Project Topics (Suggestions)
Ideas for statistical term-papers, survey papers and software
demo projects follow.
A Sample Statitical Term-Paper
Statistically summarize the publication activity
across different research topics (or validation methodologies used)
in database forums in last 5 to 10 years.
Several conference proceedings and journals are
available on-line from VLDB, SIGMOD and DBLP websites.
You can choose a sample subset of publication forms.
It may be helpful to prepare a summary chart (e.g. Figure 3, pp. 656,
textbook) to show the change in number of publications on each topic
by the year in conferences and journals.
Similar statistics on the methodology of choice would be useful.
You are welcome of think of other informative statistical (and data
mining, knowledge discovery) tools and techniques to highlight trends.
The term paper should document the major results as well as the
data collection and analysis procedures.
Survey the publications within a specific research topics
within database forums in last 5 to 10 years. Sample topics
include temporal dataases, spatial databases, multimedia databases,
mobile computing and databases, data warehouses, web databases,
etc. You may find more topics from the call for papers (see SIGMOD
website) from latest conferences on databases.
You may consider updating a recent survey paper. This will reduce
your literature survey work to the publications since the selected
survey paper was prepared (usually a year before publication).
Extensive sources for survey papers include ACM Computing Surveys,
IEEE Computer (e.g. Embedded Databases survey in 9/2000 issue),
and Communications of the ACM.
A recent issue of IEEE Transactions on Knowledge and Data Eng. (January 1999)
also featured a number of survey papers on database topics.
Conferences often feature tutorials on special topics and the notes (if
available) can be useful sources.
The term paper shouls summarize major accomplishments and
next challanges. The format of the survey paper may resemble
those used in survey papers presented in chapter 9 of the textbook
or other survey papers.
A Sample Software Demo Project
An interesting project relates to DBMS for personal information
management (PIM) which is descibed briefly in
section 4.2 of T9.3 at pp. 675 of textbook. This project may
be structured by addressing the following questions:
Other software prototype development projects can be developed
using similar steps.
- Describe a typical day in your life. Identify the information and
querying needs to support the major activities. (Are some of these
geographic in nature?)
- Propose a benchmark for designing and evaluating a DBMS for PIMs
by identifying the key datasets, data types, computations and queries.
- Consider the hardware and software platforms (e.g. Personal Digital
Assitants or PDAs) mentioned in the paper. Compare the characteristics
(e.g. CPU, Storage, Communication) of these devices with those of
typical computers hosting traditional DBMSs.
- List the potential impact of the unique characteristics of PDAs
on the design of DBMSs. It may help to decompose this problem by the
components of traditional DBMSs.
- Identify the key design issues in designing PIM DBMS on PDAs.
Select the 5 most critical decisions.
- List alternative ways of resolving the top 5 design issues.
Restrict your choices to 2 to 3 alternative for each design issue.
- Compare the alternatives for one of the design issue.
Identify the comparison methodology. List preliminary results
characterizing the dominance zone of the alternatives.
- Develop a prototype to demonstrate your work and write
a short paper documenting the key findings.
Spatial Databases Term-Papers and Projects
As you already know, the instructor's research interests lie in the
area of spatial databases and spatial data mining. Some of the current
projects in this area are listed at
Problems of Current Interest.
You are welcome to chose a project related to these problems
and interact with the spatial database research group.
Other faculty members with reesarch projects in database area
include Prof. John Carlis, Prof. Jaideep Srivastava, and
Prof. John Riedl. You are encouraged to visit them and browse their
web-pages to learn about their research projects. You may find
interesting ideas for course projects this way.
The views and opinions expressed in this page are strictly those of the page author.
The contents of this page have not been reviewed or approved by the University of Minnesota.