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Data Modeling—Topics. Foreign Keys Parent-Child Relationships Strong-Weak Entities Many to Many relationships Unary Relationships n -ary relationships Binary 1:1 relationships. Foreign Keys.
Topics in Data Management. SAS Data Step. Combining Data Sets I - SET Statement. Data available on common variables from different sources. Multiple datasets with common variable names, possibly different sampling/experimental units Exam scores from students in various sections of STA 2023
Data Compression: Advanced Topics. Huffman Coding Algorithm Motivation Procedure Examples Unitary Transforms Definition Properties Applications. Recall: Variable Length Codes (VLC). Recall:. Self-information. It follows from the above formula that a small-probability event contains
Special Topics in Data Mining. Special Topics in Data Mining. Direct Objectives To learn data mining techniques To see their use in real-world/research applications To get an understanding of the methodological principles behind data mining
Advanced Topics in Data Management. Bin Yao Spring 2014 (Slides were made available by Feifei Li). External Memory Data Structures. Names: I/O-efficient data structures Disk-based data structures (index structures) used in DB
Research topics in data warehouse . Directed By : Dr Rahgozar Mostafa h.Chehreghani. List of research topics. Lineage tracing Incremental view maintenance Indexing in data warehouse Data quality. Lineage tracing. List of papers : Using AutoMed Metadata in Data Warehousing Environments
Special Topics in Data Engineering. Panagiotis Karras CS6234 Lecture, March 4 th , 2009. Outline. Summarizing Data Streams. Efficient Array Partitioning. 1D Case. 2D Case. Hierarchical Synopses with Optimal Error Guarantees. Summarizing Data Streams.
Data Dissemination and Management - Topics. Introduction Challenges – Lecture 9 Data Dissemination Lecture 10 Mobile Data Caching Lecture 10 Mobile Cache Maintenance Schemes - 10 Mobile Web Caching Lecture 11 Summary. Data Dissemination and Management – Introduction (cont.).
Selected Topics in Data Networking. Explore Social Networks: Cohesion. Introduction to Cohesion. Social Network Analysis: Investigating who is related and who is not. Why are some people or organizations related, whereas others are not?