Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advances in Chance Discovery: Extended Selection from International Workshops

Advances in Chance Discovery: Extended Selection from International Workshops

Abe, Akinori
Ohsawa, Yukio

Paperback

Series: Studies in Computational Intelligence, Book 423

Technology & EngineeringGeneral Computers

ISBN10: 3642445446
ISBN13: 9783642445446
Publisher: Springer Nature
Published: Sep 20 2014
Pages: 250
Weight: 0.82
Height: 0.55 Width: 6.14 Depth: 9.21
Language: English
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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