Computer and Information Sciences: UTP Publications

Editor(s): Jafreezal Jaafar, Said Jadid Abdulkadir, Aliza Sarlan
Publication Year: 2021 (eBook)
Pages: 237 pages
eISBN: 978-967-2880-02-8

Synopsis:
Emerging application trends in information technology focus on the concepts rather than their practical application, with the latter reserved
for more advanced study. An exception to this has been the fields of information technology, in which instruction has tended to focus directly on the tools of the trade, such as the technical aspects of word processing, spreadsheets, and databases. The philosophy of this book is to concentrate on the concepts of information technology, such as data representation, operating systems, programming languages, and
algorithms and present their emerging application trends. This book will inspire for future research in Information Technology.

           Book                               eBook

Editor(s): Mohd Hilmi Hasan, Norshakirah Aziz, Emelia Akashah P Akhir, Izzatdin A. Aziz, Jafreezal Jaafar
Publication Year: 2020 (Printed) 2021 (eBook)
Pages: 178 pages
ISBN: 978-967-2048-28-2 / eISBN: 978-967-2048-27-5

Synopsis:
Data analytics is a process to study data that involves acquiring, cleaning, analyzing and visualizing data to gain useful information. Data analytics carries out this duty using statistical and mathematical inferences or artificial intelligence algorithms. Nowadays, data analytics has been a critical application for most organizations due to its benefits, namely on cost reduction and faster yet better decision making, to name a few. Data analytics also supports the exploration and innovation of new products and services through its ability to learn what customers want. This book presents and discusses various data analytics problems and their solutions. The solutions include feature selection, semantic data mining, clustering analysis, fuzzy logic, deep learning, and exponential smoothing techniques. Moreover, this book also contains discussions on various types of applications that utilize data analytics based solutions. These applications cover areas such as educational data mining, financial forecasting, customer relationship management, prediction, healthcare, and the internet of things (IoT). This book is the most relevant reading material for understanding data analytics and as a reference for prospective researchers in data analytics subject.

Editor(s): Zuraini Hanim Zaini, Mazlina Mehat
Publication Year: 2021 (eBook)
Pages: 196 pages
eISBN: 978-967-2880-01-1

Synopsis:
Simple and motivating are the words to describe Visual Programming contents. The book aims to help readers, who are beginners in programming and wish to take one step at a time in learning a new programming language. Carefully prepared by lecturers who have 15 years of experience in guiding novice learners in the classroom and also for innovation competitions, the book shall intrigue students to explore more features in the programming world.

           Book                               eBook

Editor(s): Lukman Ab. Rahim, Shiladitya Bhattacharjee
Publication Year: 2020 (Printed) 2021 (eBook)
Pages: 200 pages
ISBN: 978-967-2048-35-0 / eISBN: 978-967-2048-36-7

Synopsis:
High-performance computing has innumerable traits and issues to explore and to find related solutions. This book facilitates the reader by offering detailed ideas about the several essential aspects of high performance computing related matters such as Multi-Step-Ahead forecasting, Latent Semantics Indexing, Grid computing, Real-Time Scheduling in Cloud Computing, Incentive-based Scheduling Algorithms to Provide a Green Computing infrastructure, Security mechanism for large and complex data transportation in a parallel computing platform, and Data compression mechanism of large and complex data. Furthermore, it offers detailed literature studies to explore the ongoing issues and existing corresponding solutions to resolve these issues. This book has presented literature studies to further analyze the persisting research gap by examining the strengths and shortcomings of such exiting solutions. Decisively, the corresponding solution to address the prevailing issues have also been served in this book. The proposed solutions for each outstanding issue are also examined as per their performance and effectiveness using distinct benchmarking parameters.

Editor(s): Norshakirah Abdul Aziz, Emelia Akashah Patah Akhir, Hitham Alhussian, Said Jadid Abdulkadir, Nur Faiza Ali
Publication Year: 2021 (eBook)
Pages: 162 pages
eISBN: 978-967-2880-00-4

Synopsis:
Microsoft Power BI provides sophisticated analytics that enables customers to develop valuable knowledge, turning data, and solving market challenges into breakthroughs. Advanced Power BI analytics enable enterprise customers in real-time to track main success metrics. The goal is to tackle different skills, knowledge of results, statistical applications in Excel, software for business analytics, and the use of R language in visualisation. Excel and Power BI collaborate well. This helps you to incorporate all methods to ensure a wide range of business and BI activities