Word association norms, mutual information, and lexicography
Computational Linguistics
Self organizing neural networks for financial diagnosis
Decision Support Systems
Self-organizing maps
Combining IS Research Methods: Towards a Pluralist Methodology
Information Systems Research
Technology and knowledge: bridging a "generating" gap
Information and Management
Visualizing sequences of texts using collocational networks
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Deciding the financial health of dot-coms using rough sets
Information and Management
Market reactions to E-business outsourcing announcements: an event study
Information and Management
Electronic Commerce Research and Applications
Detection of financial statement fraud and feature selection using data mining techniques
Decision Support Systems
Stock price movement prediction using representative prototypes of financial reports
ACM Transactions on Management Information Systems (TMIS)
Financial early warning system model and data mining application for risk detection
Expert Systems with Applications: An International Journal
BizPro: Extracting and categorizing business intelligence factors from textual news articles
International Journal of Information Management: The Journal for Information Professionals
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This paper adopts a multi-methodological approach to information systems research in order to produce new information through data mining. This approach is particularly suitable for mining material that consists of both qualitative and quantitative information. The contents of quarterly reports from three telecommunications companies were compared. The study focused on the years 2000-2001, a period of economic decline for many IT companies. The central quantitative data, reflected by seven financial ratios, were visualised using self-organising maps. The qualitative data, consisting of the textual contents of the reports, were visualised using collocational networks; these showed the relationships between the central concepts in the texts. As the visualisations of the contents were compared, certain patterns could be found. The results seemed to suggest that changes in the networks indicated future changes in the self-organising maps. In the cases studied, a change in the textual data usually indicated a change in the financial data in the following quarter. This may be a consequence of the fact that the texts reflected the plans and future expectations of management, whereas the financial ratios reflected the current financial situation of the company.