Subject Areas: Research Track

When an author submits a paper, they will be asked to select one primary subject area, and up to 10 secondary subject areas from the sets of terms below. The terms have been grouped to provide a somewhat systematic overview of topics relevant to the KDD conference. For example, a paper about information extraction from Web pages using latent variables could select the combination primary = text, secondary = [hidden/latent variables, Web and ecommerce]; a paper about outlier detection in protein sequences could select primary = outlier and anomaly detection, secondary = [bioinformatics, sequences]; a paper about theoretical results related to the complexity of "learning to rank" problems could select primary = ranking, secondary = complexity analysis; and so on.

For reference the list of subject areas that will appear to authors and reviewers in the CMT conference management system:

ALGORITHMS/MODELS
01: Classification 08: Ranking
02: Regression 09: Feature extraction and preprocessing
03: Clustering 10: Online learning
04: Semi-supervised learning 11: Relational learning
05: Frequent sets and patterns 12: Graphical models
06: Outlier and anomaly detection 13: Other statistical models
07: Hidden/latent variables 14: Other
APPLICATION AREA
01: Bioinformatics 06: Climate and environment
02: Medicine 07: Government
03: Engineering 08: Physics and chemistry
04: Web and ecommerce 09: Humanities and social sciences
05: Business 10: Other
DATA
01: Time-series 06: Text
02: Images and video 07: Social networks
03: Spatial data 08: Graphs
04: Sequences 09: Sparse data
05: Multivariate 10: Other
PROCESS
01: Case studies 06: User modeling
02: Privacy 07: Domain knowledge and ontologies
03: Evaluation metrics and methods 08: Visualization and EDA
04: KDD process and support tools 09: Other
05: Human interface issues  
SCALABILITY
01: Indexing 04: High-dimensional data
02: Distributed processing 05: Time and space complexity
03: Databases 06: Other
THEORY
01: Foundations 04: Statistical foundations
02: Complexity analysis 05: Information theory
03: Learning and generalization 06: Other