| Description |
1 online resource |
| Series |
Studies in computational intelligence, 1860-949X ; 423 |
|
Studies in computational intelligence ; 423.
|
| Contents |
Curation in Chance Discovery / Akinori Abe -- Turning Down a Chance An Argument from Simplicity / Emanuele Bardone and Lorenzo Magnani -- A Chance Favors a Prepared Mind: Chance Discovery from Cognitive Psychology / Hitoshi Terai and Kazuhisa Miwa -- Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks / Peter Sarlin -- Map Interface for a Text Data Set by Recursive Clustering / Wataru Sunayama, Shuhei Hamaoka and Kiyoshi Okuda -- Multimodal Discussion Analysis Based on Temporal Sequence / Katsumi Nitta -- Framework of Early Adopters Roaming among Tribes for Discovering Innovative Creation / Mu-Hua Lin, Chao-Fu Hong, Hsiao-Fang Yang and Ai-Ling Wang -- Data-Driven Innovation Technologies for Smarter Business from Innovators' Market Game to iChance Creativity Support System / Hao Wang and Yukio Ohsawa |
|
Paired Evaluators Method to Track Concept Drift: An Application in Finance / Masabumi Furuhata, Takanobu Mizuta and Jihei So -- Efficient Service Discovery among Heterogeneous Agents Using a Novel Agent Ranking Algorithm / Hao Lan Zhang, Clement H.C. Leung, Chaoyi Pang and Xijin Tang -- Discovering the Chances of Health Problems and Falls in the Elderly Using Data Mining / Bogdan Pogorelc and Matjaž Gams -- Temporal Logics Modeling Logical Uncertainty, Local and Global Chance Discovery / Vladimir Rybakov -- Discovering Probabilistic Models of Pilot Behavior from Aircraft Telemetry Data / Kirk Ogaard and Ronald Marsh -- Constructing Feature Set by Using Temporal Clustering of Term Usages in Document Categorization / Hidenao Abe and Shusaku Tsumoto -- Finding Rare Patterns with Weak Correlation Constraint: Progress in Indicative and Chance Patterns / Yoshiaki Okubo, Makoto Haraguchi and Takeshi Nakajima |
| Summary |
Since year 2000, scientists on artificial and natural intelligences started to study chance discovery - methods for discovering events/situations that significantly affect decision making. Partially because the editors Ohsawa and Abe are teaching at schools of Engineering and of Literature with sharing the interest in chance discovery, this book reflects interdisciplinary aspects of progress: First, as an interdisciplinary melting pot of cognitive science, computational intelligence, data mining/visualization, collective intelligence ... etc, chance discovery came to reach new application domains e.g. health care, aircraft control, energy plant, management of technologies, product designs, innovations, marketing, finance etc. Second, basic technologies and sciences including sensor technologies, medical sciences, communication technologies etc. joined this field and interacted with cognitive/computational scientists in workshops on chance discovery, to obtain breakthroughs by stimulating each other. Third, "time" came to be introduced explicitly as a significant variable ruling causalities - background situations causing chances and chances causing impacts on events and actions of humans in the future. Readers may urge us to list the fourth, fifth, sixth ... but let us stop here and open this book |
| Analysis |
Engineering |
|
Artificial intelligence |
|
Computational Intelligence |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
| Subject |
Data mining -- Congresses
|
|
Decision making -- Data processing -- Congresses
|
|
Ingénierie.
|
|
Data mining
|
|
Decision making -- Data processing
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Ohsawa, Y. (Yukio), 1968-
|
|
Abe, Akinori
|
| ISBN |
9783642301148 |
|
3642301142 |
|
3642301134 |
|
9783642301131 |
|
