[1]
Ohsawa Y. Chance Discovery[M]. Springer- Verlag, 2003. [2] Abe A. Cognitive chance discovery: From abduction to affordance and curation[J] International Journal of Cognitive Informatics and Cognitive Computing, 2013, 8(2): 308-314. [3] McBurney P, Parsons S. Chance discovery and scenario analysis[J]. New Generation Computing, 2003, 21(1): 13-22. [4] 张振亚, 程红梅, 王煦法. 从数据挖掘到机会/征兆发现[J]. 计算机科学, 2007, 34(10): 188-191. [5] 张振亚, 程红梅, 张曙光. 基于六度分离理论的机会发现场景构造方法[J]. 模式识别与人工智能, 2011, 24(3): 332-339. Zhang Z Y, Cheng H M, Zhang S G. Anapproach to construction of scenario map in chance discovery based on six degree of separation theory[J]. Pattern Recognition and Artificial Intelligence, 2011, 24(3): 332-339. [6] 张振亚, 程红梅, 张曙光. 机会发现中简单场景构造方法研究[J]. 计算机工程, 2011, 37(8): 192-193, 196. Zhang Z Y, Cheng H M, Zhang S G.Research on approach of simple scenario map construction in chance discovery[J]. Computer Engineering, 2011, 37(8): 192-193, 196. [7] Rybakov V V. Chance discovery and unification in linear modal logic[C]// Proceeding of 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. Kaiserslautern, Germany: Springer, 2011: 478-485.
[8] Chiu T F. An integration of grounded theory and chance discovery to explore the technology opportunity[J]. International Journal of Intelligent Information and Database Systems, 2012, 6(3): 231-254. [9] Abe A. Relation between chance discovery and Black Swan awareness[C]// Proceeding of 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. Kaiserslautern, Germany: Springer, 2011: 495-504. [10] Ohsawa Y, Matsumura N, Okazaki N. Understanding scenarios of individual patients of hepatitis in double helical process involving KeyGraph and DSV[C]// Proceeding of 4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology. Springer, 2005:456-469. [11] Ohsawa Y, Nara Y. Understanding Internet users on double helical model of chance-discovery process[C]// Proceedings of the IEEE International Symposium on Intelligent Control. Baltimore, USA: IEEE Press, 2002: 844-849. [12] Oehlmann R, Gill B. A diagrammatic approach to discovering chances in team relationships[C]// Proceedings of 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. Kaiserslautern, Germany: Springer, 2011:440-441 [13] 何先友,杨惠,李惠娟,等. 空间情境模型的更新:认知方式的影响[J]. 心理学报,2011,43(11): 1247-1262. [14] 李金波,许百华,田学红.人机交互中认知负荷变化预测模型的构建[J]. 心理学报,2010,42(5): 559-568. [15] 王沛,林崇德. 社会认知的理论模型综述[J].心理科学,2002,25(1): 73-75. [16] Gasson S, Waters J. Using a grounded theory approach to study online collaboration behaviors[J]. European Journal of Information Systems, 2013, 22(1): 95-118. [17] Hoda R, Noble J, Marshall S. Developing a grounded theory to explain the practices of self-organizing Agile teams[J]. Empirical Software Engineering, 2012, 17(6): 609-639. [18] Chien Ming-Kuei, Chang Te-Ming, Kuo Wei-Chun, Applying Grounded Theory to study green supply chain management practices in Taiwan's industry[C]// International Technology Management Conference. Bangalore, India: IEEE Press, 2012: 129-136. [19] Chiu T F. An integration of grounded theory and chance discovery to explore the technology opportunity[J]. International Journal of Intelligent Information and Database Systems, 2012, 6(3): 231-254.
[20] Yang F S, Wang A L, Yang Y T. Using chance discovery in recruiting strategies to explore potential students in Taiwan[C]// Proceedings of 6th Asian Conference on Intelligent Information and Database Systems. Bangkok, Thailand: Springer, 2014: 444-453. [21] Abe A. Curating and mining (big) data[C]// Proceedings of IEEE 13th International Conference on Data Mining Workshops. Dallas, USA: IEEE Press, 2013: 664-671. [22] Wang H, Xu F J, Hu X H, et al. IdeaGraph: A graph-based algorithm of mining latent information for human cognition[C]// Proceedings of 2013 IEEE International Conference on Systems, Man, and Cybernetics. Manchester, UK: IEEE Press, 2013: 952-957. [23] Shimizu A, Suzuki Y, Ueda H. A dress coordination robot system which can improve user's ability by a dialogue robot[J]. Communications in Computer and Information Science, 2013, 374: 606-610. [24] Wang H, Ohsawa Y. Idea discovery: A scenario-based systematic approach for decision making in market innovation[J]. Expert Systems with Applications, 2013, 40(2): 429-438. [25] Zhang C, Wang H, Xu F J, et al. IdeaGraph plus: A topic-based algorithm for perceiving unnoticed events[C]// Proceedings of IEEE 13th International Conference on Data Mining Workshops. Dallas, USA: IEEE Press, 2013: 735-741. [26] Su I. Chance discovery in teaching of EFL writing using weak tie to innovation model (WTTI Model)[C]// Proceedings of 3rd International Conference on Innovations in Bio-Inspired Computing and Applications. Taiwan, China: IEEE Press, 2012: 344-349. [27] Abe A. Visualization as curation with a holistic communication[C]// Proceedings of 2012 Conference on Technologies and Applications of Artificial Intelligence. Washington, USA: IEEE Press, 2012: 266-271. [28] Wang H, Ohsawa Y, Nishihara Y. Innovation support system for creative product design based on chance discovery[j]. Expert Systems with Applications, 2012, 39(5): 4890-4897. [29] Ohsawa Y, Yada K. Discovery of significant events for decision making[J]. Information Sciences, 2009, 79(11): 1567-1569. [30] Wang H, Ohsawa Y, Lv P, et al. IdeaGraph: Turning data into human insights for collective intelligence[J]. Advances in Intelligent Systems and Computing, 2014, 213: 33-44. [31] Khezerlou A V, Alizadeh S. A new model for discovering process trees from event logs[J]. Applied Intelligence, 2014, 41( 3):7 25-735. |