Reuse In The Big Data Era

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Reuse In The Big Data Era

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Author : Xin Peng
language : en
Publisher: Springer
Release Date : 2019-06-18

Reuse In The Big Data Era written by Xin Peng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-18 with Computers categories.

This book constitutes the proceedings of the 18th International Conference on Software and Systems Reuse, ICSR 2019, held in Cincinnati, Ohio, USA in June 2019. The 13 research papers included in this book were carefully reviewed and selected from 32 submissions. In addition, 3 industry innovation papers are included. The papers were organized in topical sections named: software reuse practice; software product line and requirements reuse; reuse and design and evolution; intelligent software reuse; and domain-specific software development.

Strategic Data Based Wisdom In The Big Data Era

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Author : Girard, John
language : en
Publisher: IGI Global
Release Date : 2015-02-28

Strategic Data Based Wisdom In The Big Data Era written by Girard, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-28 with Business & Economics categories.

The ability to uncover, share, and utilize knowledge is one of the most vital components to the success of any organization. While new technologies and techniques of knowledge dissemination are promising, there is still a struggle to derive and circulate meaningful information from large data sets. Strategic Data-Based Wisdom in the Big Data Era combines the latest empirical research findings, best practices, and applicable theoretical frameworks surrounding data analytics and knowledge acquisition. Providing a multi-disciplinary perspective of the subject area, this book is an essential reference source for professionals and researchers working in the field of knowledge management who would like to improve their understanding of the strategic role of data-based wisdom in different types of work communities and environments.

Requirements Engineering In The Big Data Era

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Author : Lin Liu
language : en
Publisher: Springer
Release Date : 2015-10-25

Requirements Engineering In The Big Data Era written by Lin Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-25 with Computers categories.

This book constitutes the proceedings of the second Asia Pacific Requirements Engineering Symposium, APRES 2015, held in Wuhan, China, in October 2015. The 9 full papers presented together with 3 tool demos papers and one short paper, were carefully reviewed and selected from 18 submissions. The papers deal with various aspects of requirements engineering in the big data era, such as automated requirements analysis, requirements acquisition via crowdsourcing, requirement processes and specifications, requirements engineering tools.requirements engineering in the big data era, such as automated requirements analysis, requirements acquisition via crowdsourcing, requirement processes and specifications, requirements engineering tools.

Artificial Intelligence For Fashion Industry In The Big Data Era

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Author : Sébastien Thomassey
language : en
Publisher: Springer
Release Date : 2018-05-16

Artificial Intelligence For Fashion Industry In The Big Data Era written by Sébastien Thomassey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-16 with Business & Economics categories.

This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application

Oecd Digital Government Studies Open Government Data Review Of Mexico Data Reuse For Public Sector Impact And Innovation

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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2016-06-22

Oecd Digital Government Studies Open Government Data Review Of Mexico Data Reuse For Public Sector Impact And Innovation written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-22 with categories.

This report provides an analysis of Mexico’s open government data (OGD) policies as well as recommendations for achieving its national objectives and making the most of OGD.

Cutting Edge Business Technologies In The Big Data Era

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Author : Saad G. Yaseen
language : en
Publisher: Springer Nature
Release Date : 2023-08-26

Cutting Edge Business Technologies In The Big Data Era written by Saad G. Yaseen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-26 with Computers categories.

This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?

Engineering The Web In The Big Data Era

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Author : Philipp Cimiano
language : en
Publisher: Springer
Release Date : 2015-06-09

Engineering The Web In The Big Data Era written by Philipp Cimiano and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-09 with Computers categories.

This book constitutes the refereed proceedings of the 15th International Conference on Web Engineering, ICWE 2015, held in Rotterdam, The Netherlands, in June 2015. The 26 full research papers, 11 short papers, 7 industry papers, 11 demonstrations, 6 posters and 4 contributions to the PhD symposium presented were carefully reviewed and selected from 100 submissions. Moreover 2 tutorials are presented. The papers focus on eight tracks, namely Web application modeling and engineering; mobile Web applications; social Web applications; semantic Web applications; quality and accessibility aspects of Web applications; Web applications composition and mashups; Web user interfaces; security and privacy in Web applications.

People Analytics In The Era Of Big Data

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Author : Jean Paul Isson
language : en
Publisher: John Wiley & Sons
Release Date : 2016-04-21

People Analytics In The Era Of Big Data written by Jean Paul Isson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-21 with Business & Economics categories.

Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.

Metadata And Semantic Research

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Author : Emmanouel Garoufallou
language : en
Publisher: Springer Nature
Release Date : 2023-08-09

Metadata And Semantic Research written by Emmanouel Garoufallou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-09 with Computers categories.

This book constitutes the refereed post proceedings of the 16th Research Conference on Metadata and Semantic Research, MTSR 2022, held in London, UK, during November 7–11, 2022. The 21 full papers and 4 short papers included in this book were carefully reviewed andselected from 79 submissions. They were organized in topical sections as follows: metadata, linked data, semantics and ontologies - general session, and track on Knowledge IT Artifacts (KITA), Track on digital humanities and digital curation, and track on cultural collections and applications, track on digital libraries, information retrieval, big, linked, social & open data, and metadata, linked data, semantics and ontologies - general session, track on agriculture, food & environment, and metadata, linked Data, semantics and ontologies - general, track on open repositories, research information systems & data infrastructures, and metadata, linked data, semantics and ontologies - general, metadata, linked data, semantics and ontologies - general session, and track on european and national projects.

Managing Software Supply Chains

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Author : Ying Wang
language : en
Publisher: Springer Nature
Release Date : 2025-02-26

Managing Software Supply Chains written by Ying Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.

Open-source software supply chains wield significant influence in the software industry, drawing substantial interest from enterprises, researchers, and policymakers. Leveraging third-party libraries to build software applications is a common practice aimed at cost savings and software quality enhancement. However, heavy reliance on external libraries often leads to a state of “dependency hell”, marked by issues like incompatibilities, conflicting versions, bloated dependencies, and the inclusion of vulnerable library versions. Despite extensive research on software dependency management and the evolution of software supply chains, questions linger regarding the variances in dependency challenges across programming language ecosystems and how best to address the dependency hell phenomenon from an ecosystem-wide perspective. The aim of this book is to offer: (1) a comprehensive literature review on software supply chains, (2) discussions on modeling software supply chains and analyzing their evolutionary behaviors, (3) ecosystem-level strategies for diagnosing various dependency issues and automating problem resolution with cost-benefit analysis, and (4) provision of a toolkit and datasets to support future research and assist practitioners in addressing the challenges of dependency management. The methodologies outlined in this book have been previously presented in top-tier conferences and journals, with some techniques officially integrated into products by Microsoft Corporation and Huawei Technologies Co Ltd. This book is designed to provide readers with a solid understanding of software supply chain fundamentals and practical guidance on implementing theory and techniques in real-world industrial settings. The book is chiefly intended for software engineering researchers and students with an academic background who are interested in learning about dependency management for third-party libraries, quality assurance for software supply chains, and the evolution of open-source software ecosystems. It will also be of interest to practitioners, including software engineers, quality assurance professionals, and software managers, as well as general readers. All will benefit from our systematic studies on the dependency hell phenomenon in various programming language communities and valuable associated artifacts.