Welcome!
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 2012) in April 2012 at the Renaissance Arlington Capital View
Hotel in Arlington, Virginia.
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.
More specifically, 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.
Audience and Scope
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.
Topic List
The areas below are intended as
general guidance. Contributions are welcome on any topic related
to DGSS and any domain using DGSS.
* Case studies of DGSS drawn from domains such as:
- Health care
- Sustainable development
- Energy efficiency and smart grid
- Environmental systems
- Military decision making
- Logistics and supply chain management
- Facility location decisions
* Fundamental technical challenges for DGSS
- Knowledge management for DGSS
- Advanced analytics for managerial DGSS
- OLAP and Data Warehousing for DGSS
- Cloud computing and DGSS
- Learning agents for DGSS
- Data mining and business intelligence for DGSS
- Regression, time series, and other statistical
methods for DGSS
- Optimization methods for DGSS
- Knowledge and resource discovery for DGSS
* DGSS for different categories of decision
- Negotiation support
- 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