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Data Management and Analytics for Medicine and Healthcare

on Very Large Data Bases, VLDB 2016. The 7 revised full papers presented together with 2 invited papers and 3 keynote abstracts were;

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Managing Data From Knowledge Bases

unstructured data processing, data clustering for knowledge extraction. To optimize the queries issued through interfaces against knowledge bases, the;

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Managing Data From Knowledge Bases

unstructured data processing, data clustering for knowledge extraction. To optimize the queries issued through interfaces against knowledge bases, the;

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Using National Data Bases in Educational Research

? * What factors invalidate comparisons of test scores across data bases? * In what ways can data from certain data bases be physically merged;

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Information Modelling and Knowledge Bases XXV

knowledge bases including: theory of concepts, semantic computing, data mining, context-based information retrieval, ontological technology, image;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX

This, the 39th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of seven;

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Exploring Semantic Technologies and Their Application to Nuclear Knowledge Management

introduction to semantic information technologies, the Worldwide Web standards developed for interoperability, the construction of knowledge bases on;

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Fuzzy Knowledge Management for the Semantic Web

, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge bases in fuzzy databases, fuzzy;

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Fuzzy Knowledge Management for the Semantic Web

, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge bases in fuzzy databases, fuzzy;

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Management Information from Data Bases

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Mining Structures of Factual Knowledge from Text

to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and;

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Managing Knowledge Security

protection from employee retention strategies, to physical security and how to deal with crises. The book stresses the importance of taking;

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Heterogeneous Data Management, Polystores, and Analytics for Healthcare

International Conference on Very Large Data Bases, VLDB 2019. The 20 regular papers presented together with 2 keynote papers were carefully;

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Handbook Of Financial Data And Risk Information Ii

in collecting, measuring and managing financial data. It is targeted towards a wide range of audiences, from financial industry practitioners and;

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The Bases of Competence

The Bases of Competence explains what skills and competencies students need to succeed in today's workplace and details how colleges and;

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Artificial Intelligence and Data Mining for Mergers and Acquisitions

framework uses Predicate Calculus Knowledge Bases. Petri Net-based modeling is also discussed. In this context, a Data Mining model is proposed;

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Big Data for Insurance Companies

bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual;

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Opposites attract

in cross-industry innovation. The empirical bases for this research are case data from the Pumps & Pipes association in US and Norway;

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Web Semantics

, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge;

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DAMA-DMBOK

The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective;

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Flexible Query Answering Systems

of big data. They are organized in the following topical sections: flexible database management and querying; ontologies and knowledge bases;

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Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence

; tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, designing and;

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Mining Complex Data

, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g. structuring and organizing) to;

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Mining Complex Data

, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g. structuring and organizing) to;

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Social Big Data Mining

for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental;

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Social Big Data Mining

for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental;

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Data Governance and Compliance

between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the;

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