Advances in Chance Discovery Extended Selection from International Workshops /

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 shar...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ohsawa, Yukio (Editor ), Abe, Akinori (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Studies in Computational Intelligence, 423
Temas:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Cognition and Communication toward Chance Discovery
  • Curation and Communication in Chance Discovery
  • Turning Down a Chance: An Argument From Simplicity
  • A Chance Favors a Prepared Mind: Chance Discovery from Cognitive Psychology
  • Data Visualization as Chance Curation
  • Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks
  • Map Interface for a Text Data Set by Recursive Clustering
  • Multimodal Discussion Analysis based on Temporal Sequence
  • Framework of early adopters roaming among tribes for discovering innovative creation
  • Data-Driven Innovation Technologies for Smarter Business from Innovators' Market Game to iChance Creativity Support System
  • Computational and Logical Cutting Edges for Analysis and Synthesis of Data
  • Paired Evaluators Method to Track Concept Drift: An Application in Finance
  • Efficient Service Discovery Among Heterogeneous Agents Using a Novel Agent Ranking Algorithm
  • Discovering Chances for Health Problems and Falls in the Elderly using Data Mining Approach
  • Temporal Logics Modeling Logical Uncertainty, Local and Global Chance Discovery
  • Discovering Probabilistic Models of Pilot Behavior from Aircraft Telemetry Data
  • Constructing Feature Set by using Temporal Clustering of Term Usages in Document Categorization
  • Finding Rare Patterns with Weak Correlation Constraint: Progress in Indicative and Chance Patterns.

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