Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II / 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.

Format:

Book

Contributor:

Koprinska, Irena, Editor.

Mignone, Paolo., Editor.

Guidotti, Riccardo, Editor.

Jaroszewicz, Szymon., Editor.

Fröning, Holger., Editor.

Gullo, Francesco, Editor.

Ferreira, Pedro M., Editor.

Roqueiro, Damian., Editor.

Ceddia, Gaia., Editor.

Nowaczyk, Slawomir., Editor.

Gama, João, Editor.

Ribeiro, Rita, Editor.

Gavaldà, Ricard., Editor.

Masciari, Elio, Editor.

Raś, Zbigniew, Editor.

Ritacco, Ettore, Editor.

Naretto, Francesca., Editor.

Theissler, Andreas., Editor.

Biecek, Przemyslaw., Editor.

Verbeke, Wouter., Editor.

Schiele, Gregor, Editor.

Pernkopf, Franz., Editor.

Blott, Michaela., Editor.

Bordino, Ilaria., Editor.

Danesi, Ivan Luciano., Editor.

Ponti, Giovanni., Editor.

Severini, Lorenzo., Editor.

Appice, Annalisa, Editor.

Andresini, Giuseppina., Editor.

Medeiros, Ibéria., Editor.

Graça, Guilherme., Editor.

Cooper, Lee, Editor.

Ghazaleh, Naghmeh., Editor.

Richiardi, Jonas, Editor.

Saldana, Diego., Editor.

Sechidis, Konstantinos., Editor.

Canakoglu, Arif., Editor.

Pido, Sara., Editor.

Pinoli, Pietro., Editor.

Bifet, Albert, Editor.

Pashami, Sepideh., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Communications in computer and information science 1865-0937 ; 1753

Communications in Computer and Information Science, 1865-0937 ; 1753

Language:

English

Subjects (All):

Artificial intelligence.

Computer networks.

Social sciences-Data processing.

Application software.

Education-Data processing.

Artificial Intelligence.

Computer Communication Networks.

Computer Application in Social and Behavioral Sciences.

Computer and Information Systems Applications.

Computers and Education.

Local Subjects:

Artificial Intelligence.

Computer Communication Networks.

Computer Application in Social and Behavioral Sciences.

Computer and Information Systems Applications.

Computers and Education.

Physical Description:

1 online resource (XIX, 487 pages) : 132 illustrations, 111 illustrations in color.

Edition:

1st ed. 2023.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

System Details:

text file PDF

Summary:

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).

Contents:

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)

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)

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)

Detecting Drift in Healthcare AI Models based on Data Availability

Assessing Different Feature Selection Methods applied to a bulk RNA Sequencing Dataset 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)

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)

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. .

Other Format:

Printed edition:

ISBN:

978-3-031-23633-4

9783031236334

Access Restriction:

Restricted for use by site license.