posted by user: brodsky || 5964 views || tracked by 14 users: [display]

DGSS 2013 : IEEE ICDE Workshop on Data-Driven Decision Guidance and Support Systems


When Apr 8, 2013 - Apr 8, 2013
Where Brisbane, Australia
Submission Deadline Oct 31, 2012
Notification Due Dec 5, 2012
Final Version Due Dec 17, 2012
Categories    decision support   decision guidance   recommender systems   optimization

Call For Papers


Workshop on Data-Driven Decision Guidance and Support Systems (DGSS)
In conjunction with the 29th IEEE International Conference on Data Engineering (ICDE 2013)

Brisbane, Australia
8 April 2013

You are invited to participate in the upcoming Workshop on Data-Driven Decision Guidance and Support Systems (DGSS), to be held as part of the 28th IEEE International Conference on Data Engineering (ICDE 2013) in Brisbane, Australia, on April 8-12, 2013. Brisbane is the capital city of the state of Queensland. The conference will be held at the Sofitel Hotel in the center of Brisbane.

Decision support systems (DSS) are widely used to support business or organizational decision-making. They are used to inform decisions at the management, operations and planning levels of an organization. Decision guidance systems (DGS) are decision support systems that go beyond organizing and displaying information, providing actionable recommendations to and extracting knowledge from human decision-makers.

Decision Guidance and Support Systems (DGSS) often need to:
- use and mine large amounts of data collected from multiple sources,
- learn deterministic or stochastic models of underlying processes from historical data
- learn objectives or decision preferences from decision makers' responses,
- perform optimization under diverse constraints, e.g., from business or engineering limitations and laws of nature, and
- present and justify actionable recommendations to decision makers.


This workshop will bring together DGSS researchers and practitioners to present novel methodologies, models, algorithms, systems, tools, applications and case studies of DGSS. Most importantly, the workshop will be a forum to discuss how to utilize advances from multiple disciplines for building DGSS that can intelligently merge human knowledge and expertise with formal mathematical models to make better decisions. The workshop will include both formal presentations and informal discussion of important research directions in DGSS, and their interactions with Knowledge and data engineering.


The areas below are intended as general guidance. Contributions are welcome on any topic related to DGSS and any domain using DGSS.

* Fundamental technical challenges for DGSS
- Knowledge management for DGSS
- Advanced analytics for managerial DGSS
- Data Warehousing, Analytics and Big Data for DGSS
- Cloud computing and DGSS
- Learning agents for DGSS
- Business intelligence for DGSS
- Data mining and knowledge discovery for DGSS
- Regression, time series, and other statistical methods for DGSS
- Optimization methods for DGSS
- Knowledge and resource discovery for DGSS
- Uncertain and probabilistic data use for DGSS

* DGSS for different categories of decision
- Support for recommender systems
- Support for negotiation
- Decision dynamics, processes and issues for decisions with multiple stakeholders
- Group, distributed, and collaborative DGSS
- Crowd-sourcing and collective intelligence for DGSS
- DGSS for strategic, tactical and operational level decisions
- DGSS for social and mobile networks

* Case studies of DGSS drawn from domains such as:
- Health care
- Sustainable manufacturing
- Energy efficiency and smart grid
- Environmental systems
- Military decision making
- Logistics and supply chain management


October 31, 2012 - Paper submissions due (extended deadline)
December 5, 2012 - Author notification
December 17, 2012 - Camera ready papers due
April 8, 2013 - Workshop on Decision Guidance and Support Systems


Each submission will be evaluated for acceptability by at least three members of the Program Committee. Decisions about acceptance will be based on relevance to the workshop theme, originality, potential significance, topicality and clarity. Since all accepted papers will be presented at the workshop, we require that at least one of the submitting authors must be a registered participant at the ICDE 2013 Conference, and committed to attend the DGSS Workshop.

Submissions to the Workshop are only accepted pdf format and should be sent via the workshop's submission site: Papers must be formatted in the IEEE camera-ready format. Submissions must not exceed 12 pages, including figures. Submissions exceeding this limit will not be reviewed.

Following the general acceptance rules of the ICDE 2013 conference, papers that, at the time of submission, are under review for or have already been published in or accepted for publication in a journal or another conference will not be accepted to the DGSS workshop. Authors of papers accepted to ICDE 2013 on a topic relevant to DGSS are invited to present a poster connecting their ICDE paper to to the topics of DGSS. Such authors should submit an abstract describing their ICDE paper and indicating its connection to DGSS.


ICDE DGSS 2013 will be a full-day workshop. The sessions will be planned in a format that invites an open debate and discussion of fundamental challenges of data-driven DGSS. All papers accepted to the DGSS workshop will be presented during the workshop and published in the IEEE ICDE proceedings, which will be available as a separate publication after the Conference. In addition, technical papers accepted for presentation at the DGSS Workshop will be eligible for participating in an international journal special issue or in a post-proceedings book.


Abdelkader Adla, University of Oran, Algeria
Faramarz Agahi, U. of Gothenburg & Chalmers U. of Technology, Sweden
Malak Al-Nory, Effat University, Saudi Arabia
Khalid Alodhaibi, George Mason University & IBM, USA
Pedro Antunes, U. of Lisboa, Portugal
Marco Bohanec, Jozef Stefan Institute, Slovenia
Mihai Boicu, George Mason University, USA
Patrick Brezillon, U. Paris VI, France
Alexander Brodsky, George Mason University, USA
Peggy Brouse, George Mason University, USA
Frada Burstein, Monash University, Australia
Candea Ciprian, Ropardo SRL, Romania
Csaba Csaki, University College Cork, Ireland
Alfredo Cuzzocrea, University of Calabria, Italy
Fatima Dargan, SimTech Simulation Technology, Austria
Boris Delibasic, U. of Belgrade, Serbia
Alexander Dekhtyar, California Polytechnic State University, USA
Luis Dias, U. of Coimbra - INESCC, Portugal
Omar El-Gayar, Dakota State University, USA
Sean Eom, Southeast Missouri State University, USA
Sergio Fernandez, Polytechnic Institute in Setubal, Portugal
Andreas Fink, Helmut-Schmidt-Universität / UniBw Hamburg, Germany
Tingjian Ge, University of Kentucky, USA
Jorge E. Hernandez, U. of Liverpool, UK
Patrick Humphreys, London School of Economics, UK
Antonio Jiménez Martin, Universidad Politécnica de Madrid, Spain
Kathrin Kirchner, Schiller University Jena, Germany
Kathryn B. Laskey, George Mason University, USA
Isabelle Linden, University of Namur (FUNDP), Belgium
Shaofeng Liu, U. of Plymouth, UK
Eurico Lopez, Instituto Politechnico C Branco, Portugal
Joao Lourenco, Technical University of Lisbon, Portugal
Armando B., Mendes, Azores University, Portugal
Daniel O'Leary, U. of Southern California (USC), USA
Jason Papathanasiou, U. of Macedonia, Greece
Gloria Phillips-Wren, Loyola University Maryland, USA
Roy Rada, University of Maryland-Baltimore County, USA
Ana Respicio, U. of Lisbon, Portugal
Rita Ribeiro, CA3-UNINOVA, Portugal
Mareike Schoop, U. of Hohenheim, Germany
Hans-Jeurgen Sebastian, RWTH Aachen University, Germany
Stanislaw Stanek, U. of Economics in Katowice, Poland
Rudolf Vetschera, U. of Vienna, Austria
Stefan Voß, U. of Hamburg, Germany
Roland Weistroffer, Virginia Commonwealth University, USA
Pascale Zarate, Toulouse University - IRIT, France

We look forward to seeing you in Brisbane in April!

Related Resources

IEEE SSCI 2023   2023 IEEE Symposium Series on Computational Intelligence
CSMO 2023   2023 6th International Conference on Simulation, Modeling and Optimization (CSMO 2023)
MLDM 2023   18th International Conference on Machine Learning and Data Mining
BDMO 2022   2022 Big Data Modeling and Optimization (BDMO 2022)
ICDE 2023   International Conference on Data Engineering
ICADCML 2023   4th International Conference on Advances in Distributed Computing and Machine Learning
IEEE ICCCBDA 2023   IEEE--2023 the 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2023)
Handbook of Optimization 2023   Handbook of Formal Optimization Methods
IEEE Journal of Selected Topics in Appli 2023   Security and Privacy-preserving Solutions on Remote Sensing Data of Smart Cities
ICCSN 2023   IEEE--2023 15th International Conference on Communication Software and Networks (ICCSN 2023)