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Composite materials are engineered from two or more constituents
with significantly altered physical or chemical properties within
the finished structure. Due to their special mechanical and
physical properties they have the potential to replace conventional
materials. This book, written by experts from all over the world,
presents fundamentals and recent advances on ceramic matrix
composites.
The most recent developments in spatial data management are
reported in these proceedings. SSD '89 brought together computer
scientists and experts from application areas such as geography,
computer vision, robotics, computer-aided manufacturing, and
environmental information systems. This proceedings volume includes
subjects such as extensible database systems, spatial data
structures an index structures, spatial reasoning, geographic
information systems, quadtrees, and thematic map modeling.
This book provides with its readers an objective overview of the
latest development of China’s special economic zones in 2019. It
aims to inform researchers what achievements have been
attained in one year and tells stories to general readers
about how to address economic concerns through public policies. Its
case studies illustrate economic achievements attained in public
health, social security, and cultural industries. Its in-depth
analyses of green, environmental-friendly, and resource-efficient
policies can satisfy the curiosity about strategies applied by
China meeting its economic challenges. Â
The development of information technology has made it possible to
collect large amounts of spatial data on a daily basis. It is of
enormous significance when it comes to discovering implicit,
non-trivial and potentially valuable information from this spatial
data. Spatial co-location patterns reveal the distribution rules of
spatial features, which can be valuable for application users. This
book provides commercial software developers with proven and
effective algorithms for detecting and filtering these implicit
patterns, and includes easily implemented pseudocode for all the
algorithms. Furthermore, it offers a basis for further research in
this promising field. Preference-based co-location pattern mining
refers to mining constrained or condensed co-location patterns
instead of mining all prevalent co-location patterns. Based on the
authors' recent research, the book highlights techniques for
solving a range of problems in this context, including maximal
co-location pattern mining, closed co-location pattern mining,
top-k co-location pattern mining, non-redundant co-location pattern
mining, dominant co-location pattern mining, high utility
co-location pattern mining, user-preferred co-location pattern
mining, and similarity measures between spatial co-location
patterns. Presenting a systematic, mathematical study of
preference-based spatial co-location pattern mining, this book can
be used both as a textbook for those new to the topic and as a
reference resource for experienced professionals.
This book provides with its readers an objective overview of the
latest development of China's special economic zones in 2019. It
aims to inform researchers what achievements have been attained in
one year and tells stories to general readers about how to address
economic concerns through public policies. Its case studies
illustrate economic achievements attained in public health, social
security, and cultural industries. Its in-depth analyses of green,
environmental-friendly, and resource-efficient policies can satisfy
the curiosity about strategies applied by China meeting its
economic challenges.
The development of information technology has made it possible to
collect large amounts of spatial data on a daily basis. It is of
enormous significance when it comes to discovering implicit,
non-trivial and potentially valuable information from this spatial
data. Spatial co-location patterns reveal the distribution rules of
spatial features, which can be valuable for application users. This
book provides commercial software developers with proven and
effective algorithms for detecting and filtering these implicit
patterns, and includes easily implemented pseudocode for all the
algorithms. Furthermore, it offers a basis for further research in
this promising field. Preference-based co-location pattern mining
refers to mining constrained or condensed co-location patterns
instead of mining all prevalent co-location patterns. Based on the
authors' recent research, the book highlights techniques for
solving a range of problems in this context, including maximal
co-location pattern mining, closed co-location pattern mining,
top-k co-location pattern mining, non-redundant co-location pattern
mining, dominant co-location pattern mining, high utility
co-location pattern mining, user-preferred co-location pattern
mining, and similarity measures between spatial co-location
patterns. Presenting a systematic, mathematical study of
preference-based spatial co-location pattern mining, this book can
be used both as a textbook for those new to the topic and as a
reference resource for experienced professionals.
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Semantic Technology - 6th Joint International Conference, JIST 2016, Singapore, Singapore, November 2-4, 2016, Revised Selected Papers (Paperback, 1st ed. 2016)
Yuan-Fang Li, Wei Hu, Jin Song Dong, Grigoris Antoniou, Zhe Wang, …
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R2,591
Discovery Miles 25 910
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed proceedings of the
6th Joint International Semantic Technology Conference, JIST 2016,
held in Singapore, Singapore, in November 2016. The main topics of
JIST 2016 include among others ontology and reasoning; linked data;
knowledge graph. The JIST 2016 conference consists of two keynotes,
a main technical track, including (full and short papers) from the
research and the in-use tracks, a Poster and Demo session, a
workshop and two tutorials. The 16 full and 8 short papers
presented were carefully reviewed and selected from 34 submissions.
The papers cover the following topics: ontology and data
management; linked data; information retrieval and knowledge
discovery; RDF and query; knowledge graph; application of semantic
technologies.
This books talks about James Clerk Maxwell and Albert Einstein by
author by scrutinizing their letters, autobiography etc, in
sentimental style.
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