Ever since the early days of machine learning and data mining, it has been realized that the traditional attribute-value and item-set representations are too limited for many practical applications. This book collects studies on mining and learning within graphs, trees and sequences in studies worldwide.

The progress in information technology including arti?cial intelligence (AI) in the last few decades is remarkable, and has attracted many young researchers to this ?eld. This trend is now accelerated along with the recent rapid growth of computer communicationnetworksandthe worldwideincreaseinresearchers. In this context, we have observed many outstanding AI studies in Japanese dom- tic conferences. They have high technical originality, quality and signi?cance. The annual conference of JSAI (Japan Society for Arti?cial Intelligence) is one of the key and representative domestic meetings in...

This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.

ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. PAKDD 2008, the 12th in the series, was heldatOsaka, JapanduringMay20-23,2008.PAKDDisaleadinginternational conference in the area of data mining. It provides an international forum for - searchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD-related areas - cluding data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scienti?c discovery, data visualization,...

Intelligent information technology has signi?cantly progressed along with the rapid growth of computer communication networks in the last decade. The - search in this domain became highly active under the worldwide growing en- ronment providing the objective study issues. The research situation in Japan is no exception in this trend. An enormous number of studies in intelligent - formation technology are presented every year in Japanese domestic conferences associated with this ?eld. Many of them are outstanding in terms of the tech- cal originality, quality and signi?cance. The annual...

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016.

The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly...

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016.

The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly...