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The AAAI-05 Workshop on Link Analysis (LinkAnalysis-2005) - Call for Papers

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To be held at AAAI-2005, The Twentieth National Conference on Artificial Intelligence

Call for papers on the following topics was open until April 20, 2005.

Below are submission guidelines, attendance information, important dates and organization details.

Workshop Description

The workshop aims to focus on an increasingly important area of research, Link Analysis.

Link Analysis has been developed over the past 20 years in various fields including Discrete Mathematics (Graph Theory), Social Sciences (Social Network Analysis) and Computer Science (graph as a data structure). Recently this area has attracted a wider attention for its applicability in law enforcement investigations (e.g., terrorism, money laundering), fraud detection (e.g., insurance, banking), WWW analysis (e.g., search engines, marketing), telecommunications (e.g., routers, traffic, connectivity), and similar.

Particularly interesting for the workshop are problems and issues that fall within the intersection of Link Analysis and fields such as Web and Text Mining, Relational Data Mining, and more general, Data Mining. Typical examples are in the area of trend analysis, community identification, Web user profiling, media clipping, marketing, etc., where Link Analysis complements other fields of research and derives additional value from information processing. Another interesting scenario is extraction of information from unstructured data, representation of extracted data in the graphical form, and further analysis of the resulting graph structure to derive and discover new knowledge. Generally, of interest are novel applications and problems that push the current state-of-the-art in Link Analysis.


Topics of interest

Particular topics of interest for the workshop include but are not limited to:


Submission Guidelines

Submissions should be sent by April 20, 2005, in electronic form as a PDF file to Dunja.Mladenic@ijs.si, Subject: LinkAnalysis-2005 workshop submission paper.

Submissions should be max. 10 pages, using the formatting provided by AAAI for AAAI Workshop Authors.

Submitted papers will be reviewed by referees from the Program Committee. Accepted papers will be published in the working notes provided by AAAI-2005. The authors will be notified about the acceptance or rejection of their papers by May 11, 2005.
Camera-ready versions of the papers should be submitted to AAAI via the online submission system no later than May 18, 2005. The authors of accepted papers should fax signed <"http://www.aaai.org/Publications/Author/distribute-permission.pdf">Permission to Distribute forms (one author per paper) to +1 650-321-4457 by May 18, 2005.


Attendance is limited to active participants only. We strongly encourage interested researchers to either submit a research paper or send a short abstract of their interests, so we can provide the preliminary list of the participants to the conference organizers.

The workshop should be of interest to researchers and who are interested in Academic Data Mining (analytical aspects of dealing with link structures), Commercial Data Mining (new application areas), Social Networks Analysis (algorithmic aspects of dealing with large network structures), Relational Data Mining/Association Rules (alternative representations and dealing with the data), Natural Language Processing/Text Mining (representational aspects).


Important Dates

Submission Deadline: April 20, 2005
Acceptance Notification: May 11, 2005
Camera-ready Copies: May 18, 2005
Workshop date: July 9-10, 2005



Program Chairs

Dunja Mladenic
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Dunja.Mladenic@ijs.si, dunja@cs.cmu.edu

Natasa Milic-Frayling
Microsoft Research Ltd, 7 J J Thomson Avenue, Cambridge, CB3 0FB, United Kingdom

Marko Grobelnik
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia

Program Committee


Past events

We feel that the continuity of meeting and exchanging ideas is essential for effective promotion and development of this and related research areas.