| This volume features a selection of five papers from the 38th Conference on Data Management – Principles, Technologies, and Applications (BDA 2022).
Within this special issue, we selected three articles covering noteworthy research areas, including temporal graph management systems, time series prediction models and exploratory analysis, and data clustering and classification. Authors of the selected papers were invited to prepare and submit journal versions of their contributions, which underwent a thorough re-review by the editorial board of this issue.
Furthermore, we are pleased to present two additional extended papers from invited talks at BDA 2022. These papers address significant topics such as explanations for query answers in databases and the key challenges encountered in healthcare data analytics over knowledge graphs. Including these papers adds depth and relevance to the special issue, addressing critical topics within the field.
We sincerely thank the authors and reviewers who dedicated their time and expertise to making this special issue successful. Their hard work and valuable insights significantly shaped the content of this volume. We would also like to thank the Editors-in-Chief, Abdelkader Hameurlain and A Min Tjoa, for their guidance and support
throughout this endeavor.
As part of the TLDKS journal series, this special issue aims to contribute to advancing data management research and its practical applications. We hope that the papers presented here inspire further exploration, spark new ideas, and ultimately contribute to the growth and development of the field.
LNCS 14160
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