Special Track at
The 27th International FLAIRS Conference
In cooperation with the American Association for Artificial Intelligence
May 21 - 23, 2014
submission deadline: November 18, 2013.
Notifications: January 21, 2014.
Camera ready version due: February 25, 2014.
All accepted papers will be published as FLAIRS proceedings by the AAAI.
Call for Papers
What is Data Mining?
Data mining is the process of extracting hidden patterns from data. As more data is gathered, data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling services, such as marketing, surveillance, fraud detection and scientific discovery (http://en.wikipedia.org/wiki/Data_mining).
What is the GOAL of the track?
This special track will be devoted to data mining with the aim of presenting new and important contributions in this area.
Who might be interested?
Papers and contributions are encouraged for any work related to Data Mining.
What kind of studies will be of interest?
Topics of interest may include (but are in no way limited to):
1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy.
2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches.
3. Feature extraction and selection.
4. Post-processing techniques such as visualization, summarization, or trending.
5. Preprocessing and data reduction.
6. Knowledge engineering or warehousing.
Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout, are also encouraged.
Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process).
Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (4 pages for a poster) and are due by November 19, 2013. For FLAIRS-27, the 2014 conference, the reviewing is a double blind process. Author names and affiliations should be X’d out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-27.info/). Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate the Data Mining special track for submissions. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.
Please, check the website http://www.flairs-27.info/ for further information.
Papers will be refereed and all accepted papers will appear in the conference proceedings, which will be published by AAAI Press.
David Bisant, Central Security Svcs., firstname.lastname@example.org
William Eberle, Tennessee Technological University, email@example.com
Current Program Committee
Rafal Angryk Montana State University, USA
Martin Atzmueller University of Wuerzburg, Germany
Jim Austin The University of York, United Kingdom
Juan Banda Montana State University, USA
Emre Celebi Louisiana State University, Shreveport, USA
Diane Cook Washington State University, USA
Serge Dolenko D.V.Skobeltsyn Nuclear Physics Institute, Russian Federation
Olac Fuentes University of Texas at El Paso, USA
Jesus Gonzalez NIAOE, Mexico
Steven Gutstein University of Texas at El Paso, USA
Hyoil Han Marshall University, USA
Lawrence Holder Washington State University, USA
Mike James Infomax Group, United Kingdom
Jacek Kukluk Dana-Farber/Harvard Cancer Center, USA
SeungJin Lim Marshall University, USA
Eduardo Morales NIAOE, Mexico
Jeff Pittges Radford University, USA
Roberto Santana University of Basque Country, Spain
Douglas Talbert Tennessee Technological University, USA
Slawomir Zadrozny Systems Research Institute, Polish Academy of Sciences, Poland
Questions regarding the Data Mining Special Track should be addressed to the track co-chairs:
David Bisant, Central Security Svcs. , firstname.lastname@example.org
Bill Eberle, Tennessee Technological University, email@example.com
Questions regarding Special Tracks should be addressed to Ingrid Russell, firstname.lastname@example.org
Michael Youngblood, PARC, a Xerox Company, USA
William (Bill) Eberle, Tennessee Tech University, USA
Chutima Boonthum-Denecke, Hampton University, USA
Special Tracks Coordinator:
Ingrid Russell, Hartford University, USA
William Clancey, Senior Research Scientist, Florida Institute for Human and Machine Cognition
Jennifer Neville, Associate Professor, Purdue University
Thad Starner, Professor at Georgia Tech, and Technical Lead on Google's Glass
Conference Web Sites
Paper submission site: follow the
link for submissions at http://www.flairs-27.info/
FLAIRS-27 conference web page: http://www.flairs-27.info/
Florida AI Research Society (FLAIRS): http://www.flairs.com
Relevant Web Sites
www.KDnuggets.com : Analytics, Big Data, Data Mining, & Data Science Resources