Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II

The 21st Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021, was held online due to the COVID-19 pandemic. This two-volume set includes the refereed proceedings of the workshops, which covered various topics in machine learning and knowledge discovery, including interpretable machine learning, parallel and distributed learning, graph embedding and mining, IoT, edge, and mobile for embedded machine learning, eXplainable Knowledge Discovery in Data Mining, bias and fairness in AI, active inference, machine learning for cybersecurity, machine learning in software engineering, mining data for financial applications, social good, pharma and healthcare applications, evaluation and experimental design in data mining and machine learning, and machine learning for buildings energy management.

Format: Paperback / softback
Length: 584 pages
Publication date: 19 February 2022
Publisher: Springer Nature Switzerland AG

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21st Joint European Conference on Machine Learning and Knowledge Discovery in Databases,ECML PKDD, held in September 2021. Due to the COVID-19 pandemic, the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submitted for the workshops.

This two-volume set includes the proceedings of the following workshops:

Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)

Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)

Workshop on Graph Embedding and Mining (GEM 2021)

Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)

Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)

Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)

Workshop on Bias and Fairness in AI (BIAS 2021)

Workshop on Workshop on Active Inference (IWAI 2021)

Workshop on Machine Learning for Cybersecurity (MLCS 2021)

Workshop on Machine Learning in Software Engineering (MLiSE 2021)

Workshop on MIning Data for financial applications (MIDAS 2021)

Sixth Workshop on Data Science for Social Good (SoGood 2021)

Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)

Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)

Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)

Weight: 926g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030937324
Edition number: 1st ed. 2021