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Data Intensive Computing for Biodiversity

This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and;

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Handbook of Data Intensive Computing

suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability;

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Data Intensive Distributed Computing

Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management focuses on the challenges;

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Intelligent Agents in Data-intensive Computing

for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi;

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Intelligent Agents in Data-intensive Computing

for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi;

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Data-Intensive Computing

characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such;

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Data-Intensive Computing in Smart Microgrids

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Intelligent Data Communication Technologies and Internet of Things

This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application;

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Cloud Computing

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis;

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Cloud Computing

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis;

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Non-volatile In-memory Computing by Spintronics

magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented;

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Non-Volatile In-Memory Computing by Spintronics

magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented;

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Data Analytics and Management in Data Intensive Domains

extraction from text; distributed computing; data science for education.;

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Data Analysis in the Cloud

NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book;

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The Fourth Paradigm

computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully;

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Soft Computing

computing algorithms and fuzzy information processing models by developing a library of universal analytic models for fuzzy arithmetic operations;

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Mastering Cloud Computing

Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications;

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Data Placement in Distributed Systems

requirements. Increasing data requirements and the distributed nature of the resources made I/O the major bottleneck for end-to-end application;

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Computational Social Science

summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.;

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Data Mining for Global Trends in Mountain Biodiversity

in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva;

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Data Mining for Global Trends in Mountain Biodiversity

in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva;

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Distributed Computing with Python

Book Is For This book is for Python developers who have developed Python programs for data processing and now want to learn how to write;

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ReRAM-based Machine Learning

such large amounts of data sets has led to the adoption of machine learning (ML) and deep learning (DL) methods in a wide range of applications;

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High-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 High-Performance Modelling and Simulation for Big Data;

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Biodiversity Databases

to provide better access to all available biodiversity information. The chapters make the case for the need for representation of concepts;

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Advances in Ubiquitous Computing

over large areas and for prolonged periods of time requires immediate data storage and processing, reliable networking, and solid communication;

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Big Data Technologies and Applications

fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety;

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