《Managing XML and Semistructured Data》教学资源（PPT课件讲稿）Part 04 Compressing XML Data

84.1 Introduction 84.2 The Analog and Digital Signal Interface 84.3 Analog Signal Conditioning 84.4 Sample-and-Hold and A/D Techniques in Data Acquisition

94.1 Databases Database Abstraction • Data Models • Relational Databases • Hierarchical Databases • Network Databases • Architecture of a DBMS • Data Integrity and Security • Emerging Trends 94.2 Rule-Based Expert Systems

• Introduction & Motivation – Stream computation model, Applications • Basic stream synopses computation – Samples, Equi-depth histograms, Wavelets • Mining data streams – Decision trees, clustering, association rules • Sketch-based computation techniques – Self-joins, Joins, Wavelets, V-optimal histograms • Advanced techniques – Sliding windows, Distinct values, Hot lists • Future directions & Conclusions

 What is WEKA?  The Explorer:  Preprocess data  Classification  Clustering  Association Rules  Attribute Selection  Data Visualization  References and Resources

1 数据科学 2 数据挖掘

 从面向过程到面向对象  如何规约对象？——抽象！  Abstract data type  ADT与软件开发

CCSM(Coupled Model) releases Each release includes the complete collection of component model source code, documentation, input data Model output data is available Release date d CCSM 3. 0 June 2004 Notable

◼ Motivation & Background ◼ Best Paper: Information Manifold ◼ Building on the Foundation ◼ Data Integration Industry ◼ Future Challenges ◼ Conclusion

 Normal distribution for continuous data  Binomial distribution for binary categorical data