Chance discoveries for making decisions in complex real world

Chance discovery is to become aware of a chance and to explain its significance, especially if the chance is rare and its significance is unnoticed. This direction matches with various real requirements in human life. This paper presents the significance, viewpoints, theories, methods, and future work of chance discovery. Three keys for the progress are extracted from fundamental discussions on how to realize chance discovery: (1) communication, (2) imagination, and (3) data mining. As an approach to chance discovery, visualized data mining methods are formalized as tools aiding chance discoveries on the basis of these keys.

[1]  T. Terano,et al.  Finding users' latent interests for recommendation by learning classifier systems , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

[2]  Haym Hirsh,et al.  Learning to Predict Rare Events in Event Sequences , 1998, KDD.

[3]  Yasufumi Takama,et al.  Discovery of topic distribution through WWW information retrieval process , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

[4]  J. Cacioppo,et al.  Attitudes and Persuasion: Classic and Contemporary Approaches , 1981 .

[5]  Mitsuru Ishizuka,et al.  Methodological considerations on chance discovery , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

[6]  Yukio Ohsawa,et al.  KeyGraph: automatic indexing by co-occurrence graph based on building construction metaphor , 1998, Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-.

[7]  I. Nonaka,et al.  The Knowledge Creating Company , 2008 .

[8]  S. Kosslyn Image and mind , 1982 .

[9]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[10]  D. Walton,et al.  Commitment in Dialogue: Basic Concepts of Interpersonal Reasoning , 1995 .

[11]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[12]  Toby Walsh,et al.  Search in a Small World , 1999, IJCAI.

[13]  Tsukasa Hirashima,et al.  The Role of Counterexamples in Discovery Learning Environment: Awareness of the Chance for Learning , 2001, JSAI Workshops.

[14]  Umeshwar Dayal,et al.  From User Access Patterns to Dynamic Hypertext Linking , 1996, Comput. Networks.

[15]  Vicenç Torra Fuzzy Knowledge Based Systems and Chance Discovery , 2001, JSAI Workshops.

[16]  Vicenç Torra 68. Fuzzy Knowledge Based Systems and Chance Discovery , 2001 .

[17]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[18]  H. Fukuda Discovery of Rare Essential Foods by Community Navigation with KeyGraph - An Introduction to Data-based Community Marketing , 2001 .

[19]  C. Klüppelberg,et al.  Modelling Extremal Events , 1997 .

[20]  Mitsuru Ishizuka,et al.  Average-Clicks: A New Measure of Distance on the World Wide Web , 2001, Web Intelligence.

[21]  Yoav Shoham,et al.  Learning Information Retrieval Agents: Experiments with Automated Web Browsing , 1995 .

[22]  Mitsuru Ishizuka,et al.  A Document as a Small World , 2001, JSAI Workshops.

[23]  Hiroko Shoji,et al.  Chance Discovery by Creative Communicators Observed in Real Shopping Behavior , 2001, JSAI Workshops.

[24]  Shusaku Tsumoto,et al.  Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets , 2000, PAKDD.

[25]  Heikki Mannila,et al.  Discovering Frequent Episodes in Sequences , 1995, KDD.

[26]  Yukio Ohsawa,et al.  Discover Risky Active Faults by Indexing an Earthquake Sequence , 1999, Discovery Science.

[27]  Some Methodological Considerations on Chance Discovery , 2001 .

[28]  PAUL EMBRECHTS,et al.  Modelling of extremal events in insurance and finance , 1994, Math. Methods Oper. Res..

[29]  J. Schlesselman,et al.  Sample size requirements in cohort and case-control studies of disease. , 1974, American journal of epidemiology.

[30]  Mitsuru Ishizuka,et al.  WebBeholder: a source of community interests and trends based on cooperative change monitoring service on the Web , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

[31]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

[32]  John S. Gero,et al.  Computational Models of Creative Design Processes , 1994 .

[33]  Katsutoshi Yada,et al.  Discovering Interpretable Rules that Explain Customers' Brand Choice Behavior , 2000, Discovery Science.

[34]  D. Watts,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2001 .

[35]  Y. Ohsawa,et al.  Decision trees as a model of chance perception , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[36]  Yukio Ohsawa,et al.  Tools for shifting human context into disasters: a case-based guideline for computer-aided earthquake proofs , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

[37]  Yukio Ohsawa,et al.  Refining Search Expression by Discovering Hidden User's Interests , 1998, Discovery Science.

[38]  Peter McBurney,et al.  Chance Discovery Using Dialectical Argumentation , 2001, JSAI Workshops.

[39]  Yoshikiyo Kato,et al.  Integrating Data Mining Techniques and Design Information Management for Failure Prevention , 2001, JSAI Workshops.

[40]  Mitsuru Ishizuka,et al.  Discovery of Emerging Topics between Communities on WWW , 2001, Web Intelligence.

[41]  Mitsuru Ishizuka,et al.  Discovering Topics to Enhance Communities of Creation from Links to the Future , 2001, WWW Posters.

[42]  A. K. Pujari,et al.  Data Mining Techniques , 2006 .

[43]  Y. Hirooka,et al.  Recommending books of revealed and latent interests in e-commerce , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

[44]  L. Postman,et al.  The psychology of rumor , 1947 .