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This book constitutes the refereed proceedings of the 17th
International Conference on Knowledge Management in
Organisations, KMO 2023, held in Bangkok,
Thailand, during July 24–27, 2023. The 32 full papers
included in this book were carefully reviewed and selected
from 73 submissions. They were organized in topical sections as
follows: Knowledge Transfer & Sharing, Knowledge in
Business & Organisation, Digital Transformation and
Innovation, Data Analysis and Science, KM and
Education, Knowledge Management Process and
Model, Information & Knowledge Systems, IT &New
Trends in KM, Healthcare.
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Knowledge Management in Organizations - 14th International Conference, KMO 2019, Zamora, Spain, July 15-18, 2019, Proceedings (Paperback, 1st ed. 2019)
Lorna Uden, I-Hsien Ting, Juan Manuel Corchado
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R1,642
Discovery Miles 16 420
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Ships in 10 - 15 working days
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This book contains the refereed proceedings of the 14th
International Conference on Knowledge Management in Organizations,
KMO 2019, held in Zamora, Spain, in July 2019. The 46 papers
accepted for KMO 2019 were selected from 109 submissions and are
organized in topical sections on: knowledge management models and
analysis; knowledge transfer and learning; knowledge and service
innovation; knowledge creation; knowledge and organization;
information systems and information science; data mining and
intelligent science; social networks and social aspects of KM; big
data and IoT; and new trends in IT.
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Knowledge Management in Organizations - 13th International Conference, KMO 2018, Zilina, Slovakia, August 6-10, 2018, Proceedings (Paperback, 1st ed. 2018)
Lorna Uden, Branislav Hadzima, I-Hsien Ting
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R3,100
Discovery Miles 31 000
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Ships in 10 - 15 working days
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This book contains the refereed proceedings of the 13th
International Conference on Knowledge Management in Organizations,
KMO 2018, held in Zilina, Slovakia, in August 2018. The theme of
the conference was "Emerging Research for Knowledge Management in
Organizations."The 59 papers accepted for KMO 2018 were selected
from 141 submissions and are organized in topical sections on:
Knowledge management models and analysis; knowledge sharing;
knowledge transfer and learning; knowledge and service innovation;
knowledge creation; knowledge and organization; information systems
and information science; knowledge and technology management; data
mining and intelligent science; business and customer relationship
management; big data and IoT; and new trends in IT.
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Knowledge Management in Organizations - 12th International Conference, KMO 2017, Beijing, China, August 21-24, 2017, Proceedings (Paperback, 1st ed. 2017)
Lorna Uden, Wei Lu, I-Hsien Ting
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R3,285
Discovery Miles 32 850
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Ships in 10 - 15 working days
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This book contains the refereed proceedings of the 12th
International Conference on Knowledge Management in Organizations,
KMO 2017, held in Beijing, China, in August 2017. The theme of the
conference was "Emerging Technology and Knowledge Management in
Organizations." The 45 contributions accepted for KMO 2017 were
selected from 112 submissions and are organized in topical sections
on: Knowledge Management Models and Behaviour Studies; Knowledge
Sharing; Knowledge Transfer and Learning; Knowledge and Service
Innovation; Knowledge and Organization; Information Systems
Research; Value Chain and Supply Chain; Knowledge Re-presentation
and Reasoning; Data Mining and Intelligent Science; Big Data
Management; Internet of Things and Network.
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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Knowledge Management in Organizations - 10th International Conference, KMO 2015, Maribor, Slovenia, August 24-28, 2015, Proceedings (Paperback, 1st ed. 2015)
Lorna Uden, Marjan Hericko, I-Hsien Ting
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R1,727
Discovery Miles 17 270
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Ships in 10 - 15 working days
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This book contains the refereed proceedings of the 10th
International Conference on Knowledge Management in Organizations,
KMO 2015, held in Maribor, Slovenia, in August 2015. The theme of
the conference was "Knowledge Management and Internet of Things."
The KMO conference brings together researchers and developers from
industry and academia to discuss how knowledge management using big
data can improve innovation and competitiveness. The 59
contributions accepted for KMO 2015 were selected from 163
submissions and are organized in topical sections on: knowledge
management processes, successful knowledge sharing and knowledge
management practices, innovations for competitiveness, knowledge
management platforms and tools, social networks and mining
techniques, knowledge management and the Internet of Things,
knowledge management in health care, and knowledge management in
education and research.
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Knowledge Management in Organizations - 9th International Conference, KMO 2014, Santiago, Chile, September 2-5, 2014, Proceedings (Paperback, 2014 ed.)
Lorna Uden, Darcy Fuenzaliza Oshee, I-Hsien Ting, Dario Liberona
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R2,827
Discovery Miles 28 270
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Ships in 10 - 15 working days
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This book contains the refereed proceedings of the 9th
International Conference on Knowledge Management in Organizations
(KMO) held in Santiago, Chile, during September 2014. The theme of
the conference is "Knowledge Management to Improve Innovation and
Competitiveness through Big Data." The KMO conference brings
together researchers and developers from industry and academia to
discuss and research how knowledge management using big data can
improve innovation and competitiveness. The 39 contributions
accepted for KMO 2014 were selected from 89 submissions and are
organized in sections on: big data and knowledge management,
knowledge management practice and case studies, information
technology and knowledge management, knowledge management and
social networks, knowledge management in organizations, and
knowledge transfer, sharing and creation.
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.
Mining social networks has now becoming a very popular research
area not only for data mining and web mining but also social
network analysis. Data mining is a technique that has the ability
to process and analyze large amount of data and by this to discover
valuable information from the data. In recent year, due to the
growth of social communications and social networking websites,
data mining becomes a very important and powerful technique to
process and analyze such large amount of data. Thus, this book will
focus upon Mining and Analyzing social network. Some chapters in
this book are extended from the papers that presented in MSNDS2009
(the First International Workshop on Mining Social Networks for
Decision Support) and SNMABA2009 ((The International Workshop on
Social Networks Mining and Analysis for Business Applications)). In
addition, we also sent invitations to researchers that are famous
in this research area to contribute for this book. The chapters of
this book are introduced as follows: In chapter 1-Graph Model for
Pattern Recognition in Text, Qin Wu et al. present a novel approach
that uses a weighted directed multigraph for text pattern
recognition. In the proposed methodology, a weighted directed
multigraph model has been set up by using the distances between the
keywords as the weights of arcs as well a keyword-frequency
distance based algorithm has also been introduced. Case studies are
also included in this chapter to show the performance is better
than traditional means.
Web mining has become a popular area of research, integrating the
different research areas of data mining and the World Wide Web.
According to the taxonomy of Web mining, there are three sub-fields
of Web-mining research: Web usage mining, Web content mining and
Web structure mining. These three research fields cover most
content and activities on the Web. With the rapid growth of the
World Wide Web, Web mining has become a hot topic and is now part
of the mainstream of Web - search, such as Web information systems
and Web intelligence. Among all of the possible applications in Web
research, e-commerce and e-services have been iden- fied as
important domains for Web-mining techniques. Web-mining techniques
also play an important role in e-commerce and e-services, proving
to be useful tools for understanding how e-commerce and e-service
Web sites and services are used, e- bling the provision of better
services for customers and users. Thus, this book will focus upon
Web-mining applications in e-commerce and e-services. Some chapters
in this book are extended from the papers that presented in WMEE
2008 (the 2nd International Workshop for E-commerce and
E-services). In addition, we also sent invitations to researchers
that are famous in this research area to contr- ute for this book.
The chapters of this book are introduced as follows: In chapter 1,
Peter I.
Web mining has become a popular area of research, integrating the
different research areas of data mining and the World Wide Web.
According to the taxonomy of Web mining, there are three sub-fields
of Web-mining research: Web usage mining, Web content mining and
Web structure mining. These three research fields cover most
content and activities on the Web. With the rapid growth of the
World Wide Web, Web mining has become a hot topic and is now part
of the mainstream of Web - search, such as Web information systems
and Web intelligence. Among all of the possible applications in Web
research, e-commerce and e-services have been iden- fied as
important domains for Web-mining techniques. Web-mining techniques
also play an important role in e-commerce and e-services, proving
to be useful tools for understanding how e-commerce and e-service
Web sites and services are used, e- bling the provision of better
services for customers and users. Thus, this book will focus upon
Web-mining applications in e-commerce and e-services. Some chapters
in this book are extended from the papers that presented in WMEE
2008 (the 2nd International Workshop for E-commerce and
E-services). In addition, we also sent invitations to researchers
that are famous in this research area to contr- ute for this book.
The chapters of this book are introduced as follows: In chapter 1,
Peter I.
Mining social networks has now becoming a very popular research
area not only for data mining and web mining but also social
network analysis. Data mining is a technique that has the ability
to process and analyze large amount of data and by this to discover
valuable information from the data. In recent year, due to the
growth of social communications and social networking websites,
data mining becomes a very important and powerful technique to
process and analyze such large amount of data. Thus, this book will
focus upon Mining and Analyzing social network. Some chapters in
this book are extended from the papers that presented in MSNDS2009
(the First International Workshop on Mining Social Networks for
Decision Support) and SNMABA2009 ((The International Workshop on
Social Networks Mining and Analysis for Business Applications)). In
addition, we also sent invitations to researchers that are famous
in this research area to contribute for this book. The chapters of
this book are introduced as follows: In chapter 1-Graph Model for
Pattern Recognition in Text, Qin Wu et al. present a novel approach
that uses a weighted directed multigraph for text pattern
recognition. In the proposed methodology, a weighted directed
multigraph model has been set up by using the distances between the
keywords as the weights of arcs as well a keyword-frequency
distance based algorithm has also been introduced. Case studies are
also included in this chapter to show the performance is better
than traditional means.
|
Knowledge Management in Organisations - 16th International Conference, KMO 2022, Hagen, Germany, July 11-14, 2022, Proceedings (Paperback, 1st ed. 2022)
Lorna Uden, I-Hsien Ting, Birgit Feldmann
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R2,484
Discovery Miles 24 840
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Ships in 10 - 15 working days
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This book contains the refereed proceedings of the 16th
International Conference on Knowledge Management in Organizations,
KMO 2022, held in Hagen, Germany, in July 2022. The 24 full papers
and 5 short papers accepted for KMO 2022 were selected from 61
submissions and are organized in topical sections on: knowledge
transfer and sharing; knowledge and organization; knowledge and
service innovation; industry 4.0; information and knowledge
systems; intelligent science; AI and new trends in KM.
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Knowledge Management in Organizations - 15th International Conference, KMO 2021, Kaohsiung, Taiwan, July 20-22, 2021, Proceedings (Paperback, 1st ed. 2021)
Lorna Uden, I-Hsien Ting, Kai Wang
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R1,616
Discovery Miles 16 160
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Ships in 10 - 15 working days
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This book contains the refereed proceedings of the 15th
International Conference on Knowledge Management in Organizations,
KMO 2021, held in Kaohsiung, Taiwan, in July 2021. The 28 full
papers and 9 short papers accepted for KMO 2021 were selected from
86 submissions and are organized in topical sections on: knowledge
management models and analysis; knowledge transfer and learning;
knowledge and service innovation; knowledge and organization;
information systems and information science; privacy and security;
intelligent science and data mining; AI and new trends in IT.
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Multidisciplinary Social Networks Research - 6th International Conference, MISNC 2019, Wenzhou, China, August 26-28, 2019, Revised Selected Papers (Paperback, 1st ed. 2019)
Jerry Chun-Wei Lin, I-Hsien Ting, Tiffany Tang, Kai Wang
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 6th
International Conference on Multidisciplinary Social Networks
Research, MISNC 2019, held in Wenzhou, China, in August 2019. The
15 full papers presented were carefully reviewed and selected from
37 submissions. The papers deal with the following topics: social
network, social network analysis, data engineering, data mining,
user behavior.
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Multidisciplinary Social Networks Research - Second International Conference, MISNC 2015, Matsuyama, Japan, September 1-3, 2015. Proceedings (Paperback, 1st ed. 2015)
Leon Wang, Shiro Uesugi, I-Hsien Ting, Koji Okuhara, Kai Wang
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R3,359
Discovery Miles 33 590
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Second
International Multidisciplinary Social Networks Conference, MISNC
2015, held in Matsuyama, Japan, in September 2015. The 49 full
papers presented were carefully reviewed and selected from 125
submissions. The papers deal with the following topics:
multidisciplinary research on social networks; ethical issues
related to SNS; information technology and social networks mining.
Social network analysis dates back to the early 20th century, with
initial studies focusing on small group behavior from a
sociological perspective. The emergence of the Internet and
subsequent increase in the use of online social networking
applications has caused a shift in the approach to this field.
Faced with complex, large datasets, researchers need new methods
and tools for collecting, processing, and mining social network
data. Social Network Mining, Analysis and Research Trends:
Techniques and Applications covers current research trends in the
area of social networks analysis and mining. Containing research
from experts in the social network analysis and mining communities,
as well as practitioners from social science, business, and
computer science, this book proposes new measures, methods, and
techniques in social networks analysis and also presents
applications and case studies in this changing field.
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