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: 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 |