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Data-Centric Biology

methods to produce, store, distribute, and interpret huge amounts of data. In Data-Centric Biology, Sabina Leonelli probes the implications;

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Storage and Retrieval of Xml Documents with a Cluster of Database Systems

been on data-centric settings, i.e., XML documents with strict and regular structure. However, this disregards many important settings that;

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Security and Resilience in Intelligent Data-Centric Systems and Communication Networks

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks presents current, state-of-the-art work on novel;

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Data-Centric Erm

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Data-Centric Erm

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Applications of Data Centric Science to Social Design

The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact;

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Data-Centric Safety

Data-Centric Safety presents core concepts and principles of system safety management, and then guides the reader through the application;

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Application of Omics, AI and Blockchain in Bioinformatics Research

data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly;

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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud;

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Cognitive Sensors and IoT

of cognitive nodes, capable of knowledge representation, learning, and reasoning, along with an information-centric approach for data delivery. It also;

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Cognitive Sensors and IoT

of cognitive nodes, capable of knowledge representation, learning, and reasoning, along with an information-centric approach for data delivery. It also;

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Urban Computing

concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field;

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Applied Data Centric Social Sciences

Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and;

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People Centric Security

A Complete People-Centric Information Security Culture Toolkit Minimize risk, protect corporate assets, and avoid catastrophic;

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Enterprise Process Management Systems

replace the traditional data-centric paradigm for Enterprise Systems (ES)--ES should be reengineered from the present data-centric enterprise;

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Data and Data Handling for AS Level Biology

Under the new assessment scheme for A Level Biology, a much larger proportion of marks are allocated to the skills of data interpretation;

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Data-Centric Business and Applications

This book explores various aspects of software creation and development as well as data and information processing. It covers relevant;

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Customer-Centric Marketing

State-of-the-art analytic and quantitative methods for using big data to craft effective real-time, dynamic customer-centric marketing;

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Data Science and Analytics

submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web;

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Asking Questions In Biology

Asking Questions in Biology is all about scientific discovery. Biology students must be able to analyse data and produce high quality;

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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation;

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Innovative Approaches in Drug Discovery

illustrate the benefits of systems biology and pharmacogenomics approaches, and advocate the expansion from disease-centric discovery to person;

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General Biology

The meaning of biology is, The science of life , which is derived from the Greek word bios (life), and logos (knowledge). So, Biology;

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Data Science and Analytics

carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next;

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Data Science and Analytics

were carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next;

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