Graph drawing by force-directed placement
Software—Practice & Experience
Journal of the American Society for Information Science
An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
Literature-based discovery by lexical statistics
Journal of the American Society for Information Science
Textual Data Mining to Support Science and Technology Management
Journal of Intelligent Information Systems
Journal of the American Society for Information Science and Technology
KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Visualization of patent analysis for emerging technology
Expert Systems with Applications: An International Journal
Qualitative Chance Discovery - Extracting competitive advantages
Information Sciences: an International Journal
Discovering competitive intelligence by mining changes in patent trends
Expert Systems with Applications: An International Journal
Innovation Game as a Tool of Chance Discovery
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Innovators Marketplace as Game on the Table versus Board on the Web
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
Innovation support system for creative product design based on chance discovery
Expert Systems with Applications: An International Journal
Unsupervised discovery of relations for analysis of textual data
Digital Investigation: The International Journal of Digital Forensics & Incident Response
iChance: A Web-Based Innovation Support System for Business Intelligence
International Journal of Organizational and Collective Intelligence
Creating patents on the new technology using analogy-based patent mining
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
A new trend of researches on knowledge discovery and chance discovery is to identify human insights through data synthesis rather than to discover facts through data analysis. In this paper, we propose a systematic approach named idea discovery which is committed to turning data into effective human insights. Idea discovery focuses on dynamic and sustainable process for high-quality ideas cultivation, construction, integration and evaluation through human-computer and human-human interaction. It mainly relies on latent information and its dynamic changes to drive ideas creation, integration and evaluation during sustainable creativity process. The process of idea discovery is in accordance with a dynamic model which contains two key components: (1) mining algorithms to turn data into scenario maps for eliciting human insights; (2) scenario-based creativity support activities towards actionable ideas generation. An intelligence system called Galaxy integrated with IdeaGraph algorithm has been developed to support the dynamic process of idea discovery. A case study in an automobile company has validated the effectiveness of proposed method and system.