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This book is a timely collection of chapters that present the state
of the art within the analysis and application of big data. Working
within the broader context of big data, this text focuses on the
hot topics of social network modelling and analysis such as online
dating recommendations, hiring practices, and subscription-type
prediction in mobile phone services. Manuscripts are expanded
versions of the best papers presented at the IEEE/ACM International
Conference on Advances in Social Networks Analysis and Mining
(ASONAM'2016), which was held in August 2016. The papers were among
the best featured at the meeting and were then improved and
extended substantially. Social Network Based Big Data Analysis and
Applications will appeal to students and researchers in the field.
This book is a timely collection of chapters that present the state
of the art within the analysis and application of big data. Working
within the broader context of big data, this text focuses on the
hot topics of social network modelling and analysis such as online
dating recommendations, hiring practices, and subscription-type
prediction in mobile phone services. Manuscripts are expanded
versions of the best papers presented at the IEEE/ACM International
Conference on Advances in Social Networks Analysis and Mining
(ASONAM'2016), which was held in August 2016. The papers were among
the best featured at the meeting and were then improved and
extended substantially. Social Network Based Big Data Analysis and
Applications will appeal to students and researchers in the field.
This book constitutes the refereed proceedings of the 19th
International Conference on Technologies and Applications of
Artificial Intelligence, held in Taipei, Taiwan, in November 2014.
The 23 revised full papers, 3 short papers, and 8 workshop papers
presented at the international track of the conference were
carefully reviewed and selected from overall 93 submissions to the
international track, domestic track, and international workshops
for inclusion in this volume. The papers feature original research
results and practical development experiences among researchers and
application developers from the many AI related areas including
machine learning, data mining, statistics, computer vision, web
intelligence, information retrieval, and computer games.
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