With the advancement of information technology and declining hardware price,
organizations and companies are able to collect large amount of personal data.
Moreover, advanced data analysis and mining techniques have been proposed to
derived patterns hidden in data. However, the increasing power in data
processing and analysis also raises concerns over the proper usage of personal
information. It was found that a sensitive medical record was uniquely linked to
a named voter record in a publicly available voter list through the shared
attributes of Zip, Birth date and Sex. It is not surprising that many
organizations are reluctant to disclose their data even when there may be great
potential gains from the data exploration. Therefore research in the area of
privacy preservation is deemed important for both theoretical and practical
reasons. PPDA 2009 will be held in conjunction with DASFAA 2009 conference, and
aims to bring together researchers in different fields related to privacy
preserving data analysis and to provide a forum where researchers and
practitioners can share and exchange their knowledge and experience.
PPDA 2009 will be published in a combined volume of Lecturer Notes in Computer
Science series published by Springer. We invite original
research contributions on generic and applied research on privacy. The PPDA 2009
topics of interest include but are certainly not limited to the following areas: