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

This volume contains papers from five workshops held at ECML PKDD 2022, covering topics such as data science for social good, mining complex patterns, explainable knowledge discovery, uplift modeling, IoT, edge, and mobile for embedded machine learning, cybersecurity, buildings energy management, pharma and healthcare applications, data analysis in life science, and IoT streams for predictive maintenance.

Format: Paperback / softback
Length: 487 pages
Publication date: 31 January 2023
Publisher: Springer International Publishing AG

This comprehensive volume comprises the proceedings of several workshops that were held in conjunction with the International Workshops of ECML PKDD 2022, which took place in Grenoble, France, from September 19 to 23, 2022. The book features 73 revised full papers and 6 short papers, carefully selected from a total of 143 submissions.

ECML PKDD 2022 offers a diverse range of workshops, covering various topics in machine learning and knowledge discovery in databases. Here are the five workshops that were held during the conference:

Workshop on Data Science for Social Good (SoGood 2022): This workshop aimed to explore the application of data science and machine learning techniques to address social challenges and promote social good. The workshop featured presentations and discussions on topics such as healthcare, education, poverty alleviation, and environmental sustainability.

Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022): NFMCP 2022 focused on exploring innovative methods and algorithms for mining complex patterns from large datasets. The workshop covered topics such as graph mining, network analysis, and pattern recognition.

Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022): XKDD 2022 aimed to promote the understanding and development of explainable knowledge discovery techniques in data mining. The workshop featured presentations and discussions on topics such as feature selection, model interpretation, and visualization.

Workshop on Uplift Modeling (UMOD 2022): UMOD 2022 explored the use of uplift modeling techniques for predicting and improving user behavior. The workshop featured presentations and discussions on topics such as user segmentation, recommendation systems, and user engagement.

Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2022): ITEM 2022 focused on the application of machine learning in IoT, edge, and mobile devices. The workshop covered topics such as edge computing, mobile sensing, and autonomous systems.

Workshop on Mining Data for Financial Application (MIDAS 2022): MIDAS 2022 aimed to explore the use of data mining techniques for financial applications such as fraud detection, risk assessment, and market analysis. The workshop featured presentations and discussions on topics such as financial data analysis, machine learning algorithms, and big data processing.

Workshop on Machine Learning for Cybersecurity (MLCS 2022): MLCS 2022 focused on the application of machine learning techniques to enhance cybersecurity. The workshop featured presentations and discussions on topics such as intrusion detection systems, anomaly detection, and threat modeling.

Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022): MLBEM 2022 aimed to explore the use of machine learning techniques for energy management in buildings. The workshop featured presentations and discussions on topics such as building automation, energy optimization, and smart grid technologies.

Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022): PharML 2022 focused on the application of machine learning techniques to healthcare and pharmaceutical applications. The workshop featured presentations and discussions on topics such as drug discovery, medical imaging, and patient diagnosis.

Workshop on Data Analysis in Life Science (DALS 2022): DALS 2022 aimed to promote the use of data analysis techniques in life science research. The workshop featured presentations and discussions on topics such as genomics, proteomics, and bioinformatics.

Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022): IoT-PdM 2022 focused on the use of IoT streams for predictive maintenance in industrial environments. The workshop featured presentations and discussions on topics such as sensor data analysis, machine learning algorithms, and real-time monitoring.

In conclusion, ECML PKDD 2022 provided a platform for researchers and practitioners to exchange ideas, share expertise, and explore new frontiers in machine learning and knowledge discovery in databases. The conference featured a diverse range of workshops that covered a wide range of topics, from social good to cybersecurity, and from healthcare to energy management. The contributions presented in this book will undoubtedly contribute to the ongoing development of these fields.

Weight: 771g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031236327
Edition number: 1st ed. 2023