Comparison of interestingness functions for learning web usage patterns
Proceedings of the eleventh international conference on Information and knowledge management
Mining Multiple-Level Association Rules in Large Databases
IEEE Transactions on Knowledge and Data Engineering
Alternative Interest Measures for Mining Associations in Databases
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Efficient mining of both positive and negative association rules
ACM Transactions on Information Systems (TOIS)
Generating a Condensed Representation for Association Rules
Journal of Intelligent Information Systems
A Case Study in Sequential Pattern Mining for IT-Operational Risk
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Maximum entropy based significance of itemsets
Knowledge and Information Systems
Ranking sequential patterns with respect to significance
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
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We present a pattern-based solution risk model for assessing risk of incurring a cost-overrun in Strategic IT Outsourcing (SO) by the SO provider based on historical deals and their corresponding cost overruns. The approach is based on finding co-occurring patterns of solution elements and cost-overrun elements, i.e., elements that had to be implemented as not foreseen in the project planning phase. In order to find such co-occurring patterns we apply closed itemset-mining augmented with item cost information and build corresponding association rules with risk information. Such rules can be used by project managers of SO contracts to minimize the gap between the proposed and implemented solutions. In experiments, conducted on a sample of deals of a multi-national SO provider, we show the applicability of the framework for predicting significant cost-overruns. The introduced model is a general solution risk model for service delivery, whose task is to minimize the gap between proposed and implemented service elements by the provider based on historical deals.