Related Research Resources

Database Research

• ACM SIGMOD -- Special Interest Group on the Management of Data
• DBLP Bibliography of Database Research
• Other Database Information
• Data Mining and Knowledge Discovery

Database Research Study Resources

• Reading Lists
  • Stanford Qualifer Reading List
• PhD Qualifying Exams
  • Wisconsin DB Qualifier Archive
  • Stanford Qualifer Archive

Basic Research Resources

• A good searchable bibliography for database and data mining literature: DBLP Bibliography Server. DBLP is a good starting point for finding papers related to a given topic or papers by a specific author or group. In addition, it has links to on-line versions of many of the papers.
• The Research Index for Computer Science also has a large collection of CS publications indexed by keyword and linked by citation structure. This can be extremely useful if you have an article and want to find follow-up work or any later work that cites the article.
• Both DBLP and the Research Index have links to on-line versions of many papers. But you can also use a standard search engine like Google to find papers. Often a search on the paper title will reveal sites with on-line cached (publicly available) copies of the paper. (Note that this often works for ACM and IEEE papers for which you might need a membership to access the copies in their digital libraries.)

Writing Resources

• My own tips and common mistakes in Computer Science writing
• Elements of Style basics of good writing style
• The American Heritage Book of English Usage
• Webster's Dictionary and Thesaurus

Experiment Resources

• Data on the Web
  • Data on the Net (University of California-San Diego, USA) A searchable repository of annotated links to downloadable data, data archive home pages, data catalogues, and distributors and vendors of data. Contains links to sites with census data, geographic data, social science data, etc.
  • KDD Nuggets list of datasets
  • UCI Knowledge Discovery in Databases Archive This is an online repository of relatively large data sets which encompasses a wide variety of data types, analysis tasks, and application areas. The primary role of this repository is to enable researchers in knowledge discovery and data mining to scale existing and future data analysis algorithms to very large and complex data sets.
  • UCI Machine Learning Repository Contains several small data sets with a variety of data characteristics, including some high dimensional data sets.
• Generating Synthetic Data
  • Synthetic Data Generation Code for Association Rule and Classification Mining