Pacific-Asia Conference on Knowledge Discovery and Data Mining
Nanjing, China - This leading international conference in data mining and knowledge discovery aims to bring together practitioners and researchers both from companies, government and academia, therefore promoting the exchange of experiences, ideas and challenges.
The 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007) is a leading international conference in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causal induction and knowledge-based systems.
The conference calls for research papers reporting original investigation results and industrial track papers reporting real data mining applications and system development experience. The conference also solicits proposals focusing on specific new challenges and emergency issues of knowledge discovery and data mining, and calls for tutorials proposals focusing on crucial technologies of knowledge discovery and data mining.
For more information on PAKDD 2007, please contact Zhi-Hua Zhou: [email protected]
Data Mining for Business
This workshop will be held together with PAKDD 2007. The successful development of Data Mining (DM) and Business Intelligence (BI) solutions for business, government and science applications requires a deep understanding of the application context as well as of state-of-the-art processes, methods and tools. To achieve this, companies and universities work in close contact.
Objectives
To promote the exchange of ideas between researchers and practitioners, from companies, government and universities by presenting and discussing:
- Case studies and experience reports of the application of data mining (DM) and business intelligence (BI) technologies, emphasizing the benefits as well as the lessons learned
- Challenges and innovative applications of DM & BI
- Integration of DM & BI with other technologies and business processes
For information on Data Mining, please contact: [email protected]
