國立虎尾科技大學 |

Machine Learning and Knowledge Extraction = 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning and Knowledge Extraction/ edited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl.
Reminder of title:	6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings /
other author:	Holzinger, Andreas.
Description:	XIII, 378 p. 130 illus., 119 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-14463-9
ISBN:	9783031144639

Machine Learning and Knowledge Extraction = 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings /
Machine Learning and Knowledge Extraction6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings /[electronic resource] :edited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl. - 1st ed. 2022. - XIII, 378 p. 130 illus., 119 illus. in color.online resource. - Lecture Notes in Computer Science,134801611-3349 ;. - Lecture Notes in Computer Science,9324.

Explain to Not Forget: Defending Catastrophic Forgetting with XAI -- Approximation of SHAP values for Randomized Tree Ensembles -- Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning -- Effects of Fairness and Explanation on Trust in Ethical AI -- Towards Refined Classifications driven by SHAP explanations -- Global Intepretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration -- The ROC Diagonal is not Layperson’s Chance: a New Baseline Shows the Useful Area -- Debiasing MDI Feature Importance and SHAP values in Tree Ensembles -- The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap -- Identifying Fraud Rings Using Domain Aware Weighted Community Detection -- Capabilities, limitations and challenges of style transfer with CycleGANs: a study on automatic ring design generation -- Semantic Causal Abstraction for Event Prediction -- An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments -- Towards Generating Financial Reports From Tabular Data Using Transformers -- Evaluating the performance of SOBEK text mining keyword extraction algorithm -- Classification of Screenshot Image Captured in Online Meeting System -- A survey on the application of virtual reality in event-related potential research -- Visualizing Large Collections of URLs Using the Hilbert Curve -- How to Reduce the Time Necessary for Evaluation of Tree-based Models -- An Empirical Analysis of and Guidelines for Synthetic-Data-based Anomaly Detection -- SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients -- Comparing machine learning correlations to domain experts’ causal knowledge: Employee turnover use case -- Machine learning and knowledge extraction to support work safety for smart forest operations.

This book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022. The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

ISBN: 9783031144639

Standard No.: 10.1007/978-3-031-14463-9doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Machine Learning and Knowledge Extraction = 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings /
LDR:04121nam a22004215i 4500 001 1089581
003 DE-He213
005 20220810133232.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031144639 $9 978-3-031-14463-9
024 7 $a 10.1007/978-3-031-14463-9 $2 doi
035 $a 978-3-031-14463-9
050 4 $a Q334-342
050 4 $a TA347.A78
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Machine Learning and Knowledge Extraction $h [electronic resource] : $b 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings / $c edited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XIII, 378 p. 130 illus., 119 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Computer Science, $x 1611-3349 ; $v 13480
505 0 $a Explain to Not Forget: Defending Catastrophic Forgetting with XAI -- Approximation of SHAP values for Randomized Tree Ensembles -- Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning -- Effects of Fairness and Explanation on Trust in Ethical AI -- Towards Refined Classifications driven by SHAP explanations -- Global Intepretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration -- The ROC Diagonal is not Layperson’s Chance: a New Baseline Shows the Useful Area -- Debiasing MDI Feature Importance and SHAP values in Tree Ensembles -- The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap -- Identifying Fraud Rings Using Domain Aware Weighted Community Detection -- Capabilities, limitations and challenges of style transfer with CycleGANs: a study on automatic ring design generation -- Semantic Causal Abstraction for Event Prediction -- An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments -- Towards Generating Financial Reports From Tabular Data Using Transformers -- Evaluating the performance of SOBEK text mining keyword extraction algorithm -- Classification of Screenshot Image Captured in Online Meeting System -- A survey on the application of virtual reality in event-related potential research -- Visualizing Large Collections of URLs Using the Hilbert Curve -- How to Reduce the Time Necessary for Evaluation of Tree-based Models -- An Empirical Analysis of and Guidelines for Synthetic-Data-based Anomaly Detection -- SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients -- Comparing machine learning correlations to domain experts’ causal knowledge: Employee turnover use case -- Machine learning and knowledge extraction to support work safety for smart forest operations.
520 $a This book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022. The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Software engineering. $3 562952
650 0 $a Database management. $3 557799
650 0 $a Data mining. $3 528622
650 0 $a Information storage and retrieval systems. $3 561170
650 0 $a Machine theory. $3 527775
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Software Engineering. $3 669632
650 2 4 $a Database Management. $3 669820
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Information Storage and Retrieval. $3 593926
650 2 4 $a Formal Languages and Automata Theory. $3 1365747
700 1 $a Holzinger, Andreas. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 792501
700 1 $a Kieseberg, Peter. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1267185
700 1 $a Tjoa, A Min. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 675492
700 1 $a Weippl, Edgar. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 669967
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031144622
776 0 8 $i Printed edition: $z 9783031144646
830 0 $a Lecture Notes in Computer Science, $x 0302-9743 ; $v 9324 $3 1258960
856 4 0 $u https://doi.org/10.1007/978-3-031-14463-9
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)