Sebanyak 633 item atau buku ditemukan

Teknologi Blockchain dan Implementasinya

Blockchain merupakan sistem penyimpanan data digital berisikan catatan yang terhubung melalui kriptografi. Sistem blockchain dapat dikatakan menyerupai catatan transaksi digital yang terdiri dari banyak server. Berkat teknologi ini, transaksi menjadi lebih jauh lebih mudah karena tidak lagi memerlukan keberadaan perentara. Buku ini membahas tenatng : Bab 1 Pengantar Blockchain Bab 2 Blockchain Ecosystem Bab 3 Kriptografi dan Konsensus Bab 4 Isu Keamanan dan Privacy Dalam Blockchain Bab 5 Bitcoin Blockchain dan Aplikasi Blockchain Lainnya Bab 6 Dasar-Dasar Bitcoin Bab 7 Dasar-Dasar Ethereum Bab 8 Smart Contracts Dalam Blockchain Bab 9 Implementasi Blockchain Bab 10 Kasus Penggunaan Blockchain

Karena fungsi dari DApp tersebut persis seperti lembaga perbankan. Anda bisa menyimpan aset, menjaminkan aset, menyewakan aset, membeli produk investasi, atau menjadi penjual aset. Semua kinerja perbankan bisa dilakukan oleh DeFI ini.

Pengantar Teknologi Informasi (Dalam Perkembangan Data Science)

Buku “Pengantar Teknologi Informasi” berisikan uraian tentang teori-teori dasar di bidang Teknologi Informasi, termasuk di dalamnya bagaimana dimulai dengan data dan informasi. Dilanjutkan sejarah dan kinerja evolusi komputer, perangkat I/O, sistem bilangan, sistem basis data, jaringan komputer, keamanan informasi, e-commerce, artificial intelligence, data mining, business intelligence dan data science. Tujuan di ambilnya perkembangan data science pun karena akan kebutuhan semua bidang untuk mengolah data menjadi informasi.

Kesehatan Bisnis Dengan TI dalam bidang bisnis maupun perbankan dalam pencatatan transaksi, menyimpan berkas dengan lebih terjamin keamannya dan sistem perbankan yang lebih maju untuk daya saing. Serta dapat mengontrol pekerjaan dengan ...

National Systems of Innovation in Comparison

Structure and Performance Indicators for Knowledge Societies

The concept of National Systems of Innovation was introduced as a method to describe the various elements which contribute to innovation performance and their interaction. In this book, the innovation structures of a broad set of countries are compared. It provides more than a pure compilation of quantitative indicators for international benchmarking, supporting an appropriate interpretation of the referring results and suggesting relevant conclusions for innovation policy.

In this book, the innovation structures of a broad set of countries are compared.

Big Data Imperatives

Enterprise ‘Big Data’ Warehouse, ‘BI’ Implementations and Analytics

Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

Security, Privacy, and Forensics Issues in Big Data

With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.

Different big data technologies are introduced in many areas of banking right from mobile banking, revealing the signs of fraudulent happenings in internet banking, to the management of cash. These technologies contribute to a higher ...

Big Data Concepts, Theories, and Applications

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.

interactions between the customers and the banks, and in the meantime led to an increase in virtual interactions and increasing volume of customer data. The data that banks hold about their customers is much bigger in volume and much ...

Blockchain, Big Data and Machine Learning

Trends and Applications

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.

Data security is important, as it is necessary to protect the privacy of both patients and doctors. ... There exists a gap in research and development of blockchain with big data technology in banking sector, and this gap is expected to ...

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

SPIoT-2021 Volume 1

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

that deposit competition will force banks to raise their own deposit interest rate, which will increase the cost and thus increase the ... Then we take the unbalanced data of 127 Chinese banks from 2011 to 2018 as the research samples.

Modern Management Based on Big Data III

Proceedings of MMBD 2022

Data is the basic ingredient of all Big Data applications, and Big Data technologies are constantly deploying new strategies to maximise efficiency and reduce the time taken to process information. This book presents the proceedings of MMBD2022, the third edition of the conference series Modern Management based on Big Data (MMBD). The conference was originally scheduled to take place from 15 to 18 August 2022 in Seoul, South Korea, but was changed to a virtual event on the same dates. Some 200 submissions were received for presentation at the conference, 52 of which were ultimately accepted after exhaustive review by members of the programme committee and peer-reviewers, who took into account the breadth and depth of the research topics and the scope of MMBD. Topics covered include data analytics, modelling, technologies and visualization, architectures for parallel processing systems, data mining tools and techniques, machine learning algorithms, and big data for engineering applications. There are also papers covering modern management, including topics such as strategy, decision making, manufacturing and logistics-based systems, engineering economy, information systems and law-based information treatment, and papers from a special session covering big data in manufacturing, retail, healthcare, accounting, banking, education, global trading, and e-commerce. Big data analysis and emerging applications were popular topics. The book includes many innovative and original ideas, as well as results of general significance, all supported by clear and rigorous reasoning and compelling evidence and methods, and will be of interest to all those working with Big Data.

This paper aims to evaluate the impact of Islamic FinTech innovations on Malaysia's banks' performance by utilizing the eighteen regional commercial banks that started Islamic banking in Malaysia. The data is from 2005 - 2020 with four ...

Application of Big Data, Blockchain, and Internet of Things for Education Informatization

Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part I

The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29–31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as “Big Data” and “Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.

Research on Channel Optimization Strategy Based on Data Mining Technology Dan Wang( B ) Sichuan University of Media ... After the combination of e-commerce and traditional banking, emerging self- service channels such as self-service ...