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 |