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CS 537 - Possible Survey Topics
Survey Topics for CS537 Papers
You are required to survey recent research papers on a
particular topic and present a survey of current
thinking on the topic. This will take the form of
a "survey paper" which you will submit. This will be
a Postscript document (preferably from LaTeX) which
has the format of a proper paper. In other words,
it has an introduction, various sections, a bibliography, etc.
You will need to present the material clearly (which
requires first a good understanding of the subject material).
It is not simply a matter of saying "Paper A says blah.
Paper B says blah." You will need to tie the two together,
so that reading your survey gives a reader an informed
insight into the topic. While this may appear tough
when you are doing it, you will find that it helps you
a lot down the road.
There are many topics listed below. There are also some
topics that stem from the project list. You will need to
choose a topic and talk with me about it. I will try to give
you an initial paper to get started, and after that, you need
to track down references from the library and collect more
papers. I expect each survey to look at about 5 papers.
Also, it is fine if more than one person works on the same
survey topic, and if the people on a topic discuss between
themselves. However, each person must write an individual
survey paper.
-
Query Optimization
- 1) Join enumeration techniques
- 2) Selectivity and cost estimation techniques
- 3) View maintenance and data warehousing
-
Data Mining
- 1) Deriving association rules.
- 2) Classification.
- 3) Clustering.
-
Indexing Techniques
- 1) Multi-dimensional tree structures.
-
Transaction Processing
- 1) Advanced transaction models
- 2) Workflow.
- 3) Recovery algorithms.
-
Buffer Management
1) Replacement Algorithms
-
Storage Management
- 1) Replicated Storage vs Partitioned Storage
- 2) Tertiary Storage
-
Real-Time Databases
-
Database Security
-
Databases and the WWW
-
OLAP(On-Line Analytical Processing)
-
Parallel Query Processing
- 1) Query Processing Algorithms
- 2) System Design Issues
-
Object-Oriented Database Systems
- 1) Swizzling techniques
- 2) Garbage collection
-
Database Benchmarking
-
Heterogeneous Databases
- 1) Semantic Consistency and Schema Integration
- 2) Query Processing