KDD 2011 Research Track: Subject Areas
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: Classification08: Ranking
02: Regression09: Feature extraction and preprocessing
03: Clustering10: Online learning
04: Semi-supervised learning11: Relational learning
05: Frequent sets and patterns12: Graphical models
06: Outlier and anomaly detection13: Other statistical models
07: Hidden/latent variables14: Other
APPLICATION AREA
01: Bioinformatics06: Climate and environment
02: Medicine07: Government
03: Engineering08: Physics and chemistry
04: Web and ecommerce09: Humanities and social sciences
05: Business10: Other
DATA
01: Time-series06: Text
02: Images and video07: Social networks
03: Spatial data08: Graphs
04: Sequences09: Sparse data
05: Multivariate10: Other
PROCESS
01: Case studies06: User modeling
02: Privacy07: Domain knowledge and ontologies
03: Evaluation metrics and methods08: Visualization and EDA
04: KDD process and support tools09: Other
05: Human interface issues
SCALABILITY
01: Indexing04: High-dimensional data
02: Distributed processing05: Time and space complexity
03: Databases06: Other
THEORY
01: Foundations04: Statistical foundations
02: Complexity analysis05: Information theory
03: Learning and generalization06: Other