BIDS 2013 - The 2-nd International Workshop on Business Intelligence and Distributed Systems (BIDS-2013)

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-2013 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-2013 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
Accepted papers will be published by the Conference Publishing Services (CPS) and archived in the Digital Library.