
data mining applications with R in, but not limited to, the following areas
* Finance
- Retail
- Insurance
- Telecommunications
- Government
- Crime & Homeland Security
- Stock Market
- Social Welfare
- Social Media
- Sports
- Medicine and Health
- Education
- Patent
- Transport
- Real Estate
- Meteorology
- Bioinformatics
- Sentiment Analysis
- Spatial Data Analysis
- Scientific Computing
Submission procedure
Data miners and analysts are invited to submit by April 30, 2012, a 1-2 page manuscript proposal clearly explaining the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified by May 15, 2012 about the status of their proposals. Full chapters are due by July 31, 2012. All submitted chapters will be reviewed by 2 or 3 reviewers. Please submit your chapter proposals and full chapters at https://www.easychair.org/account/signin.cgi?conf=dmar2013.
Details about the book are available at http://www.rdatamining.com/books/book2.
Book editors and contacts
Dr. Yanchang Zhao
RDataMining.com, Australia
yanchangzhao at gmail dot com
Mr. Yonghua Cen
Univ. of Technology, Sydney, Australia
justin.cen at gmail dot com
Received on Tue Mar 20 2012 - 10:20:39 CET