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SISAP (LNCS and IS Journal) 2014 : 7th International Conference on Similarity Search and Applications

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Conference Series : Similarity Search and Applications
 
Link: http://www.sisap.org/2014/index.html
 
When Oct 29, 2014 - Oct 31, 2014
Where Los Cabos, Mexico
Abstract Registration Due May 12, 2014
Submission Deadline May 19, 2014
Notification Due Jun 23, 2014
Final Version Due Jul 12, 2014
Categories    computer science   databases   information retrieval   similarity management
 

Call For Papers

Dear Colleagues,

Please, find bellow the Call for Papers for the 7th International Conference on Similarity Search and Applications (SISAP 2014). Deadlines:

Abstract Registration: May 12, 2014
Submission Deadline: May 19, 2014

Highlights:
1. Selected papers of SISAP 2014 will be published in the Information Systems Journal (Elsevier). The impact factor of the papers from previous special issues for SISAP is 8.25.
2. Proceedings will be published by Springer as Lecture Notes in Computer Science (LNCS).
3. Two great talks by:
Prof. K. Selçuk Candan – Arizona State University, USA: (Scalable Retrieval and Analysis of Simulation and Observation Data Sets)
Prof. Daniel Keim – University of Konstanz, Germany: (Visual Analytics for Interactive Subspace Similarity Search)
4. A really nice location in Los Cabos.

We anticipate a great conference!
Please, visit us at: http://www.sisap.org/2014/

Program Chairs
Agma Juci Machado Traina, University of São Paulo, Brazil
Caetano Traina Jr., University of São Paulo, Brazil

//--------------------------------
Our apologies for cross-posting

Dear Colleague,

Please, find next the CFP for SISAP 2014. We´d like to ask you to please circulate the CFP in your lists. We´d like to highlight that we continue the tradition of having the special issue of the Information Systems Journal with the best papers of SISAP. The impact factor of the papers previously published in the Information Systems Journal special issues for SISAP is 8.25 (Journal of Citation Reports).
Also, the two keynote speakers are confirmed:
Prof. K. Selçuk Candan – Arizona State University, USA
Prof. Daniel Keim – University of Konstanz, Germany

We anticipate a great conference!
Please, visit us at: http://www.sisap.org/2014/

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CALL FOR PAPERS - SISAP 2014
7th International Conference on Similarity Search and Applications

http://www.sisap.org/2014/

Los Cabos, Mexico, Oct 29-31, 2014

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Scope
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The 7th International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by numerous application domains, such as data mining, information retrieval, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that need similarity searching as a necessary supporting service.

The SISAP initiative (www.sisap.org) aims to become a forum to exchange real-world, challenging and innovative examples of applications, new indexing techniques, common test-beds and benchmarks, source code and up-to-date literature through its web page, serving the similarity search community. Traditionally, SISAP puts emphasis on the distance-based searching, but in general the conference concerns both the effectiveness and efficiency aspects of any similarity search problem.

The series started in 2008 as a workshop and has developed over the years into an international conference with Lecture Notes in Computer Science (LNCS) proceedings. As in previous editions, a selection of the best papers will be published in a special issue of Journal Information Systems. In 2014, SISAP will take place in Los Cabos, Mexico.

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Topics
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The specific topics include, but are not limited to:
-Similarity queries – k-NN, range, reverse NN, top-k, etc.
-Similarity operations – joins, ranking, classification, categorization, filtering, etc.
-Evaluation techniques for similarity queries and operations
-Merging/combining multiple similarity modalities
-Cost models and analysis for similarity data processing
-Indexing and access methods for similarity-based processing
-Scalability issues and high-performance similarity data management
-Feature extraction for similarity-based indexing and retrieval
-Feature selection
-Test collections and benchmarks
-Performance studies, benchmarks, and comparisons
-Similarity search over outsourced data repositories
-Similarity search cloud services
-Languages for similarity databases
-New modes of similarity for complex data understanding
-Applications of similarity-based operations
-Visual analitics for similarity-based operations
-Image, video, voice, and music (multimedia) retrieval systems
-Similarity for forensics and security
-Surveillance and defense

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Paper Submission and Publication
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Papers submitted to SISAP 2014 must be written in English and formatted according to the LNCS guidelines (http://www.springer.com/computer/lncs). Full papers can be up to 12 pages, while short papers, case-studies/applications, and demos can be up to 6 pages (read below for types of contribution). By submitting a paper, its authors commit to having the paper presented at the conference by at least one of them if the paper is accepted.

Papers will be submitted in PDF format through EasyChair (https://www.easychair.org/conferences/?conf=sisap2014).
If you experience any problems during the submission, you can contact the organization at sisap2014@icmc.usp.br


Contributions

Authors are invited to submit previously unpublished papers on their research in the area of similarity search and applications. Papers should present original research contributions which bring out the importance of algorithms to applications. SISAP submissions can be of three kinds (full details will be announced shortly):
- Research papers (full and short): SISAP accepts both full (12 pages) and short papers (6 pages). The full papers are expected to be descriptions of complete technical work, while the short papers will describe interesting, innovative ideas, which nevertheless require more work to mature - vision papers should also be submitted as short papers. All papers, regardless of size, will be given an entry in the conference proceedings.
- Case-studies and applications: Submissions describe applications of existing similarity search technologies to interesting problems, including a description of the encountered challenges, how they were overcome, and the lessons learned. All papers on this track will be given an entry in the conference proceedings and a presentation slot, though the presentation slot duration may be shorter than for full research papers.
- Demonstration papers: Submissions should provide the motivation for the demonstrated concepts, the information about the technology and the system to be demonstrated (including a system description, functionality and figures when applicable), and should state the significance of the contribution. Evaluation criteria for the demonstration proposals include: the novelty, the technical advances and challenges, and the overall practical attractiveness of the demonstrated system. Demonstration papers will also be given an entry in the conference proceedings – online demos are expected at the conference.

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Keynotes speakers
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- K. Selçuk Candan – Professor of Computer Science and Engineering at the Arizona State University: Scalable Retrieval and Analysis of Simulation and Observation Data Sets

- Daniel Keim – Head of the Information Visualization and Data Analysis Research Group, University of Konstanz, Germany: Visual Analytics for Interactive Subspace Similarity Search


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Important
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When: Oct 29-31, 2014
Where: Los Cabos, Mexico
Abstract Registration: May 12, 2014
Submission Deadline: May 19, 2014
Notification: Jun 23, 2014
Final Version: Jul 12, 2014

Publication: Lecture Notes in Computer Science (LNCS), and a selection of the best papers will be published in a special issue of Journal Information Systems.

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Program Chairs
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Agma Juci Machado Traina, University of São Paulo, Brazil
Caetano Traina Jr., University of São Paulo, Brazil

Jose F Rodrigues Jr
SISAP publicity chair
PhD Professor - ICMC-USP
Computer Science Dept - SCC
http://www.icmc.usp.br/~junio
Phone:+55-16-3373-6625

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