Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics, Chakraborty Chinmay, Ghosh Uttam, Ravi Vinayakumar

Автор: Leskovec Jure
Название: Mining of Massive Datasets
ISBN: 1108476341 ISBN-13(EAN): 9781108476348
Издательство: Cambridge Academ
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Цена: 71810.00 T
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Описание: Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

Автор: Robert B. Fisher; Yun-Heh Chen-Burger; Daniela Gio
Название: Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
ISBN: 331930206X ISBN-13(EAN): 9783319302065
Издательство: Springer
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Цена: 113190.00 T
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Описание: This bookgives a start-to-finish overview of the whole Fish4Knowledge project, in 18short chapters, each describing one aspect of the project.

Автор: Jialu Liu, Jingbo Shang, Jiawei Han
Название: Phrase Mining from Massive Text and Its Applications
ISBN: 1627058982 ISBN-13(EAN): 9781627058988
Издательство: Mare Nostrum (Eurospan)
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Цена: 41580.00 T
Наличие на складе: Невозможна поставка.
Описание: Investigates one promising paradigm for representing unstructured text, that is, through automatically identifying high-quality phrases from innumerable documents. This volume proposes new principles and powerful methodologies, from the scenario where a user can provide meaningful guidance to a fully automated setting through distant learning.

Автор: Wang, Li & Perrizo
Название: Big Data Analytics In Bioinformatics And Healthcare
ISBN: 1466666110 ISBN-13(EAN): 9781466666115
Издательство: Mare Nostrum (Eurospan)
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Цена: 247630.00 T
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Описание: As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information.Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Автор: Chintan Bhatt; Nilanjan Dey; Amira S. Ashour
Название: Internet of Things and Big Data Technologies for Next Generation Healthcare
ISBN: 3319497359 ISBN-13(EAN): 9783319497358
Издательство: Springer
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Цена: 139750.00 T
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Описание: Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.

Автор: Xiaoming Chen
Название: Massive Access for Cellular Internet of Things Theory and Technique
ISBN: 9811365962 ISBN-13(EAN): 9789811365966
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Поставка под заказ.
Описание: This book focuses on massive access to the cellular internet of things (IoT). Both theory and technique are addressed, with more weight placed on the latter. This is achieved by providing in-depth studies on a number of central topics such as channel state information acquisition, user clustering, superposition coding, and successive interference cancellation. Four typical application scenarios are examined in detail, namely the stationary IoT device scenario, frequency division duplex-based low-mobility IoT device scenario, time-division duplex-based IoT device scenario, and high-mobility IoT device scenario. The comprehensive and systematic treatment of key techniques in massive access to the cellular IoT is one of the major features of the book, which is particularly suited for readers who are interested in finding practical solutions for the cellular IoT. As such, it will benefit researchers, engineers, and graduate students in the fields of information engineering, telecommunications engineering, computer engineering, etc.

Автор: Crickard Paul
Название: Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
ISBN: 183921418X ISBN-13(EAN): 9781839214189
Издательство: Неизвестно
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Цена: 63750.00 T
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Описание: Racism and white supremacy have survived in the United States for a very long time because from the onset, it was based on sound `engineering.` The book contends that racism is not a belief, practice, or ideology that flared up by accident or through the spur of the moment. Rather, it followed sound engineering stages like planning, design, and construction. Racism was designed to serve a domineering purpose for white people and, therefore, there was a lot of planning that eventually led to its design and construction. Because the architects had a vision of its permanency, they chose the most durable materials for its construction. Metaphorically, they used mortar, bricks, and steel beams. These durable materials, among others, include religion, science, government (including the Supreme Court), the constitution and laws, brutality, and social media. As the centuries rolled by, succeeding architects of this design and construction have done a superb job in maintenance and modifications to elude stumbling blocks. Based on the times and prevailing winds, the racism construct has undergone mutations to evade capture and destruction - even to this day. Like a car, the engineering and engineers have evolved, the models and make are changing, but the underlying engineering remains intact. Today, the overt, brash, and brutal racism has generally ceded to an equally destructive, calculated, politically-correct, less pompous, highly sophisticated, and veiled racism. The book dissects this durable foundational construct and proffers recommendations that will systematically minimize its intensity.

Автор: Zhang Chao, Han Jiawei
Название: Multidimensional Mining of Massive Text Data
ISBN: 1681735199 ISBN-13(EAN): 9781681735191
Издательство: Mare Nostrum (Eurospan)
Цена: 77610.00 T
Наличие на складе: Невозможна поставка.
Описание:

Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many emerging applications, people's information need from text data is becoming multidimensional-they demand useful insights along multiple aspects from a text corpus. However, acquiring such multidimensional knowledge from massive text data remains a challenging task.

Автор: Fisher Robert B., Chen-Burger Yun-Heh, Giordano Daniela
Название: Fish4knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
ISBN: 3319807501 ISBN-13(EAN): 9783319807508
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.

Автор: Mahalle Parikshit N., Sonawane Sheetal S.
Название: Foundations of Data Science Based Healthcare Internet of Things
ISBN: 9813364599 ISBN-13(EAN): 9789813364592
Издательство: Springer
Цена: 55890.00 T
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Описание: This book offers a basic understanding of the Internet of Things (IoT), its design issues and challenges for healthcare applications. It also provides details of the challenges of healthcare big data, role of big data in healthcare and techniques, and tools for IoT in healthcare.

Автор: Chao Zhang, Jiawei Han
Название: Multidimensional Mining of Massive Text Data
ISBN: 1681735210 ISBN-13(EAN): 9781681735214
Издательство: Mare Nostrum (Eurospan)
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Цена: 97950.00 T
Наличие на складе: Нет в наличии.
Описание: Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many emerging applications, people's information need from text data is becoming multidimensional—they demand useful insights along multiple aspects from a text corpus. However, acquiring such multidimensional knowledge from massive text data remains a challenging task. This book presents data mining techniques that turn unstructured text data into multidimensional knowledge. We investigate two core questions. (1) How does one identify task-relevant text data with declarative queries in multiple dimensions? (2) How does one distill knowledge from text data in a multidimensional space? To address the above questions, we develop a text cube framework. First, we develop a cube construction module that organizes unstructured data into a cube structure, by discovering latent multidimensional and multi-granular structure from the unstructured text corpus and allocating documents into the structure. Second, we develop a cube exploitation module that models multiple dimensions in the cube space, thereby distilling from user-selected data multidimensional knowledge. Together, these two modules constitute an integrated pipeline: leveraging the cube structure, users can perform multidimensional, multigranular data selection with declarative queries; and with cube exploitation algorithms, users can extract multidimensional patterns from the selected data for decision making. The proposed framework has two distinctive advantages when turning text data into multidimensional knowledge: flexibility and label-efficiency. First, it enables acquiring multidimensional knowledge flexibly, as the cube structure allows users to easily identify task-relevant data along multiple dimensions at varied granularities and further distill multidimensional knowledge. Second, the algorithms for cube construction and exploitation require little supervision; this makes the framework appealing for many applications where labeled data are expensive to obtain.

Автор: Aboul Ella Hassanien
Название: Cognitive Internet of Medical Things for Smart Healthcare
ISBN: 3030558320 ISBN-13(EAN): 9783030558321
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.