CALL FOR PAPERS (pdf)

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):

• Business Text, Data, and Media Mining
• Distributed System Architecture and Infrastructure for Business Intelligence
• Marketing Information Retrieval and Client Knowledge Discovery
• Consumer Social Networks and On-Line Communities
• Market Information Categorisation and Fusion
• Web Search, Ranking and Optimisation of Business Sites and Products
• Collaborative Filtering, Personalisation and Recommender Systems for Business Products
• Semantic Web and Ontology for Business Intelligence Technology
• Cyber Security, Privacy, and Trust in e-Commerce
• e-Technology, e-Government, and e-Learning for Business
• Business Wikis and Blogs Mining
• Web Intelligence
• Competitive Intelligence
• Business Web Evolution and Analytics
• Data Analytics in Fleet Management, Reliability Engineering and Industrial Applications
• Simulation of Business Processes
• Sensor Utilization and Fusion in Business and Industrial Applications

Accepted papers will be published by Springer.