BI-CBC 2014 - The 3rd International Workshop on Business Intelligence with Case-Based Computing (BI-CBC 2014)

Business intelligence is regarded as an important tool for domestic and international firms to
assist decision-making in the lifecycle of real or virtual production, namely: supply, outsource,
manufacturing, sale, and service. Not all processes in the lifecycle of production can be modeled
well with economic and mathematic models. In lots of specific problems of business, no mature
theories have been found till now. However, lots of sample, regarded as cases, can be collected to
support business decisions. For this type of problem, case-based computing techniques and
methods are very useful in assisting decision-making of corporations, educators, and
governmental officials. Business intelligence with case-based computing refers to processing case
information accumulated in the operation with statistical, intelligence, operational research, and
decision techniques and methods in order to provide knowledge guiding decision-making related
to firms. The International Workshop on Business Intelligence with Case-Based Computing
focuses on case-based and business-related computing techniques and methods, e.g., case-based
reasoning and learning, case-based forecasting, case-based clustering, case-based ensemble,
case-based evolutionary computing, case-based fuzzy computing, case-based statistical computing,
case-based grey computing, case-based cloudy computing, case-based decision computing, etc.,
and problems of business intelligence applications, e.g., accounting and financial management,
manufacturing management, medical management, health management, supply chain management,
credit risk management, information management, customer relationship management, etc..
This special workshop intends to provide a premier and open forum for discussion of
innovative case-based computing techniques & methods, and original applications in business
related decisions. Perspective authors are encouraged to submit papers on any aspect of the topics,
but not limited to the following topics:
Techniques/Methodologies
 case-based reasoning and learning,  case-based forecasting,  case-based clustering,
 case-based ensemble,  case-based evolutionary computing,  case-based fuzzy
computing,
 case-based statistical computing,  case-based grey computing,  case-based cloudy
computing,  case-based decision computing,  Others
Applications
 Business Failure Prediction/Bankruptcy Prediction/Financial Distress Prediction and
some other accounting-related problems  Credit Risk Prediction/Sale Forecasting/Customer Churn Prediction and some other
sale-related problems
 Medical Diagnosis and Health Management and some other medical-related management
 Supplier Evaluation / Supplier Selection / Supplier Diagnosis and some other related
problems in Supply Chain Management
 Stock Price Prediction and some other financial problems
 Information security problems
 Others