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Showing 1 - 14 of
14 matches in All Departments
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Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part III (Paperback, 1st ed. 2020)
Yunmook Nah, Bin Cui, Sangwon Lee, Jeffrey Xu Yu, Yang-Sae Moon, …
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R3,125
Discovery Miles 31 250
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Ships in 10 - 15 working days
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The 4 volume set LNCS 12112-12114 constitutes the papers of the
25th International Conference on Database Systems for Advanced
Applications which will be held online in September 2020. The 119
full papers presented together with 19 short papers plus 15 demo
papers and 4 industrial papers in this volume were carefully
reviewed and selected from a total of 487 submissions. The
conference program presents the state-of-the-art R&D activities
in database systems and their applications. It provides a forum for
technical presentations and discussions among database researchers,
developers and users from academia, business and industry.
This book covers the major fundamentals of and the latest research
on next-generation spatio-temporal recommendation systems in social
media. It begins by describing the emerging characteristics of
social media in the era of mobile internet, and explores the
limitations to be found in current recommender techniques. The book
subsequently presents a series of latent-class user models to
simulate users' behaviors in decision-making processes, which
effectively overcome the challenges arising from temporal dynamics
of users' behaviors, user interest drift over geographical regions,
data sparsity and cold start. Based on these well designed user
models, the book develops effective multi-dimensional index
structures such as Metric-Tree, and proposes efficient top-k
retrieval algorithms to accelerate the process of online
recommendation and support real-time recommendation. In addition,
it offers methodologies and techniques for evaluating both the
effectiveness and efficiency of spatio-temporal recommendation
systems in social media. The book will appeal to a broad
readership, from researchers and developers to undergraduate and
graduate students.
This book presents the state of the art in distributed machine
learning algorithms that are based on gradient optimization
methods. In the big data era, large-scale datasets pose enormous
challenges for the existing machine learning systems. As such,
implementing machine learning algorithms in a distributed
environment has become a key technology, and recent research has
shown gradient-based iterative optimization to be an effective
solution. Focusing on methods that can speed up large-scale
gradient optimization through both algorithm optimizations and
careful system implementations, the book introduces three essential
techniques in designing a gradient optimization algorithm to train
a distributed machine learning model: parallel strategy, data
compression and synchronization protocol. Written in a tutorial
style, it covers a range of topics, from fundamental knowledge to a
number of carefully designed algorithms and systems of distributed
machine learning. It will appeal to a broad audience in the field
of machine learning, artificial intelligence, big data and database
management.
This book introduces readers to a workload-aware methodology for
large-scale graph algorithm optimization in graph-computing
systems, and proposes several optimization techniques that can
enable these systems to handle advanced graph algorithms
efficiently. More concretely, it proposes a workload-aware cost
model to guide the development of high-performance algorithms. On
the basis of the cost model, the book subsequently presents a
system-level optimization resulting in a partition-aware
graph-computing engine, PAGE. In addition, it presents three
efficient and scalable advanced graph algorithms - the subgraph
enumeration, cohesive subgraph detection, and graph extraction
algorithms. This book offers a valuable reference guide for junior
researchers, covering the latest advances in large-scale graph
analysis; and for senior researchers, sharing state-of-the-art
solutions based on advanced graph algorithms. In addition, all
readers will find a workload-aware methodology for designing
efficient large-scale graph algorithms.
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Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part II (Paperback, 1st ed. 2020)
Yunmook Nah, Bin Cui, Sangwon Lee, Jeffrey Xu Yu, Yang-Sae Moon, …
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R4,388
Discovery Miles 43 880
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Ships in 10 - 15 working days
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The 4 volume set LNCS 12112-12114 constitutes the papers of the
25th International Conference on Database Systems for Advanced
Applications which will be held online in September 2020. The 119
full papers presented together with 19 short papers plus 15 demo
papers and 4 industrial papers in this volume were carefully
reviewed and selected from a total of 487 submissions. The
conference program presents the state-of-the-art R&D activities
in database systems and their applications. It provides a forum for
technical presentations and discussions among database researchers,
developers and users from academia, business and industry.
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Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part I (Paperback, 1st ed. 2020)
Yunmook Nah, Bin Cui, Sangwon Lee, Jeffrey Xu Yu, Yang-Sae Moon, …
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R3,130
Discovery Miles 31 300
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Ships in 10 - 15 working days
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The 4 volume set LNCS 12112-12114 constitutes the papers of the
25th International Conference on Database Systems for Advanced
Applications which will be held online in September 2020. The 119
full papers presented together with 19 short papers plus 15 demo
papers and 4 industrial papers in this volume were carefully
reviewed and selected from a total of 487 submissions. The
conference program presents the state-of-the-art R&D activities
in database systems and their applications. It provides a forum for
technical presentations and discussions among database researchers,
developers and users from academia, business and industry.
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Web and Big Data - Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part I (Paperback, 1st ed. 2019)
Jie Shao, Man-Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, …
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R2,244
Discovery Miles 22 440
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Ships in 10 - 15 working days
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This two-volume set, LNCS 11641 and 11642, constitutes the
thoroughly refereed proceedings of the Third International Joint
Conference, APWeb-WAIM 2019, held in Chengdu, China, in August
2019. The 42 full papers presented together with 17 short papers,
and 6 demonstration papers were carefully reviewed and selected
from 180 submissions. The papers are organized around the following
topics: Big Data Analytics; Data and Information Quality; Data
Mining and Application; Graph Data and Social Networks; Information
Extraction and Retrieval; Knowledge Graph; Machine Learning;
Recommender Systems; Storage, Indexing and Physical Database
Design; Spatial, Temporal and Multimedia Databases; Text Analysis
and Mining; and Demo.
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Web and Big Data - Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part II (Paperback, 1st ed. 2019)
Jie Shao, Man-Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, …
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R2,243
Discovery Miles 22 430
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Ships in 10 - 15 working days
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This two-volume set, LNCS 11641 and 11642, constitutes the
thoroughly refereed proceedings of the Third International Joint
Conference, APWeb-WAIM 2019, held in Chengdu, China, in August
2019. The 42 full papers presented together with 17 short papers,
and 6 demonstration papers were carefully reviewed and selected
from 180 submissions. The papers are organized around the following
topics: Big Data Analytics; Data and Information Quality; Data
Mining and Application; Graph Data and Social Networks; Information
Extraction and Retrieval; Knowledge Graph; Machine Learning;
Recommender Systems; Storage, Indexing and Physical Database
Design; Spatial, Temporal and Multimedia Databases; Text Analysis
and Mining; and Demo.
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Web-Age Information Management - 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part II (Paperback, 1st ed. 2016)
Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu
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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 two-volume set, LNCS 9658 and 9659, constitutes the thoroughly
refereed proceedings of the 17th International Conference on
Web-Age Information Management, WAIM 2016, held in Nanchang, China,
in June 2016. The 80 full research papers presented together with 8
demonstrations were carefully reviewed and selected from 266
submissions. The focus of the conference is on following topics:
data mining, spatial and temporal databases, recommender systems,
graph data management, information retrieval, privacy and trust,
query processing and optimization, social media, big data
analytics, and distributed and cloud computing.
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Web-Age Information Management - 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part I (Paperback, 1st ed. 2016)
Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu
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R3,235
Discovery Miles 32 350
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Ships in 10 - 15 working days
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This two-volume set, LNCS 9658 and 9659, constitutes the thoroughly
refereed proceedings of the 17th International Conference on
Web-Age Information Management, WAIM 2016, held in Nanchang, China,
in June 2016. The 80 full research papers presented together with 8
demonstrations were carefully reviewed and selected from 266
submissions. The focus of the conference is on following topics:
data mining, spatial and temporal databases, recommender systems,
graph data management, information retrieval, privacy and trust,
query processing and optimization, social media, big data
analytics, and distributed and cloud computing.
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Web Technologies and Applications - 17th Asia-Pacific Web Conference, APWeb 2015, Guangzhou, China, September 18-20, 2015, Proceedings (Paperback, 1st ed. 2015)
Reynold Cheng, Bin Cui, Zhenjie Zhang, Ruichu Cai, Jia Xu
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R1,750
Discovery Miles 17 500
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 17th
Asia-Pacific Conference APWeb 2015 held in Guangzhou, China, in
September 2015. The 67 full papers and presented together with 3
industrial track papers and 7 demonstration track papers were
carefully reviewed and selected from 146 submissions. The papers
cover a wide spectrum of Web-related data management problems, and
provide a thorough view on the rapid advances of technical
solutions.
This book introduces readers to a workload-aware methodology for
large-scale graph algorithm optimization in graph-computing
systems, and proposes several optimization techniques that can
enable these systems to handle advanced graph algorithms
efficiently. More concretely, it proposes a workload-aware cost
model to guide the development of high-performance algorithms. On
the basis of the cost model, the book subsequently presents a
system-level optimization resulting in a partition-aware
graph-computing engine, PAGE. In addition, it presents three
efficient and scalable advanced graph algorithms - the subgraph
enumeration, cohesive subgraph detection, and graph extraction
algorithms. This book offers a valuable reference guide for junior
researchers, covering the latest advances in large-scale graph
analysis; and for senior researchers, sharing state-of-the-art
solutions based on advanced graph algorithms. In addition, all
readers will find a workload-aware methodology for designing
efficient large-scale graph algorithms.
Provides a comprehensive description and analysis into the use of
music information retrieval, from the data management perspective.
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