Digital Libraries at Times of Massive Societal Transition: 22nd International Conference on Asia-Pacific Digital Libraries, Icadl 2020, Kyoto, Japan,, Ishita Emi, Pang Natalie Lee San, Zhou Lihong
Описание: The evolution of digital media has enhanced global perspectives in all facets of communication, greatly increasing the range, scope, and accessibility of shared information. Due to the tremendously broad-reaching influence of digital media, its impact on learning, behavior, and social interaction has become a widely discussed topic of study, synthesizing the research of academic scholars, community educators, and developers of civic programs. The Handbook of Research on the Societal Impact of Digital Media is an authoritative reference source for recent developments in the dynamic field of digital media. This timely publication provides an overview of technological developments in digital media and their myriad applications to literacy, education, and social settings. With its extensive coverage of issues related to digital media use, this handbook is an essential aid for students, instructors, school administrators, and education policymakers who hope to increase and optimize classroom incorporation of digital media. This innovative publication features current empirical studies and theoretical frameworks addressing a variety of topics including chapters on instant messaging, podcasts, video sharing, cell phone and tablet applications, e-discussion lists, e-zines, e-books, e-textiles, virtual worlds, social networking, cyberbullying, and the ethical issues associated with these new technologies.
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In The Digital Frontier, experienced executive and distinguished author Ajay Sohoni delivers a relatable and readable reference for corporate executives who need the knowledge and confidence to build lasting digital change within their enterprise. From marketing to commercial, supply chain, and finance, the book offers actionable insights in an accessible format, full of anecdotes, humor, and case examples. You'll learn which areas to focus on and which not to worry about as you craft your own custom transformation journey. In the book, you'll also find:
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Описание: The conference was planned to take place in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic.From a total of 6326 submissions, a total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings before the conference took place.
Описание: Open access to information resources and technology can have a profound impact on the economic development of a region as well as society in general. In recent years, reaction against proprietary knowledge and technology has led to tremendous debate both in academic and professional circles.Societal Benefits of Freely Accessible Technologies and Knowledge Resources analyzes current perspectives on the advantages of unrestricted access to information resources and technology intended to advance the prospect for knowledge, innovation, and development across the globe. Touching on topics of relevance to the private and public sectors, this publication is ideally designed for use by policy makers, business managers, academicians, researchers, students, IT practitioners, and legal professionals.
Автор: Chao Zhang, Jiawei Han Название: Multidimensional Mining of Massive Text Data ISBN: 1681735210 ISBN-13(EAN): 9781681735214 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14692.00 р. Наличие на складе: Нет в наличии.
Описание: Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many emerging applications, people's information need from text data is becoming multidimensional—they demand useful insights along multiple aspects from a text corpus. However, acquiring such multidimensional knowledge from massive text data remains a challenging task. This book presents data mining techniques that turn unstructured text data into multidimensional knowledge. We investigate two core questions. (1) How does one identify task-relevant text data with declarative queries in multiple dimensions? (2) How does one distill knowledge from text data in a multidimensional space? To address the above questions, we develop a text cube framework. First, we develop a cube construction module that organizes unstructured data into a cube structure, by discovering latent multidimensional and multi-granular structure from the unstructured text corpus and allocating documents into the structure. Second, we develop a cube exploitation module that models multiple dimensions in the cube space, thereby distilling from user-selected data multidimensional knowledge. Together, these two modules constitute an integrated pipeline: leveraging the cube structure, users can perform multidimensional, multigranular data selection with declarative queries; and with cube exploitation algorithms, users can extract multidimensional patterns from the selected data for decision making. The proposed framework has two distinctive advantages when turning text data into multidimensional knowledge: flexibility and label-efficiency. First, it enables acquiring multidimensional knowledge flexibly, as the cube structure allows users to easily identify task-relevant data along multiple dimensions at varied granularities and further distill multidimensional knowledge. Second, the algorithms for cube construction and exploitation require little supervision; this makes the framework appealing for many applications where labeled data are expensive to obtain.
Описание: This book constitutes the proceedings of the 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, held in Lyon, France, in August 2020.*The 14 full papers and 4 short papers presented were carefully reviewed and selected from 53 submissions.
Описание: This book constitutes the thoroughly refereed proceedings of the 16th Italian Research Conference on Digital Libraries, IRCDL 2020, held in Bari, Italy, in January 2020. The 12 full papers and 6 short papers presented were carefully selected from 26 submissions.
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