[bull-ia] [TD-LSG@VLDB 2018] Workshop on Advances in Mining Large-Scale Time-Dependent Graphs – Call for Paper

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Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

TDLSG@VLDB 2018, Second International Workshop on Advances in Mining Large-Scale Time-Dependent Graphs in conjunction with VLDB 2018

The paper submission deadline is April 30, 2018.

*** Call for Paper ***

VLDB 2018 workshop on Advances in Mining Large-Scale Time-Dependent Graphs
August 31, 2018

The aim of this second edition of the International Workshop on Advances on Mining  Large-Scale Time Dependent Graphs (TDLSG) is to bring together active scholars and practitioners of dynamic graphs. Graph models and algorithms are ubiquitous of a large number of application domains, ranging from transportation to social networks, semantic web, or data mining. However, many applications require graph models that are time dependent. For example, applications related to urban mobility analysis employ a graph structure of the underlying road network. Indeed, the nature of such networks are spatiotemporal. Therefore, the time a moving object takes to cross a path segment typically depends on the starting instant of time. So, we call time-dependent graphs, the graphs that have this spatiotemporal feature.

In this workshop, we aim to discuss the problem of mining large-scale time-dependent graphs, since there are many real world applications deal with a large volumes of spatio-temporal data (e.g. moving objects? trajectories). Managing and analyzing large-scale time-dependent graphs is very challenging since this requires sophisticated methods and techniques for creating, storing, accessing and processing such graphs in a distributed environment, because centralized approaches do not scale in a Big Data scenario.

Contributions will clearly point out answers to one of these challenges focusing on large-scale graphs.

Aims and Scope :

Many research questions related to mining large scale time-dependent graphs, will be at the heart of this workshop such as:

1. How to build a TDLSG using spatio-temporal data or temporal traces in general, such as to favor the mining process ?
2. How to inter-link and enrich TDLSG with semantic resources during the mining process ?
3. How to allow scalable mining tasks over a TDLSG ?
4. How to organize and maintain a TDLSG in distributed architecture, such as to scale the mining process ??

This half-day workshop aims at bringing together scholars and practitioners active in dynamic graphs, to present and discuss their research, share their knowledge and experiences, and discuss the current state of the art and the future improvements.

Workshop topics :

We encourage papers with important new insights and experiences on knowledge discovery aspects with dynamic and evolving graphs. Those contributions should shed light on one of the questions mentioned above, related to the knowledge discovery process. Topics of interest include, but are not limited to, the following inter-linked topics, with regards to mining process:

– Theoretical foundation of TDLSG
– Construction and maintenance of TDLSG
– Data quality in TDLSG
– Data integration in TDLSG
– Indexing techniques for TDLSG
– Distributed algorithms & navigational query processing
TDLSG data mining: frequent pattern mining, similarity, cluster analysis, predictive learning
– Trajectory mining in TDLSG
– Probabilistic TDLSG
– Applications related to TDLSG


The workshop accepts two types of submissions:
– Long papers (full research papers / VLDB format)
– Short papers of 2-4 pages (for work in progress)
Papers must be formatted and submitted according to the VLDB guidelines available on: http://vldb2018.lncc.br/formatting-guidelines.html.
Submissions should be made through Easychair at: https://easychair.org/conferences?conf=tdlsg2018.
We also invite the submission of 2-4 pages extended abstracts as highlight papers or late breaking research papers. Highlight papers should summarize full papers that have been published, or accepted for publication, between April 1, 2017 and the submission deadline.

Review Process:

Papers will be subject to three (3) blind peer reviews. Selection criteria include originality of ideas, correctness, clarity and significance of results and quality of presentation.
Papers will be accepted for either oral or poster presentation. However, no distinction will be made between accepted papers in the workshop proceedings. At least one author of each accepted paper is required to attend the conference, as well as the workshop to present the work. Authors will be required to agree to this requirement at the time of final submission.

Workshop Proceedings:

Workshop proceedings will be published in the CEUR-WS workshop proceedings.

Important dates:
– Paper Submission Deadline: April 30, 2018
– Author Notification: June 13, 2018
– Camera Ready Deadline: July 13, 2018

Workshop registration:

If a paper is accepted, at least one author must register for the workshop, and present the paper at the workshop.

– Sabeur Aridhi, LORIA, University of Lorraine, Nancy (France)
– Jose Fernandes de Macedo, Universidade Federale do Ceara, Fortaleza (Brazil)
– Engelbert Mephu Nguifo, LIMOS, University Clermont Auvergne (France)
– Karine Zeitouni, DAVID, Université de Versailles Saint-Quentin (France)

Sabeur Aridhi – Associate Professor
University of Lorraine – TELECOM Nancy
LORIA/INRIA Nancy Grand Est 615 rue du Jardin Botanique,
54600 Villers-les-Nancy

Responsible for the Big data major (IAMD) at TELECOM Nancy