The First International Conference on

A growing attention has been paid to the study, development and application of data mining. As a result there is an

urgent need for sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data

mining in the context of spatial-temporal characteristics. Our knowledge on data mining should also have

to be expanded to new applications.

The First International Conference on Advanced Data Mining and Applications (ADMA2005) aims at bringing

together the experts on data mining in the world, and provides a leading international forum for the

dissemination of original research results in data mining, spanning applications, algorithms, software and systems,

and different applied disciplines with potential in data mining.

The paper should be in English and contain unpublished contributions to the data mining fields. The proceedings

of the conference will be published by Springer: Lecture Notes in Computer Science series. The selected papers

will be invited for a re-submission for an extended paper to be published on the Special Issue of journal IJDWM.

Key Topics:

The ADMA’05 includes but is not limited to the following topics:

Advanced Data Mining Topics
l Grand challenges of data mining	l Parallel and distributed data mining algorithms
l Mining on data streams	l Graph and subgraph mining
l Spatial data mining	l Text video, multimedia data mining
l Web mining	l Correlation mining
l High performance data mining algorithms	l Bench marking and evaluations
l Data-mining-ready structures and pre-processing	l Interactive data mining
l Data mining visualization	l Security and privacy issues
l Information hiding in data mining	l Competitive analysis of mining algorithms

Data Mining Applications
l Database administration, indexing, performance tuning	l Software engineering
l DNA Sequencing, Bioinformatics, Genomics, and biometrics	l Image interpretations
l Medical informatics	l E-commerce and Web services
l Disaster prediction	l Remote monitoring
l Financial market analysis	l Online filtering

Organised by

Sponsored by

Technically Co-sponsored by

IEEE Queensland Section