Structural testing of rule-based expert systems
ACM Transactions on Software Engineering and Methodology (TOSEM)
Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
Text classification using ESC-based stochastic decision lists
Proceedings of the eighth international conference on Information and knowledge management
An integrated approach of rule-based and case-based reasoning for decision support
CSC '91 Proceedings of the 19th annual conference on Computer Science
A diagnostic system based on a multi-decision approximate rules model
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Rule-based video classification system for basketball video indexing
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Tools for World Wide Web based legal decision support systems
Proceedings of the 8th international conference on Artificial intelligence and law
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A rule-based framework for role-based delegation and revocation
ACM Transactions on Information and System Security (TISSEC)
Discovering decision rules from numerical data streams
Proceedings of the 2004 ACM symposium on Applied computing
On the discovery of significant statistical quantitative rules
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Extracting predicates from mining models for efficient query evaluation
ACM Transactions on Database Systems (TODS)
Hybrid web service composition: business processes meet business rules
Proceedings of the 2nd international conference on Service oriented computing
A rule-based framework for role-based constrained delegation
InfoSecu '04 Proceedings of the 3rd international conference on Information security
Sociomateriality - Taking the wrong turning?
Information and Organization
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This case assesses the plethora of issues related to rule-based decision engine technology, and in particular, its role in complex and dynamic organizational processes. This paper argues rule-based engines can effectively be implemented for good organizational decision making, even in environments consisting of large volumes of volatile data. Further, this case argues for the necessity of the successful integration of such rule-based technology for effectual management, improved information quality and superior decision making. This argument is conducted by analyzing the pre and post implementation situation at Capital One, a leading credit card and financial services company which has successfully implemented a large-scale rule-based decision engine system, as a component of its core debt collections processes, to achieve a hallmark competitive edge.