KDD 2012 Orals
TechTalks from event: KDD 2012 Orals
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R17: Review, discussion, and Q & A
- All Sessions
- R16: Supervised learning with auxilliary information
- Asia-Pacific session 1
- R1: PageRank and social networks
- R17: Review, discussion, and Q & A
- Asia-Pacific session 2
- R2: Pattern mining
- R18: Outlier and intrusion detection
- Asia-Pacific Session 3
- R3: Probabilistic models
- R19: Feature selection
- Industry/Gov Track: Mobile Computing
- R4: Supervised learning
- R20: Nearest neighbors
- Industry/Govt Track B5: Social network analysis
- R5: Social opinions
- R21: Team, trends, and social profiling
- Industry/Govt Track C5: Web applications
- R6: Time series
- R22: Privacy
- Industry/Govt Track A5: Computational advertising
- Industry/Govt Track B5: Business intelligence
- R7: Matrices and tensors
- R23: Supervised learning applications
- Industry/Govt Track C5: Medical informatics
- R8: Unsupervised learning
- R24: Information extraction
- Industry/Govt Track A5 : Intelligent Systems
- R9: Social and web mining applications
- R25: Ads and video recommendation
- Demonstration Track
- R10: Event mining
- R26: Graph mining
- R11: Matrix approximation
- R27: Recommendation
- R12: Supervised learning with multivariate data
- R28: Clustering
- R13: Community mining
- R29: Keywords and documents
- R14: Sequential and spatio-temporal patterns
- R30: Patterns
- R15: Personalization and recommendation
- R31: Spatial and pattern recognition