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Journal : Proceedings of The ICECRS

Exploring the Intersection of Digital Forensics and Neural Networks: A Decade-Long Analysis Effendi, Muhammad Imam; Purwaningsih, Sri Budi; Hasan, Rizqi
Proceedings of The ICECRS Vol 12 No 1 (2023): Proceedings of Data in Education, Culture, and Interdisciplinary Studies
Publisher : International Consortium of Education and Culture Research Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/icecrs.v12i2.1529

Abstract

This comprehensive dataset sourced from Lens.org focuses on digital forensics and neural networks, spanning scholarly articles from 2002 to 2012. With 476 curated journal articles, our study refined to 16 pertinent law-related articles using advanced search filters. The goal was to illuminate key trends in this dynamic realm, highlighting institutions like University of Westminster and University of Texas at San Antonio, active years in 2007 and 2012, and the prevalence of computer science as the primary field of study. Notable works, like "An automated timeline reconstruction approach for digital forensic investigations" by N Lang Beebe and J Guynes Clark in 2016, were identified. Our findings provide nuanced insights, shaping future discourse on the interdisciplinary nexus between digital forensics and neural networks. Highlights : Dataset covers digital forensics and neural networks from 2002 to 2012 Key trends include prominent institutions, active years, and primary study fields Offers valuable insights for shaping future discourse in this interdisciplinary field Keywords: Digital Forensic, Neural Networks, Law, Interdisciplinary, Trends
Cyberlaw and Students: A Comprehensive Study Effendi, Muhammad Imam; Purwaningsih, Sri Budi; Fiddina, Irta
Proceedings of The ICECRS Vol 12 No 1 (2023): Proceedings of Data in Education, Culture, and Interdisciplinary Studies
Publisher : International Consortium of Education and Culture Research Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/icecrs.v12i2.1530

Abstract

This curated dataset, sourced from Lens.org, compiles 120 journal articles exploring Cyberlaw's intersection with students. Leveraging specific filters, 9 law-focused articles were meticulously selected. The primary goal was to provide a comprehensive view of Cyberlaw's global landscape concerning student populations. Analyzing active institutions, prolific authors, and key publications highlighted South Africa's significant contribution and shed light on the intricate relationship between legal frameworks and students' digital activities. Notable trends across publication years were identified, including influential works such as L. Lessig's 1999 publication, "The Law of the Horse: What Cyberlaw Might Teach." This dataset serves as a valuable resource for researchers seeking insights into Cyberlaw's dynamics concerning student communities worldwide. Highlights : Curated dataset of 120 articles on Cyberlaw and Students Emphasis on the relationship between legal frameworks and students' digital activities Valuable insights for understanding Cyberlaw dynamics within student contexts Keywords: Cyberlaw, Students, Dataset, Legal Frameworks, Digital Activities
Exploring the Nexus of E-Commerce and Tax Evasion: A Comprehensive Data Analysis Effendi, Muhammad Imam; Mediawati, Noor Fatimah; Fidayanti, Anita Rohma
Proceedings of The ICECRS Vol 12 No 1 (2023): Proceedings of Data in Education, Culture, and Interdisciplinary Studies
Publisher : International Consortium of Education and Culture Research Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/icecrs.v12i2.1531

Abstract

This dataset, compiled from 1523 documents retrieved via lens.org using "E-Commerce" and "Tax Evasion" keywords, focuses on the legal aspects of online business. After refining document types to "Journal Article" and "Conference Proceeding," 771 relevant documents were obtained. The goal was to create a resource aiding research into the intersection of E-Commerce and Tax Evasion. Employing document type filters ensured a refined dataset for scholars and researchers. Results yielded a comprehensive collection facilitating insights and further analysis in this domain. This dataset serves as a valuable tool for understanding the legal dimensions of online business practices and their implications regarding tax evasion.Highlights : Dataset comprising 771 documents on E-Commerce and Tax Evasion Facilitates in-depth research into the legal intersection of online business and tax evasion Valuable resource for scholars investigating the legal dimensions of E-Commerce practices Keywords: E-Commerce, Tax Evasion, Dataset, Legal Aspects, Online Business