Difference between revisions of "SDM 2018"

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|State=California
 
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|Has host organization=Society for Industrialand Applied Mathematics
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|has general chair=Tanya Berger-Wolf, Dimitrios Gunopulos
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|has program chair=Martin Ester, Dino Pedreschi
 
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Topics
 
Topics

Latest revision as of 19:29, 14 May 2020

SDM 2018
Event in series SDM
Dates 2018/05/03 (iCal) - 2018/05/05
Homepage: https://archive.siam.org/meetings/sdm18/
Location
Location: San Diego, California, USA
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Committees
General chairs: Tanya Berger-Wolf, Dimitrios Gunopulos
PC chairs: Martin Ester, Dino Pedreschi
Table of Contents


Topics

  • Methods and Algorithms
  • Classification
  • Clustering
  • Frequent Pattern Mining
  • Probabilistic & Statistical Methods
  • Graphical Models
  • Spatial & Temporal Mining
  • Data Stream Mining
  • Anomaly & Outlier Detection
  • Feature Extraction, Selection and Dimension Reduction
  • Mining with Constraints
  • Data Cleaning & Preprocessing
  • Computational Learning Theory
  • Multi-Task Learning
  • Online Algorithms
  • Big Data, Scalable & High-Performance Computing Techniques
  • Mining with Data Clouds
  • Mining Graphs
  • Mining Semi Structured Data
  • Mining Image Data
  • Mining on Emerging Architectures
  • Text & Web Mining
  • Optimization Methods
  • Other Novel Methods
  • Applications
  • Astronomy & Astrophysics
  • High Energy Physics
  • Recommender Systems
  • Climate / Ecological / Environmental Science
  • Risk Management
  • Supply Chain Management
  • Customer Relationship Management
  • Finance
  • Genomics & Bioinformatics
  • Drug Discovery
  • Healthcare Management
  • Automation & Process Control
  • Logistics Management
  • Intrusion & Fraud detection
  • Bio-surveillance
  • Sensor Network Applications
  • Social Network Analysis
  • Intelligence Analysis
  • Other Novel Applications & Case Studies
  • Human Factors and Social Issues
  • Ethics of Data Mining
  • Intellectual Ownership
  • Privacy Models
  • Privacy Preserving Data Mining & Data Publishing
  • Risk Analysis
  • User Interfaces
  • Interestingness & Relevance
  • Data & Result Visualization
  • Other Human Factors and Social Issues