The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.

Arti?cial intelligence has recently been re-energized to provide the clues needed to resolve complicated problems. AI is also expected to play a central role in enhancing a wide variety of daily activities. JSAI (The Japanese Society for Arti?cial Intelligence) is responsible for boosting the activities of AI researchers in Japan, and their series of annual conferences o?ers attractive forums for the exposition of the latest achievements and inter-group communication. In the past, the best papers of the conferences were published in the LNAI series. This book consists of award papers from the 22nd annual conference of the JSAI (JSAI 2008) and selected papers from the three co-located workshops. Eight papers were selected among more than 400 presentations at the conference and 18 papers were selected from the 34 presentations at the co-located wo- shops; Logic and Engineering of Natural Language Semantics 5 (LENLS 2008), the 2nd International Workshop on Juris-informatics (JURISIN 2008), and the First International Workshop on Laughter in Interaction and Body Movement (LIBM 2008). The award papers from JSAI 2008 were selected through a r- orous selection process. In the process, papers recommended by session chairs, session commentators, and PC members were carefully reviewed, before the ?nal decision was made.

The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.

The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.