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<html><head><title>CS 537 - Possible Survey Topics</title></head><body background="pics/fiber.gif"><h2> Survey Topics for CS537 Papers</h2>You are required to survey recent research papers on aparticular topic and present a survey of currentthinking on the topic. This will take the form ofa "survey paper" which you will submit. This will bea Postscript document (preferably from LaTeX) whichhas 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 (whichrequires 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 informedinsight into the topic. While this may appear toughwhen you are doing it, you will find that it helps youa lot down the road.<p>There are many topics listed below. There are also sometopics that stem from the project list. You will need tochoose a topic and talk with me about it. I will try to giveyou an initial paper to get started, and after that, you needto track down references from the library and collect morepapers. I expect each survey to look at about 5 papers.Also, it is fine if more than one person works on the samesurvey topic, and if the people on a topic discuss betweenthemselves. However, each person must write an individualsurvey paper.<ul><li> <h3>Query Optimization</h3><ul><li> 1) Join enumeration techniques <li>    2) Selectivity and cost estimation techniques<li>    3) View maintenance and data warehousing</ul><p><li> <h3>Data Mining</h3><ul><li>    1) Deriving association rules.<li>    2) Classification.<li>    3) Clustering.</ul><p><li> <h3>Indexing Techniques</h3><ul><li>    1) Multi-dimensional tree structures.</ul><p><li> <h3>Transaction Processing</h3><ul><li>    1) Advanced transaction models<li>    2) Workflow.<li>    3) Recovery algorithms.</ul><p><li> <h3>Buffer Management</h3><ul<li>    1) Replacement Algorithms</ul><p><li> <h3>Storage Management</h3><ul><li>    1) Replicated Storage vs Partitioned Storage<li>    2) Tertiary Storage</ul><p><li> <h3>Real-Time Databases</h3><p><li> <h3>Database Security</h3><p><li> <h3>Databases and the WWW</h3><p><li> <h3>OLAP(On-Line Analytical Processing)</h3><p><li> <h3>Parallel Query Processing</h3><ul><li>   1) Query Processing Algorithms<li>   2) System Design Issues</ul><p><li> <h3>Object-Oriented Database Systems</h3><ul><li>   1) Swizzling techniques<li>   2) Garbage collection</ul><p><li> <h3>Database Benchmarking</h3><p><li> <h3>Heterogeneous Databases</h3><ul><li>   1) Semantic Consistency and Schema Integration<li>   2) Query Processing</ul><p></ul><HR></body></html>

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