Beyond Us: CS DB Systems Research

Discovery Informatics and Computing Laboratory

Entire WWW bio.informatics.iupui.edu

Indiana University School of Informatics, Indianapolis
Purdue University School of Science Dept of Computer & Information Science, Indianapolis

	Computer Science -- DB Systems Research

Home

CS/DB Research
  Research Resources
  Inspiring Talks
  Classic Papers
  Interesting Reading
  Software Tools
  Data Resources
  Seminars
  Societies
  Conferences

Online Research Resources

DBLP Bibliography Server
ACM Digital Library, SIGMOD Home
IEEE digital library provide through IUB/IUPUI: CS Digital Library, IEEE Xplore Portal
Penn State CiteSeer Server
Database Research DBWorld DB Conference Announcements, VLDB E ndowment Home
IUPUI Library Library & Information Science, Science/Engineering/Technology, Ebrary ebooks, NetLibrary
IUB Library Onesearch@IU, ScienceDirect
ITPro Online IT books: Books24x7
Google Scholar: advanced or simple search interfaces.

Inspirational Talks

New Database Research Directions (2003)
Jeff D. Ullman believes these directions as "information integration, stream processing, semi-structured data and XML, peer-to-peer and grid databases, and data mining".

Classic Papers

A Relational Model of Data for Large Shared Data Banks
by E. F. Codd, in Communications of the ACM, Vol. 13, No. 6, June 1970, pp. 377-387. It layed a grand plan that seeded the rapid growth of relational database technology.

The Anatomy of a Large-Scale Hypertextual Web Search Engine
by Sergey Brin and Lawrence Page, in Proceedings of the 7th International World Wide Web Conference, 1998. It described the technical foundation for the Google search engine.

Interesting Reading

Computing by 2020 Nature Special Issue (2006)
What will the relationship between computing and science bring us over the next 15 years?

SIGKDD Special Issue on Link Mining (Vol 7 Issue 2, 2005)
How has web search technology advanced since Google?

Mining Scale-Free Networks using Geodesic Clustering
By Wu, M. Garland, and J. Han, at KDD'04, Seattle, WA, Aug. 2004.

Searching for intellectual turning points: Progressive Knowledge Domain Visualization
By Chaomei Chen, PNAS, 101 (Suppl. 1), 5303-5310.

Internet Advertising and the Generalized Second Price Auction: Selling Billions of Dollars Worth of Keywords
by Harvard, Stanford, and UC Berkeley researchers with special permission from Google, in Stanford Graduate School of Business Research Papers Section.

Software Resource

Data Management: Oracle, MySQL, PostgreSQL,
Data Mining: YALE, R, UCLA Stat Calculator, Tanagra / Sipina, GeNIe/SMILE (BaysianNet), NuClass (NeuroNet), Sciengy
Visualization: NetMiner, ESOM, GGobi
Programming: J2SE, Python, PHP, Perl (Win32, other platforms)

Data Resource

DB/CS Seminars

Stanford DB Seminar
Berkeley DB Seminar
IBM Almaden CS Seminar
VideoLectures.net Machine Learning and Data Mining Lectures

Professional Societies

Institute of Electrical and Electronics Engineers (A global technical professional society of electrical, electronics, computer, information & other technologies. I am currently an IEEE senior member.)
IEEE Computer Society (IEEE-CS, member since 1998)
Association for Computing Machinery (I am a member of the ACM since 1998)
IEEE Central Indiana Chapter (where I am the chair of Engineering in Biology and Medicine since mid-2005)

DB Conferences

CS Conference Impact Factor (by CiteSeer, May 2003)

SIGMOD: ACM SIGMOD Conf on Management of Data
PODS: ACM SIGMOD Conf on Principles of DB Systems
VLDB: Very Large Data Bases
ICDE: Intl Conf on Data Engineering
ICDT: Intl Conf on Database Theory
SSD: Intl Symp on Large Spatial Databases
DEXA: Database and Expert System Applications
FODO: Intl Conf on Foundation on Data Organization
EDBT: Extending DB Technology
DOOD: Deductive and Object-Oriented Databases
DASFAA: Database Systems for Advanced Applications
CIKM: Intl. Conf on Information and Knowledge Management
SSDBM: Intl Conf on Scientific and Statistical DB Mgmt
CoopIS - Conference on Cooperative Information Systems
ER - Intl Conf on Conceptual Modeling (ER)
COMAD: Intl Conf on Management of Data