DATASETS 2017 - International Symposium on Designing, Validating, and Using Datasets

Datasets are proliferating in various industries and government sectors to provide support for improved decision making. It focuses on the process of inference based on available data and domain knowledge. There is also a push for open data accessibility for the advancement and dissemination of timely scientific content.
This symposium provides an opportunity for researchers from various disciplines and fields to share and discuss their achievements and challenges, providing novel insights in the interdisciplinary field of datasets. Subjects of interest range from data generation to data visualization to knowledge management and discovery.
Topics:
THEORY
The anatomy of designing Datasets
Designing context-based Datasets
Metadata for Datasets
Challenges in designing very large Datasets
Updatable and updating Datasets
Reference Datasets
Datasets families
Repositories of Datasets
Criteria for selecting appropriate Datasets
TYPES
Public and private Datasets
Open Datasets
Big Data and Datasets
Trusted Datasets
Mining massive Datasets
FEATURES
Testing and validating Datasets
Pitfalls with Datasets
Reputation of Datasets
Accuracy estimation of Datasets
Data links in Datasets
APPLICATIONS AND EXPERIMENTS
Context-aware Datasets in the Internet of Things
Datasets for data mining
Datasets used in statistics and machine learning
Online Datasets on collective behavior
Datasets for analytics and knowledge discovery
Regression Datasets
Climate Datasets
Gene Datasets
Health Datasets
Economic Datasets
Social Datasets
Transportation Datasets
Urban Datasets
Education/scholar Datasets