Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Application of learning algorithms to predicting stock prices
Frontier decision support concepts
Optimization of collection efforts in automobile financing—a KDD supported environment
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Knowledge acquisition via incremental conceptual clustering
Knowledge acquisition via incremental conceptual clustering
International Journal of Information and Communication Technology
| Hi-index | 0.00 |
New technology is dramatically changing the role of business systems and practices in the banking and insurance world. Computers, mass storage, and electronic datacapture are now all commonplace. However, to analyze and transform financial data or customer portfolio information into useable knowledge is difficult and very time consuming. The use of KDD and data mining as an analysis and decision support tool has become widely accepted within financial services. Here we give an overview of techniques applicable, in particular, to the fields of market and credit risk management, trading, portfolio management, customer care, and marketing in financial institutions.