• Week 1: Decision Support for Data Bases and Data Streams
  • An Overview of Emerging Decision Support Applications and Systems
  • New OLAP functions and Windows in SQL:2003
  • Support for Sequence Queries
  • Data Stream Management Systems (DSMS) versus DBMS
    
    
• Week 2: Language Issues in DSMS
  • Continuous query languages
  • Aggregates and blocking operators
  • Timestamp management
  • Language design:windows, slides, and tumbles
    
    ------------April 15--21, ICDE 2007 -------------Istanbul, Turkey
    
    
• Week 3: DSMS Architecture and Implementation
  • Load shedding
  • Execution Models
  • Optimization
  • Supporting XML Streams

• Week 4: Mining Data Streams and Data Bases
  • Clustering and Outlier Detection
• Classification and Concept Shift
• Classifer Ensembles: Boosting versus bagging
  
  ------------May 6--12, Event Processing Week ----------Dagstuhl, Germany
  
  
• Week 5: Mining Data Streams and Data Bases
  
  • Association Rules detection and verification
  • Time Series Analysis
  • New Methods and Applications

• Week 6: Inductive DBMS and DSMS
  
  • Data Mining Qurery Languages and Inductive Databases
  • Support for DM in Commercial DBMS
  • Dedicated DM systems
  • Inductive DSMS
    
    
• Non-Monotonic Reasoning: Recent Advances
  
  
• Weeks 8, 9, 10: Research Paper Presentations by Students
  

Grade Basis for CS240B, Spring 2007

* Homework and Assignements: 30%

* Presentation: 30%

* Final Project and Report: 40%.