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Web and Big Data, Jie Shao; Man Lung Yiu; Masashi Toyoda; Dongxiang


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Автор: Jie Shao; Man Lung Yiu; Masashi Toyoda; Dongxiang
Название:  Web and Big Data
ISBN: 9783030260743
Издательство: Springer
Классификация:






ISBN-10: 3030260747
Обложка/Формат: Soft cover
Страницы: 431
Вес: 0.69 кг.
Дата издания: 2019
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 115 illustrations, color; 42 illustrations, black and white; xix, 431 p. 157 illus., 115 illus. in color.
Размер: 234 x 156 x 23
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1–3, 2019, Proceedings, Part II
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.


Web and Big Data

Автор: Shaoxu Song; Matthias Renz; Yang-Sae Moon
Название: Web and Big Data
ISBN: 3319697803 ISBN-13(EAN): 9783319697802
Издательство: Springer
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Цена: 6707.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the First APWeb-WAIM 2017 Workshops, held jointly with the First International Joint Conference APWeb-WAIM 2017, held in Beijing, China, in July 2017.

Web Microanalysis of Big Image Data

Автор: Peter Bajcsy; Joe Chalfoun; Mylene Simon
Название: Web Microanalysis of Big Image Data
ISBN: 3319633597 ISBN-13(EAN): 9783319633596
Издательство: Springer
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Цена: 12196.00 р.
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Описание:

Table of Contents. 1

Preface

1 Introduction. 1

1.1 What is image processing pipeline?. 1

1.2 What does web image processing pipeline consist of?. 3

1.3 What are big data microscopy experiments?. 4

1.4 Why are scientists interested in big data microscopy experiments?. 6

1.5 What is the range of applications leveraging image processing pipelines?. 9

1.6 Challenges of big data microscopy experiments. 10

1.7 Tradeoffs before and after digital images are acquired. 12

1.8 Enabling reproducible science from big data microscopy experiments. 14

2 Using Web Image Processing Pipeline for Big Data Microscopy Experiments. 1

2.1 Deploying and Testing the Web Image Processing Pipeline. 2

2.1.1 Types of deployment 4

2.1.2 Deployment of Docker Containers. 6

2.1.3 Deployment recommendations. 7

2.1.4 Test data and computational benchmarks. 8

2.2 Web Image Processing. 10

2.2.1 WIP processing functionality. 10

2.2.2 Examples of WIP usage. 12

2.3 Web Feature Extraction. 15

2.3.1 WFE processing functionality. 17

2.3.2 WFE usage. 19

2.4 Web Statistical Modeling. 21

2.4.1 WSM processing functionality. 23

2.4.2 WSM use case. 24

2.5 Summary. 25

3 Example Use Cases 1

3.1 Cell count and single cell detection. 1

3.1.1 Image processing pipeline. 2

3.1.2 Create a new image collection. 3

3.1.3 Stitching of image tiles. 4

3.1.4 Intensity scaling and pyramid building. 5

3.1.5 Image assembling. 6

3.1.6 Segmentation. 7

3.1.7 Binary image labeling. 8

3.1.8 Feature extraction and single cell detection. 8

3.1.9 Discussion. 9

3.2 Stem cell colony growth computation. 10

3.2.1 Image processing pipeline. 11

3.2.2 Colony tracking and feature extraction

3.2.3 Discussion. 13

3.3 Summary. 15

4 Building Web Image Processing Pipeline for Big Images. 1

4.1 Mapping functionality to information technologies. 1

4.2 The role of each technology in the client-server architecture. 5

4.3 &nbs

The Semantic Web: Semantics and Big Data

Автор: Philipp Cimiano; Oscar Corcho; Valentina Presutti;
Название: The Semantic Web: Semantics and Big Data
ISBN: 3642382878 ISBN-13(EAN): 9783642382871
Издательство: Springer
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Цена: 6097.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th Extended Semantic Web Conference, ESWC 2013, held in Montpellier, France, in May 2013. mobile Web, sensors and semantic streams; social Web and Web science; cognition and semantic Web; The book also includes 17 PhD papers presented at the PhD Symposium.

Web and Big Data

Автор: Cai
Название: Web and Big Data
ISBN: 3319968890 ISBN-13(EAN): 9783319968896
Издательство: Springer
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Цена: 6097.00 р.
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Описание:

This two-volume set, LNCS 10987 and 10988, constitutes the thoroughly refereed proceedings of the Second International Joint Conference, APWeb-WAIM 2018, held in Macau, China in July 2018.
The 40 full papers presented together with 30 short papers, 6 demonstration papers and 3 keynotes were carefully reviewed and selected from 168 submissions. The papers are organized around the following topics: Text Analysis, Social Networks, Recommender Systems, Information Retrieval, Machine Learning, Knowledge Graph, Database and Web Applications, Data Streams, Data Minging and Application, Query Processing, Big Data and Blockchain.

Web and Big Data

Автор: Cai
Название: Web and Big Data
ISBN: 3319968920 ISBN-13(EAN): 9783319968926
Издательство: Springer
Рейтинг:
Цена: 6097.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This two-volume set, LNCS 10987 and 10988, constitutes the thoroughly refereed proceedings of the Second International Joint Conference, APWeb-WAIM 2018, held in Macau, China in July 2018.
The 40 full papers presented together with 30 short papers, 6 demonstration papers and 3 keynotes were carefully reviewed and selected from 168 submissions. The papers are organized around the following topics: Text Analysis, Social Networks, Recommender Systems, Information Retrieval, Machine Learning, Knowledge Graph, Database and Web Applications, Data Streams, Data Minging and Application, Query Processing, Big Data and Blockchain.

Web Microanalysis of Big Image Data

Автор: Peter Bajcsy; Joe Chalfoun; Mylene Simon
Название: Web Microanalysis of Big Image Data
ISBN: 3319875337 ISBN-13(EAN): 9783319875330
Издательство: Springer
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Цена: 10610.00 р.
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Описание: This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to demonstrate how information processing of repetitive, laborious and tedious analysis can be automated with a user-friendly system. Interactions of web system components and their impact on computational scalability, provenance information gathering, interactive display, and computing are explained in a top-down presentation of technical details. Web Microanalysis of Big Image Data includes descriptions of WIPP functionalities, use cases, and components of the web software system (web server and client architecture, algorithms, and hardware-software dependencies).The book comes with test image collections and a web software system to increase the reader's understanding and to provide practical tools for conducting big image experiments.By providing educational materials and software tools at the intersection of microscopy image analyses and computational science, graduate students, postdoctoral students, and scientists will benefit from the practical experiences, as well as theoretical insights. Furthermore, the book provides software and test data, empowering students and scientists with tools to make discoveries with higher statistical significance. Once they become familiar with the web image processing components, they can extend and re-purpose the existing software to new types of analyses.Each chapter follows a top-down presentation, starting with a short introduction and a classification of related methods. Next, a description of the specific method used in accompanying software is presented. For several topics, examples of how the specific method is applied to a dataset (parameters, RAM requirements, CPU efficiency) are shown. Some tips are provided as practical suggestions to improve accuracy or computational performance.

Web and Big Data

Автор: Leong Hou U; Haoran Xie
Название: Web and Big Data
ISBN: 3030012972 ISBN-13(EAN): 9783030012977
Издательство: Springer
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Цена: 8049.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the First APWeb-WAIM 2018 Workshops, held jointly with the Second International Joint Conference APWeb-WAIM 2018 in Macau, China, in July 2018. The 31 full papers presented were carefully reviewed and selected from 44 submissions. The papers originating from five workshops present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of web data management with the focus on mobile web data analytics; knowledge graph management and analysis; data management and mining on MOOCs; Big data analytics for healthcare; data science.

Web and Big Data

Автор: Jie Shao; Man Lung Yiu; Masashi Toyoda; Dongxiang
Название: Web and Big Data
ISBN: 3030260712 ISBN-13(EAN): 9783030260712
Издательство: Springer
Рейтинг:
Цена: 9024.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Web and Big Data

Автор: Jingkuan Song; Xiaofeng Zhu
Название: Web and Big Data
ISBN: 3030339815 ISBN-13(EAN): 9783030339814
Издательство: Springer
Рейтинг:
Цена: 6097.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Third APWeb-WAIM 2019 Workshops, held jointly with the Third International Joint Conference APWeb-WAIM 2019 in Macau, China, in August 2019.The 8 full papers presented together with 1 invited talk were carefully reviewed and selected from 18 submissions. The papers originating from two workshops, KGMA and DSEA, present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of the management, analysis, and application of knowledge graphs in different domains, as well as theoretical foundations, algorithms, systems, models and applications for big data management and mining.

Data Mining: The Textbook

Автор: С.Aggarwal
Название: Data Mining: The Textbook
ISBN: 3319141414 ISBN-13(EAN): 9783319141411
Издательство: Springer
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Цена: 8537.00 р.
Наличие на складе: Нет в наличии.

Описание: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.

Big Data Analytics for Sensor-Network Collected Intelligence

Автор: Hsu, Hui-Huang
Название: Big Data Analytics for Sensor-Network Collected Intelligence
ISBN: 0128093935 ISBN-13(EAN): 9780128093931
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.

It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.

In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS


  • Contains contributions from noted scholars in computer science and electrical engineering from around the globe
  • Provides a broad overview of recent developments in sensor collected intelligence
  • Edited by a team comprised of leading thinkers in big data analytics
New Directions in Web Data Management 1

Автор: Athena Vakali; Lakhmi C Jain
Название: New Directions in Web Data Management 1
ISBN: 3642266908 ISBN-13(EAN): 9783642266904
Издательство: Springer
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Цена: 26711.00 р.
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Описание: This volume addresses the major issues in Web data management related to technologies and infrastructures, methodologies and techniques as well as applications and implementations. Emphasis is placed on Web engineering and technologies, Web graph managing, searching and querying.


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