References
Jiang, C., Song, J., Liu, G., Zheng, L., & Luan, W. (2018). Credit card fraud detection: A novel approach using aggregation strategy and feedback mechanism. IEEE Internet of Things Journal, 5(5), 3637-3647.
Li, Z., Liu, G., & Jiang, C. (2020). Deep representation learning with full center loss for credit card fraud detection. IEEE Transactions on Computational Social Systems, 7(2), 569-579.
Tingfei, H., Guangquan, C., & Kuihua, H. (2020). Using Variational Auto Encoding in Credit Card Fraud Detection. IEEE Access, 8, 149841-149853.
Zheng, L., Liu, G., Yan, C., & Jiang, C. (2018). Transaction fraud detection based on total order relation and behavior diversity. IEEE Transactions on Computational Social Systems, 5(3), 796-806.
Zhang, Z., Chen, L., Liu, Q., & Wang, P. (2020). A Fraud Detection Method for Low-Frequency Transaction. IEEE Access, 8, 25210-25220.
Zanetti, M., Jamhour, E., Pellenz, M., Penna, M., Zambenedetti, V., & Chueiri, I. (2017). A tunable fraud detection system for advanced metering infrastructure using short-lived patterns. IEEE Transactions on Smart grid, 10(1), 830-840.
Huang, D., Mu, D., Yang, L., & Cai, X. (2018). CoDetect: Financial fraud detection with anomaly feature detection. IEEE Access, 6, 19161-19174.
Omair, B., & Alturki, A. (2020). A Systematic Literature Review of Fraud Detection Metrics in Business Processes. IEEE Access, 8, 26893-26903.
Zhu, Bing & Yang, Wenchuan & Wang, Huaxuan & Yuan, Yuan. (2018). A hybrid deep learning model for consumer credit scoring. 205-208. 10.1109/ICAIBD.2018.8396195.
Nie, G., Wei, R., Zhang, L., Tian, Y., and Shi, Y., 2011. Credit card churn forecasting by logistic regression and decision tree. Expert Systems with Applications 38, 12, 15273-15285.
Cecotti, Hubert & Rivera, Agustin & Farhadloo, Majid & Villarreal, Miguel. (2020). Grape detection with Convolutional Neural Networks. Expert Systems with Applications. 159. 113588. 10.1016/j.eswa.2020.113588.
Yifei, R. A. O. (2016). Big Data Algorithm Applied to Credit Risk Assessment Model. International Journal of Simulation–Systems, Science & Technology, 17(42).
Sarigul, Mehmet & Ozyildirim, B.M. & Avci, Mutlu. (2019). Differential convolutional neural network. Neural Networks. 116. 10.1016/j.neunet.2019.04.025.
Zhou, F.-Y & Jin, Linpeng & Dong, Jianfang. (2017). Review of Convolutional Neural Network. Jisuanji Xuebao/Chinese Journal of Computers. 40. 1229-1251. 10.11897/SP.J.1016.2017.01229.
Dawood, E. A. E., Elfakhrany, E., & Maghraby, F. A. (2019). Improve Profiling Bank Customer’s Behavior Using Machine Learning. IEEE Access, 7, 109320-109327.
Kvamme, Håvard & Sellereite, Nikolai & Aas, Kjersti & Sjursen, Steffen. (2018). Predicting Mortgage Default using Convolutional Neural Networks. Expert Systems with Applications. 102. 10.1016/j.eswa.2018.02.029.
Zhou, X., Zhang, W., & Jiang, Y. (2020). Personal Credit Default Prediction Model Based on Convolution Neural Network. Mathematical Problems in Engineering, 2020.
Yu, Z. Y., & Zhao, S. F. (2011, December). Bank credit risk management early warning and decision-making based on BP neural networks. In 2011 IEEE International Symposium on IT in Medicine and Education (Vol. 2, pp. 528-532). IEEE.
Cheng, D., Xiang, S., Shang, C., Zhang, Y., Yang, F., & Zhang, L. (2020, April). Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, No. 01, pp. 362-369).
>Computer Science homework help
UncategorizedThe BLS has wage information for hundreds of jobs and data can also be found by state. There is much information here so take some time to browse around.
Once you arrive at the site, complete the following steps to gather the data you need to answer the discussion questions.
Part 1
Part 2
Step 3
Include the following in your discussion post:
Information Systems homework help
UncategorizedPrepare a 2 page to one page paper on your findings.
Please double space your paper and cite your sources.
2. Please submit your project/research paper on Multimedia databases . For your Course Project, you will prepare a 3 to 4 page research paper on a topic of your choice based on one of the chapters or a section within a chapter from your textbook. Please submit your APA-formatted paper in a Word document.
Your paper must be double spaced and include a cover page and a reference page for your cited sources.
Please note that the reference page and cover page do not count towards your paper’s three to five pages in length.
NOTE: PLEASE MAKE SURE 2 QUESTIONS ARE 2 DIFFERENT RESEARCH PAPERS. TO BE WRITTEN SEPERATE DOCUMENTATION.
Information Systems homework help
UncategorizedJiang, C., Song, J., Liu, G., Zheng, L., & Luan, W. (2018). Credit card fraud detection: A novel approach using aggregation strategy and feedback mechanism. IEEE Internet of Things Journal, 5(5), 3637-3647.
Li, Z., Liu, G., & Jiang, C. (2020). Deep representation learning with full center loss for credit card fraud detection. IEEE Transactions on Computational Social Systems, 7(2), 569-579.
Tingfei, H., Guangquan, C., & Kuihua, H. (2020). Using Variational Auto Encoding in Credit Card Fraud Detection. IEEE Access, 8, 149841-149853.
Zheng, L., Liu, G., Yan, C., & Jiang, C. (2018). Transaction fraud detection based on total order relation and behavior diversity. IEEE Transactions on Computational Social Systems, 5(3), 796-806.
Zhang, Z., Chen, L., Liu, Q., & Wang, P. (2020). A Fraud Detection Method for Low-Frequency Transaction. IEEE Access, 8, 25210-25220.
Zanetti, M., Jamhour, E., Pellenz, M., Penna, M., Zambenedetti, V., & Chueiri, I. (2017). A tunable fraud detection system for advanced metering infrastructure using short-lived patterns. IEEE Transactions on Smart grid, 10(1), 830-840.
Huang, D., Mu, D., Yang, L., & Cai, X. (2018). CoDetect: Financial fraud detection with anomaly feature detection. IEEE Access, 6, 19161-19174.
Omair, B., & Alturki, A. (2020). A Systematic Literature Review of Fraud Detection Metrics in Business Processes. IEEE Access, 8, 26893-26903.
Zhu, Bing & Yang, Wenchuan & Wang, Huaxuan & Yuan, Yuan. (2018). A hybrid deep learning model for consumer credit scoring. 205-208. 10.1109/ICAIBD.2018.8396195.
Nie, G., Wei, R., Zhang, L., Tian, Y., and Shi, Y., 2011. Credit card churn forecasting by logistic regression and decision tree. Expert Systems with Applications 38, 12, 15273-15285.
Cecotti, Hubert & Rivera, Agustin & Farhadloo, Majid & Villarreal, Miguel. (2020). Grape detection with Convolutional Neural Networks. Expert Systems with Applications. 159. 113588. 10.1016/j.eswa.2020.113588.
Yifei, R. A. O. (2016). Big Data Algorithm Applied to Credit Risk Assessment Model. International Journal of Simulation–Systems, Science & Technology, 17(42).
Sarigul, Mehmet & Ozyildirim, B.M. & Avci, Mutlu. (2019). Differential convolutional neural network. Neural Networks. 116. 10.1016/j.neunet.2019.04.025.
Zhou, F.-Y & Jin, Linpeng & Dong, Jianfang. (2017). Review of Convolutional Neural Network. Jisuanji Xuebao/Chinese Journal of Computers. 40. 1229-1251. 10.11897/SP.J.1016.2017.01229.
Dawood, E. A. E., Elfakhrany, E., & Maghraby, F. A. (2019). Improve Profiling Bank Customer’s Behavior Using Machine Learning. IEEE Access, 7, 109320-109327.
Kvamme, Håvard & Sellereite, Nikolai & Aas, Kjersti & Sjursen, Steffen. (2018). Predicting Mortgage Default using Convolutional Neural Networks. Expert Systems with Applications. 102. 10.1016/j.eswa.2018.02.029.
Zhou, X., Zhang, W., & Jiang, Y. (2020). Personal Credit Default Prediction Model Based on Convolution Neural Network. Mathematical Problems in Engineering, 2020.
Yu, Z. Y., & Zhao, S. F. (2011, December). Bank credit risk management early warning and decision-making based on BP neural networks. In 2011 IEEE International Symposium on IT in Medicine and Education (Vol. 2, pp. 528-532). IEEE.
Cheng, D., Xiang, S., Shang, C., Zhang, Y., Yang, F., & Zhang, L. (2020, April). Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, No. 01, pp. 362-369).
What is the importance of implementing a quality improvement process to reduce the incidence of the safety issue?
Nursing HomeworksNURSING
Part 2
This is the continuation of part 1 of the assignment with the transtutor ID TTs130313_11261_82 , so it will be important for the writer to refer to the solutions of that assignment as that is part one to be able to complete this section .This is due on Saturday March 23, 2013 At 10 AM EST . APA and in text citation must be used for the entire assignment , and must also include a reference list all in APA format . The similarity scores cannot be more than 15% for this assignment.
To recommend your solution to the problem, add a section of 4 pages that includes answers to the following questions:
•What is the importance of implementing a quality improvement process to reduce the incidence of the safety issue? (the transfer of secondary infections to patients while they are in treatment facilities)
•What would be a method of application of the quality process to the safety issue?
•What Quality & Safety Education for Nurses (QSEN) standards are met by the implementation of this method?
•Present your work in a scholarly manner, using APA format.
Health Facilities
UncategorizedAssignment 1: Critical Factors in Implementing an IT System in Health Facilities
Due Week 6 and worth 300 points
Write a six to eight (6–8) page paper in which you:
Your assignment must follow these formatting guidelines:
The specific course learning outcomes associated with this assignment are:
Ecology paper
Nursing HomeworksEcology paper
Sheet1
>Management homework help
UncategorizedIt is important that you have the opportunity to dig deeper in your study of organizational behavior, extending your
understanding of issues and developments in the field and implications of these on managerial practice. Grounded in
original research and reflection, address one or more important societal or organizational trends (such as IT, greening and
environmental consciousness, demographic trends, workforce diversity, workforce violence, outsourcing, ethics,
telecommuting, use of temps and contract workers, virtual teams, etc.) and implications on organizational functioning,
teamwork, and leadership. Focus your research on an area of personal interest and discuss practical significance and
implications of societal and organizational developments for organizational behavior and managerial practice. There is a 10-
page maximum limit imposed, however, use only as many pages as are really necessary to effectively present/communicate
clearly and concisely.
The specific outcomes associated with this assignment are:
a). Understand the basic theories, concepts and practices in organizational behavior available to the practicing manager.
b). Examine the dynamics of human behavior in organizational settings.
c). Develop skills in the management of organizations through understanding the interactions of basic organizational
variables.
d). Communicate clearly and concisely about strategic management using proper writing mechanics.
Does repositioning of bed bound patients every two hours decrease the risk of pressure ulcer versus repositioning every 5 hours?
Nursing Essay HelpExplain the parts of the program evaluation, and how one would carry out a program evaluation
Nursing HomeworksEVALUATION AS A KEY TOOL IN HEALTH AND HUMAN SERVICES.
Evidence-based practice utilizes a variety of research methods to gather evidence as to the efficacy of a program’s effectiveness, or cost effectiveness. According to your text, “Sound research and its applications, although not guarantees of perfect policies and programs, are extremely useful tools in developing sound social policies and programs” (p. 281). Additionally, we read that evaluation research is different from “basic” research in that evaluation research is based on reality factors in the field and can answer the question: Is this program achieving its goals within the cost estimates?
In this assignment, you will create a fictional “how to” guide in which you will analyze the steps pertinent to effective program assessment. Specifically, you will:
Explain the parts of the program evaluation, and how one would carry out a program evaluation.
Explain the steps of the program evaluation and what the program evaluator would want to measure / evaluate.
Your fictional “how to” guide is intended to provide a step-by-step explanation of the components related to evaluating programs; you will not be conducting an assessment as part of the assignment. An example of a program evaluation and the research format is given in the Evaluation Strategies for Human Service Programs (Links to an external site.)Links to an external site.. Your example can be any of the typical health and services areas including: hospitals, nursing homes, clinic for substance abuse, counseling clinics, Salvation Army, Red Cross, homes for the homeless, special school programs, crisis centers and social support. Program evaluation can include a variety of different research approaches and may also include acquiring a great deal of data. As you read the article Introduction to Program Evaluation for Public Health Programs: A Self-Study Guide (Links to an external site.)Links to an external site., keep in mind the information requirements to carry out a program evaluation. Certainly the connections among program outcomes, the activities of the program, and consequential outcomes constitute the key model of any program evaluation. Access the Introduction to Program Evaluation for Public Health Programs: A Self-Study Guide (Links to an external site.)Links to an external site. for more information for this assignment.
DOES YOUR APPLICATION OF THE GUIDING PRINCIPLES DIFFER DEPENDING ON THE POPULATION THAT YOU CARE FOR
Nursing HomeworksDOES YOUR APPLICATION OF THE GUIDING PRINCIPLES DIFFER DEPENDING ON THE POPULATION THAT YOU CARE FOR?