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Advances in Chance Discovery : Extended Selection from International Workshops

Autor: Yukio Ohsawa; Akinori Abe
Editorial: Berlin, Heidelberg : Springer, 2013.
Serie: Studies in computational intelligence, 423.
Edición/Formato:   Libro-e : Inglés (eng)Ver todas las ediciones y todos los formatos
Resumen:

Fusing input from seemingly unrelated disciplines including engineering and literature, this edited collection is the product of a number of workshops on the topic and covers a range of chance  Leer más

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Tipo de material: Recurso en Internet
Tipo de documento Recurso internet
Todos autores / colaboradores: Yukio Ohsawa; Akinori Abe
ISBN: 9783642301148 3642301142
Número OCLC: 820468989
Descripción: Online-Ressource (XIV, 250 p. 92 illus, digital)
Contenido: 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.
Título de la serie: Studies in computational intelligence, 423.
Responsabilidad: edited by Yukio Ohsawa, Akinori Abe.

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