Advances in Chance Discovery (Record no. 96961)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-642-30114-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220082847.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642301148
-- 978-3-642-30114-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-30114-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q342
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ohsawa, Yukio.
Relator term editor.
245 10 - TITLE STATEMENT
Title Advances in Chance Discovery
Medium [electronic resource] :
Remainder of title Extended Selection from International Workshops /
Statement of responsibility, etc edited by Yukio Ohsawa, Akinori Abe.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 250 p. 92 illus.
Other physical details online resource.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume number/sequential designation 423
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.  
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Abe, Akinori.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642301131
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Computational Intelligence,
-- 1860-949X ;
Volume number/sequential designation 423
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-30114-8
912 ## -
-- ZDB-2-ENG

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