Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Record no. 187072)

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control field 978-3-031-23633-4
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control field DE-He213
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control field 20240423130307.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031236334
-- 978-3-031-23633-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-23633-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Medium [electronic resource] :
Remainder of title International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II /
Statement of responsibility, etc edited by Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana, Konstantinos Sechidis, Arif Canakoglu, Sara Pido, Pietro Pinoli, Albert Bifet, Sepideh Pashami.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
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-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XIX, 487 p. 132 illus., 111 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Communications in Computer and Information Science,
International Standard Serial Number 1865-0937 ;
Volume number/sequential designation 1753
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Workshop on Mining Data for Financial Application (MIDAS 2022) -- Preface from the workshop organisers -- Multi-Task Learning for Features Extraction in Financial Annual Reports -- What to do with your sentiments in finance -- On the development of a European tracker of societal issues and economic activities using alternative data -- Privacy-preserving machine learning in life insurance risk prediction -- Financial Distress Model Prediction using Machine Learning: A Case Study on Indonesia’s Consumers Cyclical Companies -- Improve default prediction in highly unbalanced context -- Towards Explainable Occupational Fraud Detection -- Towards Data-Driven Volatility Modeling with Variational Autoencoders -- Auto-Clustering of Financial Reports Based on Formatting Style and Author’s Fingerprint -- InFi-BERT 1.0: Transformer-based language model for Indian Financial Volatility Prediction -- Workshop on Machine Learning for Cybersecurity (MLCS 2022) -- Preface from the workshop organisers -- Intrusion Detection using Ensemble Models -- Domain Adaptation with Maximum Margin Criterion with application to network traffic classification -- Evaluation of Detection Limit in Network Dataset Quality Assessment with Permutation Testing -- Towards a General Model for Intrusion Detection: An Exploratory Study -- Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) -- Preface from the workshop organisers -- Conv-NILM-Net, a causal and multi-appliance model for energy source separation -- Domestic Hot Water Forecasting for Individual Housing with Deep Learning -- Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) -- Preface from the workshop organisers -- Detecting Drift in Healthcare AI Models based on Data Availability -- Assessing Different Feature Selection Methods applied to a bulk RNA SequencingDataset with regard to Biomedical Relevance -- Predicting Drug Treatment for Hospitalized Patients with Heart Failure -- A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients -- Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-Trained Transformer Language Models -- A Light-weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices -- Workshop on Data Analysis in Life Science (DALS 2022) -- Preface from the workshop organisers -- I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads -- Italian debate on measles vaccination: how Twitter data highlight communities and polarity -- Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022) -- Preface from the workshop organisers -- Online Anomaly Explanation: A Case Study on Predictive Maintenance -- Fault forecasting using data-driven system modeling:a case study for Metro do Porto data set -- An online data-driven predictive maintenance approach for railway switches -- curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection -- Incorporating Physics-based Models into Data-Driven Approaches for Air Leak Detection in City Buses -- Towards Geometry-Preserving Domain Adaptation for Fault Identification -- A systematic approach for tracking the evolution of XAI as a field of research -- Frequent Generalized Subgraph Mining via Graph Edit Distances. .
520 ## - SUMMARY, ETC.
Summary, etc This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Education
General subdivision Data processing.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Application in Social and Behavioral Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers and Education.
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Personal name Koprinska, Irena.
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Personal name Mignone, Paolo.
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Personal name Guidotti, Riccardo.
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Personal name Jaroszewicz, Szymon.
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Personal name Fröning, Holger.
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Personal name Gullo, Francesco.
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Personal name Ferreira, Pedro M.
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Personal name Roqueiro, Damian.
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Personal name Ceddia, Gaia.
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Personal name Nowaczyk, Slawomir.
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Personal name Gama, João.
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Personal name Ribeiro, Rita.
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Personal name Gavaldà, Ricard.
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Personal name Masciari, Elio.
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Personal name Ras, Zbigniew.
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Personal name Ritacco, Ettore.
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Personal name Naretto, Francesca.
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Personal name Theissler, Andreas.
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Personal name Biecek, Przemyslaw.
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Personal name Verbeke, Wouter.
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Personal name Schiele, Gregor.
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Personal name Danesi, Ivan Luciano.
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Personal name Ponti, Giovanni.
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Personal name Severini, Lorenzo.
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Personal name Appice, Annalisa.
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Personal name Andresini, Giuseppina.
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Personal name Medeiros, Ibéria.
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Personal name Pido, Sara.
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Title Springer Nature eBook
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Display text Printed edition:
International Standard Book Number 9783031236327
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031236341
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Communications in Computer and Information Science,
-- 1865-0937 ;
Volume number/sequential designation 1753
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-23633-4">https://doi.org/10.1007/978-3-031-23633-4</a>
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