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Call for Chapters: Unsupervised Learning Algorithms (Springer, 2015)
Posted by:
Emre Celebi
Date: October 28, 2014 12:41PM
Dear Colleagues,
We would like to invite you to contribute a chapter for our upcoming volume entitled Unsupervised Learning Algorithms to be published by Springer, the largest global scientific, technical, and medical ebook publisher. The volume will be available both in print and in ebook format by late 2015/early 2016 on SpringerLink, one of the leading science portals that includes more than 8 million documents, an ebook collection with more than 160,000 titles, journal archives digitized back to the first issues in the 1840s, and more than 30,000 protocols and 290 reference works.
Below is a short description of the volume:
With the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms that can automatically discover interesting and useful patterns in such data have gained popularity among researchers and practitioners. These algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. The difficulty of developing theoretically sound approaches that are amenable to objective evaluation has resulted in the proposal of numerous unsupervised learning algorithms over the past half-century.
The goal of this volume is to summarize the state-of-the-art in unsupervised learning. Topics of interest include:
- Feature Extraction
- Feature Selection
- Association Rule Learning
- Clustering
- Anomaly/Novelty/Outlier Detection
- Evaluation of Unsupervised Learning Algorithms
- Applications
Each contributed chapter is expected to present a novel research study, a comparative study, or a survey of the literature. Note that there will be no publication fees for accepted chapters.
Important Dates
Submission of abstracts November 30, 2014
Notification of initial editorial decisions December 15, 2014
Submission of full-length chapters March 01, 2015
Notification of final editorial decisions April 15, 2015
Submission of revised chapters May 15, 2015
All submissions should be done via EasyChair:
https://easychair.org/conferences/?conf=ula2015
Original artwork and a signed copyright release form will be required for all
accepted chapters. For author instructions, please visit:
http://www.springer.com/authors/book+authors?SGWID=0-154102-12-417900-0
Feel free to contact us via email (ecelebi AT lsus DOT edu, kemal AT na DOT edu) regarding your chapter ideas.
Sincerely,
M. Emre Celebi and Kemal Aydin
Editors
--
M. Emre Celebi, Ph.D.
Associate Professor
Department of Computer Science
Louisiana State University in Shreveport
http://www.lsus.edu/emre-celebi
--
Kemal Aydin, Ph.D.
Assistant Professor
Department of Computer Science
North American University
Houston, TX 77038
www.na.edu
We would like to invite you to contribute a chapter for our upcoming volume entitled Unsupervised Learning Algorithms to be published by Springer, the largest global scientific, technical, and medical ebook publisher. The volume will be available both in print and in ebook format by late 2015/early 2016 on SpringerLink, one of the leading science portals that includes more than 8 million documents, an ebook collection with more than 160,000 titles, journal archives digitized back to the first issues in the 1840s, and more than 30,000 protocols and 290 reference works.
Below is a short description of the volume:
With the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms that can automatically discover interesting and useful patterns in such data have gained popularity among researchers and practitioners. These algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. The difficulty of developing theoretically sound approaches that are amenable to objective evaluation has resulted in the proposal of numerous unsupervised learning algorithms over the past half-century.
The goal of this volume is to summarize the state-of-the-art in unsupervised learning. Topics of interest include:
- Feature Extraction
- Feature Selection
- Association Rule Learning
- Clustering
- Anomaly/Novelty/Outlier Detection
- Evaluation of Unsupervised Learning Algorithms
- Applications
Each contributed chapter is expected to present a novel research study, a comparative study, or a survey of the literature. Note that there will be no publication fees for accepted chapters.
Important Dates
Submission of abstracts November 30, 2014
Notification of initial editorial decisions December 15, 2014
Submission of full-length chapters March 01, 2015
Notification of final editorial decisions April 15, 2015
Submission of revised chapters May 15, 2015
All submissions should be done via EasyChair:
https://easychair.org/conferences/?conf=ula2015
Original artwork and a signed copyright release form will be required for all
accepted chapters. For author instructions, please visit:
http://www.springer.com/authors/book+authors?SGWID=0-154102-12-417900-0
Feel free to contact us via email (ecelebi AT lsus DOT edu, kemal AT na DOT edu) regarding your chapter ideas.
Sincerely,
M. Emre Celebi and Kemal Aydin
Editors
--
M. Emre Celebi, Ph.D.
Associate Professor
Department of Computer Science
Louisiana State University in Shreveport
http://www.lsus.edu/emre-celebi
--
Kemal Aydin, Ph.D.
Assistant Professor
Department of Computer Science
North American University
Houston, TX 77038
www.na.edu