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Provenance in Data Science

across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This;

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Provenance Data in Social Media

irreversible damages. Provenance data associated with a social media statement can help dispel rumors, clarify opinions, and confirm facts. However;

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Provenance

The World Wide Web is now deeply intertwined with our lives, and has become a catalyst for a data deluge, making vast amounts of data;

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Provenance Data in Social Media

irreversible damages. Provenance data associated with a social media statement can help dispel rumors, clarify opinions, and confirm facts. However;

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Secure Data Provenance and Inference Control with Semantic Web

With an ever-increasing amount of information on the web, it is critical to understand the pedigree, quality, and accuracy of your data;

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Secure Data Provenance and Inference Control with Semantic Web

With an ever-increasing amount of information on the web, it is critical to understand the pedigree, quality, and accuracy of your data;

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Provenance and Annotation of Data and Processes

This book constitutes the refereed proceedings of the 6th International Provenance and Annotation Wo;...

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Building Trust in Information

This book reports on the results of an interdisciplinary and multidisciplinary workshop on provenanc;...

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Provenance and Annotation of Data and Processes

This book constitutes the revised selected papers of the 5th International Provenance and Annotation;...

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Linked Data

This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing;

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Sediment Provenance

data-based case studies on a broad range of dynamic aspects in sedimentary rock structure and deposition. Provenance data plays a critical role;

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Semantic IoT: Theory and Applications

understanding of data that will enable analysis across (systematically growing) ecosystems? (ii) How to build ecosystems based on data flows? (iii) How;

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Guerrilla Analytics

Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The;

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Data Analytics

reviewed and selected from numerous submissions. The papers cover a wide range of topics such as data cleansing, data integration, data wrangling;

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Scientific and Statistical Database Management

demonstration and poster papers were carefully reviewed and selected from numerous submissions. The topics covered are uncertain and probabilistic data;

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Web Age Information Management

from 164 submissions. The focus of the conference is on following topics: advanced database and web applications, big data analytics big data;

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Data Science

From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science;

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Facing Up - Science & Its Cultural Adversaries

In this volume, Steven Weinberg pursues his principal passions, theoretical physics and a deeper und;...

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Data Science

This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney;

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Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary;

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Bioinformatics: Converting Data to Knowledge

of presentations and dialogue. Fifteen experts identified and discussed some of the most important issues raised by the current flood of biologic data;

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Frontiers in Data Science

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the;

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Frontiers in Data Science

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the;

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Essentials of Data Science and Analytics

This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data;

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Principles of Data Science

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces;

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Data Science

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;

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