48 10 3143 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data Analytics in Developing Economies: Harnessing Insights and Creating Value Creator An entity primarily responsible for making the resource Forgor Lempogo, Ezer Osei Yeboah-Boateng, William Leslie Brown-Acquaye Description An account of the resource In a world increasingly driven by data, most developed economies are leveraging big data to achieve greater feats in various sectors of their economies. From advertisement, commerce, healthcare, and energy to defense, big data has given new insights into the huge volume of data accumulated over the past few decades that is helping reshape our knowledge and understanding of these sectors. Unfortunately, the same cannot be said about the state of big data in the developing world, where investments in IT infrastructure are dangerously low, keeping huge proportions of the population offline. This chapter discussed the challenges that exist in developing countries, which affect the smooth take-off of big data and data science as well as recommendations as to how countries and companies in the developing world can overcome these challenges to harness the benefits and opportunities presented by this … Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2021 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=BDvl0VYAAAAJ&citation_for_view=BDvl0VYAAAAJ:hqOjcs7Dif8C Language A language of the resource English https://repository.gctu.edu.gh/files/original/dfff854b6ea62196368aca3af3790702.pdf 83d08dbc12aec686ca6cbd774cd23637 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data Analytics: Tools and Technology for Effective Planning Creator An entity primarily responsible for making the resource Arun K. Somani, Ganesh Chandra Deka Subject The topic of the resource Data Analytics, Big Data Publisher An entity responsible for making the resource available Chapman and Hall/CRC Date A point or period of time associated with an event in the lifecycle of the resource 2017 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text https://repository.gctu.edu.gh/files/original/d17fcbf63db38d9430b819a4a7bf2cdb.pdf c31bb44bad627e318d1ee6062281c6bf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data and Analytics Creator An entity primarily responsible for making the resource Samiya Khan Subject The topic of the resource Big Data, Data Analytics Publisher An entity responsible for making the resource available Notion Press Date A point or period of time associated with an event in the lifecycle of the resource 2021 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English https://repository.gctu.edu.gh/files/original/2b6a55a8d15f55a404ee7f719ab82fcd.pdf 83f44596822d26b6f42896c21dae39a1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data and Analytics: The Key Concepts and Practical Applications of Big Data Analytics Creator An entity primarily responsible for making the resource Jugnesh Kumar, Anubhav Kumar, Rinku Kumar Subject The topic of the resource Computing and Internet, Data Science, Big Data Techniques Publisher An entity responsible for making the resource available BPB Publications Date A point or period of time associated with an event in the lifecycle of the resource 2024 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text https://repository.gctu.edu.gh/files/original/980e983352cecb545b5a991eae97f26f.pdf 806c559550bcc1e99eedcb83f429be13 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data and Artificial Intelligence in Digital Finance: Increasing Personalization and Trust in Digital Finance Using Big Data and AI Creator An entity primarily responsible for making the resource Soldatos, John., Kyriazis, Dimosthenis Description An account of the resource This open access book presents how cutting-edge digital technologies like big data, machine learning, artificial intelligence (AI), and blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more of the most popular Big Data, AI, and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, and Portfolio Risk Assessment, as well as a variety of novel usage-based insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed, and validated in real-life digital finance settings in the context of the European Commission-funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in big data, AI, banking, and digital finance. Subject The topic of the resource Artificial Intelligence, Blockchain, and Big Data Applications Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2022 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License. Language A language of the resource English Type The nature or genre of the resource Text https://repository.gctu.edu.gh/files/original/99c89b59510b668c0c7e84452c27c7ed.pdf 93388c32959832cc7fdab0e9b861c177 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data in Economics and Management Creator An entity primarily responsible for making the resource Zheng Zhang, Kun Zhang, Xing Yan, Songshan Yang, Yuqian Zhang Subject The topic of the resource Statistics and Big Data Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource This book discusses three advanced topics in modern economics and management: causal inference, financial model computing and decisions, and financial risk management. The first part of the book introduces the counterfactual framework for causal inference in observational studies and defines important causal parameters under both discrete and continuous treatments. The second part focuses on the computations associated with the financial model and its consequent decision-making. The third part studies the nested simulation method for portfolio risk measurement and introduces the neural network methodology for market risk forecasting. The goal of this book is to provide cutting-edge methodologies and rigorous theory to solve advanced problems in economics and management, such as program/policy evaluation, efficient computation of econometric models, and financial risk management. This book will be appealing to academic researchers and graduate students. Practitioners may also find this book helpful. https://repository.gctu.edu.gh/files/original/48f3b8fb2df8b180a3585fd92eed0d8d.pdf 9cceac0d9a0c5330e89bdf9b734699d2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data Management and Analytics (Future Computing Paradigms and Applications) Creator An entity primarily responsible for making the resource Brij B.Gupta and Mamta Subject The topic of the resource Big Data,Computing Paradigms Publisher An entity responsible for making the resource available World Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2024 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Bio-Inspired Optimisation Algorithm for Congestion Control in Computer Networking Creator An entity primarily responsible for making the resource Richard Nana Nketsiah, Israel Edem Agbehadji, Richard C Millham, Emmanuel Freeman Description An account of the resource The development of internet technology gives consumers the chance to transfer packets across networks instantly. Such developments in internet technology are anticipated to ease congestion. Despite this, the majority of firms were bound by the expense of deploying cutting-edge technology or updating network infrastructure, necessitating efficient congestion management. Inherent distribution optimisation, which requires each source device on the network to continually adjust to its traffic load using the feedback information received or acknowledged from another source device, is unfortunately the problem with congestion management. This research addresses the issue of continually adjusting to a network traffic load by presenting a unique optimisation technique. This strategy is based on the features and hunting behaviour of foxes and rabbits on wild grass. A computer network congestion optimisation … Publisher An entity responsible for making the resource available Springer Nature Switzerland Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:kNdYIx-mwKoC Language A language of the resource English https://repository.gctu.edu.gh/files/original/ba50097823e2f5269eb4c88095a4c2cc.pdf 88a3765424a0fb28ae53ce9449a42271 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Food Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Biochemical and textural changes in trifoliate yam Dioscorea dumetorum tubers after harvest Creator An entity primarily responsible for making the resource Samuel Sefa-Dedeh, Emmanuel Ohene Afoakwa Description An account of the resource Biochemical and textural changes were investigated in trifoliate yam Dioscorea dumetorum tubers, after harvest, in an attempt to study the chemical and physical changes associated with the raw and cooked tubers and how these relate to the hardening phenomenon of the tubers after harvest. A 2×2×3×4 factorial experiment, with cultivar, storage condition, treatment and storage time as their respective variables, was done. Samples were analysed for moisture, starch, reducing sugars, alcohol-soluble sugars, acid and neutral detergent fibre, cellulose, hemicellulose and lignin. The Warner–Bratzler test cell was used in a TA.XT2 Texture Analyser to measure the hardness of cooked tubers. The moisture and starch contents of the tubers decreased from 77.8 to 70.4% and 70.5 to 66.5 g/100g, respectively in a period of 72 h of storage, suggesting rapid dehydration after harvest and breakdown of starch. All the other … Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2002 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=EZuX1N8AAAAJ&pagesize=80&citation_for_view=EZuX1N8AAAAJ:5nxA0vEk-isC Language A language of the resource English https://repository.gctu.edu.gh/files/original/083398be6748552d5132469e80a0f91f.pdf 6e2c7701ec6e14b8035f4016ec25984f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Biometric and Intelligent Decision-Making Support Creator An entity primarily responsible for making the resource Kaklauskas, Arturas Subject The topic of the resource Business Decision Management Publisher An entity responsible for making the resource available Springer International Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2015 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English