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COMPUTER NETWORK
  • Language: en
  • Pages: 124

COMPUTER NETWORK

This practical manual has undergone several developments since the first version used in the " Networks" course Computer ". This practical guide has been corrected here and there regarding typos and updated knowledge. In 2016, two new chapters were added that were optional for the final practicum. In 2022 an addition will be made material about network computer . The chapters in this book are divided into two large parts. first part about introduction network computer about switches and parts second about routing.

Building a Data Culture in the Ministry of Finance
  • Language: en
  • Pages: 136

Building a Data Culture in the Ministry of Finance

The book is prepared as a general guide for stakeholders in the Ministry of Finance, especially the leaders, on how to lead their working units to be data-driven. In the Ministry of Finance, the volume of data grows massively. The data grow so rapidly that the Minister of Finance illustrates the condition by stating that “We, at the Ministry of Finance, are actually sitting on a large pile of data. This is a new type of mine. In digital era, the mine refers to the mine of data. However, of course they have to be the data we process and understand.” Ideally, the availability of data will encourage better formulation of policies and decision making. However, such effort is not an easy task...

International Conference Call for Paper Personal Data Protection in Digital Era
  • Language: en
  • Pages: 300

International Conference Call for Paper Personal Data Protection in Digital Era

Protection of privacy information on personal data in Indonesian is still weak. This is suspected from the still abundance of personal data of someone, including for business and political interests. There are still many companies that sell personal data without permission from the subject of data. Misuse of data when it is private that someone's privacy can be obtained by others without the permission of the subject of the data may cause harm to the subject of the data, as also conveyed by Keynote Speaker is Dr. Syahirah Abdul Shukor.

Data Science and Emerging Technologies
  • Language: en
  • Pages: 562

Data Science and Emerging Technologies

The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and ag...

Soft Computing in Data Science
  • Language: en
  • Pages: 323

Soft Computing in Data Science

  • Type: Book
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  • Published: 2017-11-23
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  • Publisher: Springer

This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2017, held in Yogyakarta, Indonesia, November 27-28, 2017. The 26 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on deep learning and real-time classification; image feature classification and extraction; classification, clustering, visualization; applications of machine learning; data visualization; fuzzy logic; prediction models and e-learning; text and sentiment analytics.

Soft Computing in Data Science
  • Language: en
  • Pages: 395

Soft Computing in Data Science

This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held in Iizuka, Japan, in August 2019. The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on ​information and customer analytics; visual data science; machine and deep learning; big data analytics; computational and artificial intelligence; social network and media analytics.

Internet of Things, Smart Computing and Technology: A Roadmap Ahead
  • Language: en
  • Pages: 408

Internet of Things, Smart Computing and Technology: A Roadmap Ahead

This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. In turn, the book discusses IoT appl...

ICoSTA 2022
  • Language: en
  • Pages: 399

ICoSTA 2022

We are delighted to present the Proceedings of the 4th International Conference on Science and Technology Applications (ICoSTA-2022) that organized by Research and Community Service Centre of Universitas Negeri Medan (LPPM UNIMED). This conference has brought researchers, academicians and practitioners from the national and international institutions to discuss and sharing around the big theme which is “Innovation in Science and Technology for Sustainable Human Quality Development”. The ICoSTA2022 conference presents 4 distinguised keynote speakers with several expertation including of The Educational and Learning System, Prof. Dr. Syawal Gultom, M.Pd, Glass Technology and Materials Scie...

ACEBISS 2019
  • Language: en
  • Pages: 312

ACEBISS 2019

We are delighted to introduce the proceedings of the first edition of the 2019 Annual Conference of Economics, Business and Social Sciences (ACEBISS). This conference has brought researchers, developers and practitioners around the world who are leveraging and developing the great chance of financial inclusion in economics and business also related to the social community toward industry 4.0. The theme of ACEBISS 2019 was “Fintech Effect, The Challenge of Financial Inclusion in Economics and Business”. Within this scope, ACEBISS is intended to provide a unique international forum for researchers from industry and academia, working on financial effect analysis especially Fintech, through qualitative and quantitative method to study phenomenon in social and business entities.