Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Text mining: finding nuggets in mountains of textual data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Knowledge Discovery in Texts for Constructing Decision Support Systems
Applied Intelligence
Evolving GATE to meet new challenges in language engineering
Natural Language Engineering
A text-mining system for knowledge discovery from biomedical documents
IBM Systems Journal
Combining data and text mining techniques for analysing financial reports: Research Articles
International Journal of Intelligent Systems in Accounting and Finance Management
Tapping the power of text mining
Communications of the ACM - Privacy and security in highly dynamic systems
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Expert Systems with Applications: An International Journal
Review: Ontologies application in organizational learning: A literature review
Expert Systems with Applications: An International Journal
A framework for collaboration moderator services to support knowledge based collaboration
Journal of Intelligent Manufacturing
Generating rules from data mining for collaboration moderator services
Journal of Intelligent Manufacturing
Knowledge discovery in inspection reports of marine structures
Expert Systems with Applications: An International Journal
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Post-Project Reviews (PPRs) are a rich source of knowledge and data for organisations - if organisations have the time and resources to analyse them. Too often these reports are stored, unread by many who could benefit from them. PPR reports attempt to document the project experience - both good and bad. If these reports were analysed collectively, they may expose important detail, e.g. recurring problems or examples of good practice, perhaps repeated across a number of projects. However, because most companies do not have the resources to thoroughly examine PPR reports, either individually or collectively, important insights and opportunities to learn from previous projects, are missed. This research explores the application of knowledge discovery techniques and Text Mining to uncover patterns, associations, and trends from PPR reports. The results might then be used to address problem areas, enhance processes, and improve customer relationships. A case study related to two construction companies is presented in this paper and knowledge discovery techniques are used to analyse 50 PPR reports collected during the last three years. The case study has been examined in six contexts and the results show that Text Mining has a good potential to improve overall knowledge reuse and exploitation.