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The proceedings from the eighth KMO conference represent the
findings of this international meeting which brought together
researchers and developers from industry and the academic world to
report on the latest scientific and technical advances on knowledge
management in organizations. This conference provided an
international forum for authors to present and discuss research
focused on the role of knowledge management for innovative services
in industries, to shed light on recent advances in social and big
data computing for KM as well as to identify future directions for
researching the role of knowledge management in service innovation
and how cloud computing can be used to address many of the issues
currently facing KM in academia and industrial sectors.
Proceedings from the 2013 LTEC conference in Kaohsiung, Taiwan. The
papers examine diverse aspects of Learning Technology for Education
in Cloud environments, including social, technical and
infrastructure implications. Also addressed is the question of how
cloud computing can be used to design applications to support real
time on demand learning using technologies. The workshop
proceedings provide opportunities for delegates to discuss the
latest research in TEL (Technology Enhanced Learning) and its
impacts for learners and institutions, using cloud technologies.
These papers on Intelligent Data Analysis and Management (IDAM)
examine issues related to the research and applications of
Artificial Intelligence techniques in data analysis and management
across a variety of disciplines. The papers derive from the 2013
IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary
research field involving academic researchers in information
technologies, computer science, public policy, bioinformatics,
medical informatics, and social and behavior studies, etc. The
techniques studied include (but are not limited to): data
visualization, data pre-processing, data engineering, database
mining techniques, tools and applications, evolutionary algorithms,
machine learning, neural nets, fuzzy logic, statistical pattern
recognition, knowledge filtering, and post-processing, etc.
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Multidisciplinary Social Networks Research - International Conference, MISNC 2014, Kaohsiung, Taiwan, September 13-14, 2014. Proceedings (Paperback, 2014 ed.)
Leon Shyue-Liang Wang, Jason J. June, Chung-Hong Lee, Koji Okuhara, Hsin-Chang Yang
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R1,613
Discovery Miles 16 130
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 2014
Multidisciplinary International Social Networks Research, MISNC
2014, held in Kaohsiung, Taiwan, in September 2014. The 37 full
papers presented were carefully reviewed and selected from numerous
submissions. The papers are organized in topical sections on
electronic commerce, e-business management, and social networks;
social networks issues on sociology, politics and statistics;
information technology for social networks analysis and mining;
social networks for global eHealth and bio-medics; security, open
data, e-learning and other related topics; intelligent data
analysis and its applications.
The proceedings from the eighth KMO conference represent the
findings of this international meeting which brought together
researchers and developers from industry and the academic world to
report on the latest scientific and technical advances on knowledge
management in organizations. This conference provided an
international forum for authors to present and discuss research
focused on the role of knowledge management for innovative services
in industries, to shed light on recent advances in social and big
data computing for KM as well as to identify future directions for
researching the role of knowledge management in service innovation
and how cloud computing can be used to address many of the issues
currently facing KM in academia and industrial sectors.
Proceedings from the 2013 LTEC conference in Kaohsiung, Taiwan. The
papers examine diverse aspects of Learning Technology for Education
in Cloud environments, including social, technical and
infrastructure implications. Also addressed is the question of how
cloud computing can be used to design applications to support real
time on demand learning using technologies. The workshop
proceedings provide opportunities for delegates to discuss the
latest research in TEL (Technology Enhanced Learning) and its
impacts for learners and institutions, using cloud technologies.
These papers on Intelligent Data Analysis and Management (IDAM)
examine issues related to the research and applications of
Artificial Intelligence techniques in data analysis and management
across a variety of disciplines. The papers derive from the 2013
IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary
research field involving academic researchers in information
technologies, computer science, public policy, bioinformatics,
medical informatics, and social and behavior studies, etc. The
techniques studied include (but are not limited to): data
visualization, data pre-processing, data engineering, database
mining techniques, tools and applications, evolutionary algorithms,
machine learning, neural nets, fuzzy logic, statistical pattern
recognition, knowledge filtering, and post-processing, etc.
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