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2023

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Effectual Text Classification In Data Mining: A Practical Approach, Israa Ezzat, Alaa Wagih Abdulqader, Atheel Sabih Shaker Jan 2023

Effectual Text Classification In Data Mining: A Practical Approach, Israa Ezzat, Alaa Wagih Abdulqader, Atheel Sabih Shaker

Mesopotamian Journal of Big Data

Text classification is the process of setting records into classes that have already been set up based on what they say. It automatically puts texts in natural languages into categories that have already been set up. Text classification is the most crucial part of text retrieval systems, which find texts based on what the user requests, and text understanding systems, which change the text in some way, like by making summaries, answering questions, or pulling out data. Existing algorithms that use supervised learning to classify text automatically need enough examples to learn well. The algorithms for data mining are used …

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Active Learning With Bayesian Cnn Using The Bald Method For Hyperspectral Image Classification, Mahmood Siddeeq Qadir, Gokhan Bi̇lgi̇n Jan 2023

Active Learning With Bayesian Cnn Using The Bald Method For Hyperspectral Image Classification, Mahmood Siddeeq Qadir, Gokhan Bi̇lgi̇n

Mesopotamian Journal of Big Data

Deep learning DL techniques have recently been used to examine the classification of remote sensing data like  hyperspectral images HSI. However, DL models are difficult to obtain since they rely largely on a large number of labeled training data. Therefore, a current challenge in the field of HSI classification is how to effectively incorporate DL models in constrained labeled data. The Bayesian Convolutional Neural Networks BCNN method is robust against overfitting on small datasets. One of the key methods for automating data selection is active learning AL, which has gained popularity in recent decades. By choosing the most informative samples, …

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Analysing The Connection Between Ai And Industry 4.0 From A Cybersecurity Perspective: Defending The Smart Revolution, Indu Bala, Maad M. Mijwil, Guma Ali, Emre Sadıkoğlu Jan 2023

Analysing The Connection Between Ai And Industry 4.0 From A Cybersecurity Perspective: Defending The Smart Revolution, Indu Bala, Maad M. Mijwil, Guma Ali, Emre Sadıkoğlu

Mesopotamian Journal of Big Data

In recent years, the significance and efficiency of business performance have become dependent heavily on digitization, as jobs in companies are seeking to be transformed into digital jobs based on smart systems and applications of the fourth industrial revolution. Cybersecurity systems must interact and continuously cooperate with authorized users through the Internet of Things and benefit from corporate services that allow users to interact in a secure environment free from electronic attacks. Artificial intelligence methods contribute to the design of the Fourth Industrial Revolution principles, including interoperability, information transparency, technical assistance, and decentralized decisions. Through this design, security gaps may …

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The Data-Driven Future Of Healthcare: A Review, Muhammad Miftahul Amri, Saad Abbas Abed Jan 2023

The Data-Driven Future Of Healthcare: A Review, Muhammad Miftahul Amri, Saad Abbas Abed

Mesopotamian Journal of Big Data

The future of disease detection, treatment, and prevention may very well lie in data-driven healthcare. Here, we take stock of where things stand and highlight certain emerging issues and long-standing difficulties. We looked at all the research that has been published on the topic of data-driven healthcare decision-making. Our research shows that the use of data in healthcare has already improved patient care and results. However, there are substantial obstacles that must be overcome, such as the need to more effectively integrate data from multiple sources, as well as issues with data quality, privacy, and security. Furthermore, healthcare data use …

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Navigating The Metaverse Of Big Data: A Bibliometric Journey, O. S. Albahri, A. H. Alamoodi Jan 2023

Navigating The Metaverse Of Big Data: A Bibliometric Journey, O. S. Albahri, A. H. Alamoodi

Mesopotamian Journal of Big Data

The advent of the metaverse, an immersive digital universe, has caused a sea change in how people experience and share knowledge, fun, and community. This bibliometric study examines the vast realm of big data research into metaverses. We analyse the development, trends, and major players in this cross-disciplinary subject using bibliometric methods applied to a large database of academic publications, conference proceedings, and journals. Our study covers the years 2021–2023 and incorporates the most recent discoveries in the metaverse. In doing so, it sheds light on the intellectual landscape of metaverse-related studies by identifying the most relevant authors, publications, and …

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Chatgpt In Waste Management: Is It A Profitable, Thaeer Mueen Sahib, Hussain A. Younis, Osamah Mohammed Alyasiri, Ahmed Hussein Ali, Sani Salisu, Ameen A. Noore, Israa M. Hayder, Misbah Shahid Jan 2023

Chatgpt In Waste Management: Is It A Profitable, Thaeer Mueen Sahib, Hussain A. Younis, Osamah Mohammed Alyasiri, Ahmed Hussein Ali, Sani Salisu, Ameen A. Noore, Israa M. Hayder, Misbah Shahid

Mesopotamian Journal of Big Data

No abstract provided.

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Optimizing Big Data Analytics For Reliability And Resilience: A Survey Of Techniques And Applications, El-Houcine El Baqqaly, Alaa Hussein Khaleel Jan 2023

Optimizing Big Data Analytics For Reliability And Resilience: A Survey Of Techniques And Applications, El-Houcine El Baqqaly, Alaa Hussein Khaleel

Mesopotamian Journal of Big Data

The advent of big data has revolutionized various industries, enabling organizations to make data- driven decisions and gain valuable insights. However, the sheer volume, velocity, and variety of big data pose significant challenges in ensuring the reliability and resilience of big data analytics pipelines. In this context, optimization techniques play a crucial role in enhancing the reliability and resilience of big data analytics. This paper provides a comprehensive survey of optimization techniques for reliable and resilient big data analytics. The paper first discusses the motivation for optimizing big data analytics for reliability and resilience. Then, it presents a detailed overview …

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Mapping The Evolution Of Intrusion Detection In Big Data: A Bibliometric Analysis, Mohanad G. Yaseen, A. S. Albahri Jan 2023

Mapping The Evolution Of Intrusion Detection In Big Data: A Bibliometric Analysis, Mohanad G. Yaseen, A. S. Albahri

Mesopotamian Journal of Big Data

This study provides a comprehensive analysis of the dynamic amalgamation of intrusion detection and big data, revealing trends and patterns within cybersecurity research. The investigation reveals a notable surge in scholarly output from 2018 onwards, reflecting heightened interest and exploration within the field. Dominant themes such as "intrusion detection," "big data," and "machine learning" underscore the integration of security concerns with advanced technologies. Geographical influences showcase diverse contributions, with varying citation impacts from countries like India, China, and Saudi Arabia. Author contributions reveal a balance between prolific authors and impactful contributions from authors with fewer publications. Recommendations include fostering interdisciplinary …

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Antitrust Concerns Vis-A-Vis Disruptive Innovation – Takeaways For Competition Commission Of India, Sudhanshu Kumar, Garima Gupta Jan 2023

Antitrust Concerns Vis-A-Vis Disruptive Innovation – Takeaways For Competition Commission Of India, Sudhanshu Kumar, Garima Gupta

Articles

In the era of innovation, market dynamics have evolved demanding a more nuanced analysis of market competition. Innovation in digital economy does promise new products and services but it can be an amiable reality only if it is directed towards ensuring consumer welfare and a free markets space for players. Since digital markets attract innovators and disruptors, it is important for antitrust regulators to differentiate between efforts directed towards value-creation and ones aimed at destroying or impeding the same. This paper aims at theorizing around the idea of ‘disruptive innovation’ and its implications for competition policy for India. The paper …

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