The 9th International Conference on Database Systems for Advanced Appli- tions (DASFAA 2004) was held during March 17-19, 2004 on the beautiful Jeju island of Korea. The DASFAA conference provides an international forum for technical discussions among researchers, developers, and users of database - stems from academia, business, and industry. The main focus of DASFAA is on research in database theory, development of advanced DBMS technologies, and their advanced applications. A premier database conference in the Asia/Paci?c region, DASFAA has been held every two years, and in many countries in the - gion. To promote the area further and to answer the needs of many participants, the steering committee decided to hold the conference annually. DASFAA 2004 was the ?rst such annual conference. The conference was organized by the Special Interest Group on Databases (SIGDB) of the Korea Information Science Society and the Advanced Infor- tion Technology Research Center (AITrc) at KAIST - an engineering research center of excellence (ERC) supported by the Korea Science and Engineering Foundation (KOSEF). We had a number of sponsors who made generous cont- butionstomaketheconferencesuccessful. TheyareOracleKorea, SamsungSDS, Korea Telecom Data, Inc., the United States Air Force O?ce of Scienti?c Re- arch, theAsianO?ceofAerospaceResearch&Development, theArmyResearch O?ce-Far East, and the Korea Advanced Institute of Science and Technology (KAIST).

This book constitutes the refereed proceedings of the 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003, held in Seoul, Korea in April/Mai 2003. The 38 revised full papers and 20 revised short papers presented together with two invited industrial contributions were carefully reviewed and selected from 215 submissions. The papers are presented in topical sections on stream mining, graph mining, clustering, text mining, Bayesian networks, association rules, semi-structured data mining, classification, data analysis, and feature selection.