Algorithm Essays (Examples)
Study Document
Privacy In Social Networks Regarding Machine Learning
… information and experience online. The conflict between these two directions in machine learning is likely to lead to a system wherein machine learning algorithms are actively engaged in the subversion of one another, with one attempting to conceal data and the other attempting to uncover it. This … machine learning.
Introduction
Social networks have allowed an ocean of personal data to form that is now sitting there waiting for machine learning algorithms to collect it, analyze it, and recognize individuals on social media (Oh, Benenson, Fritz & Schiele, 2016). Machine learning algorithms are thus being used more and more in social networks to collect data on users and to assess their browsing and personal information—and … the context of social media, and to a high degree they are. Mobile devices allow users to set information sharing settings that allow algorithms on other applications to identify a person’s location, habits,……
References
References
Balle, B., Gascón, A., Ohrimenko, O., Raykova, M., Schoppmmann, P., & Troncoso, C. (2019, November). PPML\\\\\\\\\\\\'19: Privacy Preserving Machine Learning. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (pp. 2717-2718). ACM.
Bilogrevic, I., Huguenin, K., Agir, B., Jadliwala, M., Gazaki, M., & Hubaux, J. P. (2016). A machine-learning based approach to privacy-aware information-sharing in mobile social networks. Pervasive and Mobile Computing, 25, 125-142.
Bonawitz, K., Ivanov, V., Kreuter, B., Marcedone, A., McMahan, H. B., Patel, S., ... & Seth, K. (2017, October). Practical secure aggregation for privacy-preserving machine learning. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (pp. 1175-1191). ACM.
Hunt, T., Song, C., Shokri, R., Shmatikov, V., & Witchel, E. (2018). Chiron: Privacy-preserving machine learning as a service. arXiv preprint arXiv:1803.05961.
Lindsey, N. (2019). New Research Study Shows That Social Media Privacy Might Not Be Possible. Retrieved from https://www.cpomagazine.com/data-privacy/new-research-study-shows-that-social-media-privacy-might-not-be-possible/
Mohassel, P., & Zhang, Y. (2017, May). Secureml: A system for scalable privacy-preserving machine learning. In 2017 IEEE Symposium on Security and Privacy (SP) (pp. 19-38). IEEE.
Mooney, S. J., & Pejaver, V. (2018). Big data in public health: terminology, machine learning, and privacy. Annual review of public health, 39, 95-112.
Oh, S. J., Benenson, R., Fritz, M., & Schiele, B. (2016, October). Faceless person recognition: Privacy implications in social media. In European Conference on Computer Vision (pp. 19-35). Springer, Cham.
Study Document
Artificial Intelligence In Public Administration
… is a technology that essentially allows the machine to learn how to address new problems based on the information collected and analyzed by algorithms over time. AI can be used to help public administrators make decisions and improve their performance. Some examples of the ways in which … a program for addressing child welfare in the community (Dhasarathy et al., 2019). To make AI work, programmers must be skilled in writing algorithms and public administrators must know what they want the program to do once it is written.
Goals
The goals of using AI are … use the money effectively (Dhasarathy et al., 2019).
Challenges
The challenges of implementing AI in public administration pertain to the proper writing of algorithms, monitoring for stability, and implementing…[break]…as effective or efficient as desired. This is why it is so important to have the right programming team ……
References
References
Dhasarathy, A., Jain, S. & Khan, N. (2019). When governments turn to AI: Algorithms, trade-offs, and trust. Public Sector Practice, January.
Study Document
Digital Forensics Importance Of Hash Values
… material; however, they offer no additional information pertaining to the contents of any material interpretable by an individual. Moreover, the hash function is algorithms that convert variable-sized text quantities into hash values (which are fixed-sized outputs). Also called “cryptographic hash functions,” they facilitate the development of digital … the key function of cryptographic hash functions is providing digital signatures. As hash functions often work more quickly as compared to digital signature algorithms, digital signatures are typically computed to certain documents through working out the document hash value’s signature that is smaller than the actual document … of two distinct files with identical hash values, the likelihood of wrong classifications may be deemed to be negligible (nearly 0). All hash algorithms that Biometrics and Digital investigators employ are mathematically accounted for, for demonstrating the reason for zero or negligible misclassification risks.
Conclusion
Integrity verification ……
References
References
Fang, J., Jiang, Z. L., Yiu, S. M., & Hui, L. C. (2011). An efficient scheme for hard disk integrity check-in digital forensics by hashing with combinatorial group testing. International Journal of Digital Content Technology and its Applications.
Kaya, M., & Eris, M. (2017). Hash-based block matching for digital evidence image files from forensic software tools. World Academy of Science, Engineering, and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 11(10), 1068-1071.
Kumar, K., Sofat, S., Jain, S. K., & Aggarwal, N. (2012). SIGNIFICANCE of hash value generation in digital forensic: A case study. International Journal of Engineering Research and Development, 2(5), 64-70.
Netherlands Forensic Institute, (2018a). Technical Supplement Forensic Use of Hash Values and Associated Hash Algorithms. Ministry of Justice and security.
Rasjid, Z. E., Soewito, B., Witjaksono, G., & Abdurachman, E. (2017). A review of collisions in cryptographic hash function used in digital forensic tools. Procedia computer science, 116, 381-392.
Study Document
Barriers That Prevent Implementation Of IoT Within Small Businesses
...Algorithm Executive Summary
The purpose of this study is to develop timely and informed answers to a series of guiding research questions and subquestions to identify the risks and barriers that are associated with Internet of Things implementations. These types of studies are important today because the Internet of Things is changing the manner in which companies of all sizes and types operate their businesses, and current trends indicate that these implementations are increasing exponentially. The Internet of Things allows conventional computer-based networks to incorporate data collected from everyday objects to provide real-time analyses and new applications for these technologies are being developed every day. Indeed, there are already more mobile devices in use around the world than there are people, and most authorities agree that the Internet of Things deployments will continue to increase well into the foreseeable future. Chapter one of the study provides the rationale in support of……
References
References
Ahamed, J., & Rajan, A.V. (2016). Internet of Things (IoT): Application systems and security vulnerabilities. 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA), 1-5.
Aishah, S., Sahandi, R., Prakoonwit, S., & Khan, W. (2019). Big data and IoT opportunities for small and medium-sized enterprises (SMEs). In Handbook of Research on Big data and the IoT. doi: 10.4018/978-1-5225-7432-3.ch005
An, N. & Wang, J. (2018, October). Research and practice on innovative methods of ideological and political education for college student. Educational Sciences Theory and Practice, 18(5), 2386-2391.
Banham, R. (2016, July-August). IoT complexity: As the Internet of Things expands, the risks-and questions of liability-become more complicated. Risk Management, 63(6), 39-44.
Bhardwaj, A., Subramanyam, G. V., Avasthi, V. & Sastry, H. (2016). Review of solutions for securing end user data over cloud applications. International Journal of Advanced Computer Research, 6(27), 2277-2291.
Bok, H. (2014, September). An empirical study on factors influencing Internet advertising effects. Advances in Management, 7(9), 6-9.
Business.com. (2018). Disaster preparedness for small businesses. Business.com, September 26. Retrieved from https://www.business.com/articles/business-disaster-prep/ .
Cass, J. (2019). Internet of Things: What it is, how it works, examples and more. Just Creative. Retrieved from https://justcreative.com/2018/11/19/internet-of-things-explained/ .
Study Document
Investigative Conclusion And Testimony
...Algorithm Section I
Provide a list of people you believe should be interviewed for this investigation and how they relate to the investigation. What information could they possibly supply?
For this investigation, there will be need to interrogate a number of persons. In so doing, I would be concerned with two key aspects that relate to the investigation: work-related aspects and aspects not related to the workplace. With regard to work-related aspects, I would be seeking to interview those who have closely worked with Mr. John Belcamp, i.e. his workmates and other organizational employees. These would be inclusive of his superiors (Ms. Carol McPherson, Mr. Harold Newman, Mr. John Belcamp, and Ms. Evelyn Bass), his subordinates, those at the same job level, and staff performing various key organizational roles (such as security personnel). This would essentially be a fact-finding undertaking aimed at determining whether there is indeed any possibility of violation……
References
References
Adam, C. (2016). Forensic Evidence in Court: Evaluation and Scientific Opinion. Hoboken, NJ: John Wiley & Sons.
Casey, E. (Ed.). (2009). Handbook of Digital Forensics and Investigation. Burlington, MA: Academic Press.
Maras, M. (2014). Computer Forensics: Cybercriminals, Laws, and Evidence (2nd ed.). Burlington, MA: Jones & Bartlett Publishers.
Newman, R.C. (2007). Computer Forensics: Evidence Collection and Management. New York, NY: CRC Press.
Reddy, N. (2019). Practical Cyber Forensics: An Incident-Based Approach to Forensic Investigations. New York, NY: Springer.
U.S. Department of Justice (2018). Reporting Intellectual Property Crime: A Guide for Victims of Copyright Infringement, Trademark Counterfeiting, and Trade Secret Theft. Retrieved from https://www.justice.gov/criminal-ccips/file/891011/download
Study Document
Social Media And Its Effects On Girls
… news channels and deliver news tailored for you (some of it fake) based on your behaviors and preferences gleaned over the last decade. Algorithms are used to give you the news that you will most likely consume, and that the news skewed toward your preferences (emphasis added). … the news that you will most likely consume, and that the news skewed toward your preferences (emphasis added). (8)
In sum, social media algorithms generate content that is geared towards users’ preferences in ways that concentrate bad news when this is what is routinely reviewed and vice ……
References
Works Cited
Ali, S. (2018). “Social Media Usage among Teenage Girls in Rawalpindi and Islamabad.” Global Media Journal, vol. 16, p. 31.
Chukwuere, Joshua Ebere and Chukwuere, Precious. (2017, December). Cyberbullying of female students: An exploration of literature study. Gender & Behaviour, vol. 13, no. 4, pp. 9983-9991.
Goodwin, Robin, Palgi,Yuval, Osnat, Lavenda, Yaira, Hamama-Raz and Ben-Ezra, Menachem. (2015), “Association between Media Use, Acute Stress Disorder and Psychological Distress.” Psychotherapy and Psychosomatics, vol. 84, no. 4, pp. 253-254
Granello, Paul F. and Zyromski, Brett. (2018, September-August). “Developing a Comprehensive School Suicide Prevention Program.” Professional School Counseling, vol. 22, no. 1, pp. 37-42.
Hutchinson, Tracy S. (2020, April 19). Ten things mentally strong people do during a pandemic. Psychology Today. [online] available: https://www.psychologytoday.com/us/blog/the-pulse-mental-health/202004/10-things-mentally-strong-people-do-during-pandemic.
Kemp. Simon. (2020, January). “Digital 2020.” We Are Social. [online] available: https://wearesocial.com/blog/2020/01/digital-2020-3-8-billion-people-use-social-media.
Redden, Crystal V. (2018, December). “The Media\\\\\\\\\\\\'s Influence on Female Relational Aggression and Its Implications for Schools.” Canadian Journal of Education, vol. 36, no. 4, pp. 374-381.
Reinberg, Steven. (2019, August 14). “Here\\\\\\\\\\\\'s How Too Much Social Media Can Harm Girls.” WebMD. [online] available: https://www.webmd.com/mental-health/news/20190814/ heres-how-too-much-social-media-can-harm-girls#1.
Study Document
TikTok Platform And Application Walkthrough
… features most of the elements from TikTok, and its social-oriented features suggest a likely integration/dependence on TikTok’s currently advanced social matching and prediction algorithm. In terms of the significant attributes of a platform infrastructure, TikTok has a history of programmability and adjustments to meeting end-users and complementor ……
References
Works-Cited List
Nieborg, David B., and Thomas Poell. "The platformization of cultural production: Theorizing the contingent cultural commodity." New Media & Society, vol. 20, no. 11, 2018, pp. 4275-4292.
Nieborg, David B., and Anne Helmond. "The political economy of Facebook’s platformization in the mobile ecosystem: Facebook Messenger as a platform instance." Media, Culture & Society, vol. 41, no. 2, 2018, pp. 196-218.
Plantin, Jean-Christophe, et al. "Infrastructure studies meet platform studies in the age of Google and Facebook." New Media & Society, vol. 20, no. 1, 2016, pp. 293-310.
Poell, Thomas and David Nieborg and José van Dijck. "Platformisation". Internet Policy Review 8.4 (2019). Web. 7 Mar. 2020.
Tiwana, Amrit. "The Value Proposition of Platforms." Platform Ecosystems, 2014, pp. 61-69.
Study Document
Fake News Detection
… required even in the future. Thus, the research suggests that fake news detection is much trickier than one might think and even though algorithms and machine learning can play a part in applying predictive modeling, they will not be completely 100% effective. The trick will be, therefore, ……
References
References
Conroy, Niall J., Victoria L. Rubin, and Yimin Chen. "Automatic deception detection: Methods for finding fake news." Proceedings of the Association for Information Science and Technology 52.1 (2015): 1-4.
Rubin, Victoria L., Yimin Chen, and Niall J. Conroy. "Deception detection for news: three types of fakes." Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community. American Society for Information Science, 2015.
Ruchansky, Natali, Sungyong Seo, and Yan Liu. "Csi: A hybrid deep model for fake news detection." Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. ACM, 2017.
Shu, Kai, et al. "Fake news detection on social media: A data mining perspective." ACM SIGKDD Explorations Newsletter19.1 (2017): 22-36.
Wang, William Yang. "" liar, liar pants on fire": A new benchmark dataset for fake news detection." arXiv preprint arXiv:1705.00648 (2017).
Study Document
Developing A Research Hypothesis
...Algorithm Abstract
Developing a researchable question is one of the challenging tasks a researcher encounters when initiating a project. In current clinical practice, both unanswered issues or when experiences dictate alternative therapies may provoke an investigator to formulate a clinical research question. This paper describes PICO (population, intervention, control, and outcomes) criteria in framing a research question. Finally, it assesses the characteristics of a peer-reviewed article on urinary tract infections.
Part 1
EBM, shorthand for Evidence-Based Medicine, is a core aspect of the medical profession. EBM provides statistical analyses and matters of clinical concern. It is based on research, reading, analysis, and combining many papers generated within the medical fraternity. EBM applications based on research evidence and clinical knowledge and reviews of the system go a long way in improving clinical decisions. Usually, the PICO guideline is applied in developing a comprehensive, focused definition of clinical concern. In such a system,……
References
References
Considine, J., Shaban, R. Z., Fry, M., & Curtis, K. (2017). Evidence-based emergency nursing: designing a research question and searching the literature. International emergency nursing, 32, 78-82.
Eriksen, M. B., & Frandsen, T. F. (2018). The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: a systematic review. Journal of the Medical Library Association: JMLA, 106(4), 420.
Yuan, X., Xiaoli, L., Shilei, L., Qinwen, S., & Ke, L. (2019, May). Extracting PICO elements from RCT abstracts using 1-2gram analysis and multitask classification. In Proceedings of the third International Conference on Medical and Health Informatics 2019 (pp. 194-199).
Scells, H., Zuccon, G., Koopman, B., Deacon, A., Azzopardi, L., &Geva, S. (2017, November). Integrating the framing of clinical questions via PICO into the retrieval of medical literature for systematic reviews. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (pp. 2291-2294).
Basmaci, R., Vazouras, K., Bielicki, J., Folgori, L., Hsia, Y., Zaoutis, T., &Sharland, M. (2017). Urinary tract infection antibiotic trial study design: a systematic review. Pediatrics, 140(6).
Misra, D. P., & Agarwal, V. (2018). Systematic reviews: challenges for their justification, related comprehensive searches, and implications. Journal of Korean medical science, 33(12).
Belcher, B. M., Rasmussen, K. E., Kemshaw, M. R., &Zornes, D. A. (2016). Defining and assessing research quality in a transdisciplinary context. Research Evaluation, 25(1), 1-17.
Fu, D. Y., & Hughey, J. J. (2019). Meta-Research: Releasing a preprint is associated with more attention and citations for the peer-reviewed article. Elife, 8, e52646.
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