As many large-scale enterprise information systems start to utilize P2P networks, parallel, grid, cloud and Internet computing, they have become a major source of business information. Techniques and methodologies to extract quality information in distributed systems are of paramount importance for many applications and users in the business community. Data mining and knowledge discovery play key roles in many of today’s prominent business intelligence applications to uncover relevant information of competitors, consumers, markets, and products, so that appropriate marketing and product development strategies can be devised. In addition, formal methods and architectural infrastructures for related issues in distributed systems, such as e-commerce and computer security, are being explored and investigated by many researchers.
BIDS aims to bring together scientists, engineers, and practitioners to discuss, exchange ideas, and present their research findings on business intelligence applications, techniques and methodologies in distributed systems.
Topics of interest that BIDS covers include general business intelligence techniques and methodologies, as well as their application in distributed systems (but are not limited to):
Accepted papers will be published by Springer.