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A Machine Learning-Based web application for Heart Disease Prediction

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Intelligent Control and Automation 2024年第1期15卷 9-27页

作者： Jesse Gabriel Independent Researcher Port Moresby Papua New Guinea

This work leveraged predictive modeling techniques in machine learning (ML) to predict heart disease using a dataset sourced from the Center for Disease Control and Prevention in the US. The dataset was preprocessed and used to train five machine learning models: random forest, support vector machine, logistic regression, extreme gradient boosting and light gradient boosting. The goal was to use the best performing model to develop a web application capable of reliably predicting heart disease based on user-provided data. The extreme gradient boosting classifier provided the most reliable results with precision, recall and F1-score of 97%, 72%, and 83% respectively for Class 0 (no heart disease) and 21% (precision), 81% (recall) and 34% (F1-score) for Class 1 (heart disease). The model was further deployed as a web application.

关键词： Heart Disease US Center for Disease Control and Prevention Machine Learn-ing Imbalanced Data web application

web application Commercial Design for Financial Entities Based on Business Intelligence

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Computers, Materials & Continua 2021年第6期67卷 3177-3188页

作者： Carlos Andrés Tavera Romero Jesus Hamilton Ortiz Osamah Ibrahim Khalaf Andrea Ríos Prado COMBA I+D Research Group of Universidad Santiago de Cali Valle del CaucaColombia Closemobile R&D Telecommunications LS FuenlabradaEspaña Al-Nahrain Nanorenewable Energy Research Center in Al-Nahrain University BagdadIraq

Multiple customer data management has become a focus of attention in big *** much information is available,it does not translate into significant profitable value-added *** present a design of a commercial web application based on business intelligence that generates information on social and financial behavior of clients in an organization;with the purpose of obtain additional information that allows to get more *** app will provide a broader perspective for making strategic decisions to increase profits and reduce internal investment costs.A case in point is the financial sector,a group of financial entities were used to make measurements and test them.A design to build a web application aimed at achieving a large and ambitious goal by means of defined tools reflecting clients’business needs is *** this research,different techniques and technologies are explored,such as diagrams,frameworks,design,architecture,model entity-relationship,tables,equations,mental maps and development *** the Personal Software Process methodology and with the help of information extraction,consolidation,and visualization,the implementation can be carried *** article provides the importance of implementing business intelligence in an organization and expands on the steps needed for the implementation of this valuable technology.

关键词： Business intelligence banking application web application trend analysis decision making

Investigain:A Productive Asset Management web application

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Computer Systems Science & Engineering 2021年第8期38卷 151-164页

作者： Rabbani Rasha Mohammad Monirujjaman Khan Mehedi Masud Mohammed AAlZain Department of Electrical and Computer Engineering North South UniversityBashundharaDhaka 1229Bangladesh Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia

The Investigain is a progressive web application to make mutual funds investments through a Systematic Investment *** application utilizes the web’s modern capabilities,such as Asynchronous JavaScript and XML(AJAX),JavaScript,and Hypertext Marker Language(HTML5).The application also uses a powerful relational database management system,such as MySQL,to display asset management *** application has two portals,one for investors and one for a particular asset manager or asset management *** investor has an account in the investor *** investor can view his/her profile,current balance,balance history,dividends,the units of mutual funds bought,unit price,the value of each mutual fund,and can pay installments using an embedded online payment *** managers can monitor all investments,manage user accounts,and reimburse dividends using the admin *** paper also presents the experimental results of using the Investigain application,compares them with existing systems,and details the application’s prospect to improve its socio-economic *** system’s frontend is designed with Bootstrap and jQuery *** backend is designed using Hypertext Preprocessor(PHP)server-side scripting *** system demonstrated increased satisfaction from its clients.

关键词： Asset management mutual fund web application systematic investment plan investment web internet net asset value capital market

Support for development and test of web application:A tree-oriented model

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Journal of Shanghai University(English Edition) 2011年第5期15卷 357-362页

作者：曹旻曹真李海强 School of Computer Engineering and Science Shanghai University

Building an abstract model of the web application is the chief task of software test based on model, which is an efficient way for testing the web application. One problem with current web application test technologies is the lack of tools for modeling the whole web software, especially the lack of support for describing web application from the view of action and function. This paper is concerned with providing the support for development and test of the web application. The presented novel model, named component-based and tree-oriented web application development model （CBTOWADM）, abstracts the web application as a tree based on its system function and business process. CBTOWADM not only simplifies the design and development of the web application, but also acts as the model middleware for software test. The basic model definition, the system framework and the application in software test of CBTOWADM is described.

关键词： web application software architecture software test component

Development of Online Based Smart House Renting web application

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Journal of Software Engineering and applications 2021年第7期14卷 312-328页

作者： Dipta Voumick Prince Deb Sourav Sutradhar Mohammad Monirujjaman Khan Department of Electrical and Computer Engineering North South University Dhaka Bangladesh

The house rental issue is one of the elemental parts of society. Nowadays, it is extremely difficult to find suitable accommodation in city areas if people search for it physically. On the other hand, the land owner also needs to rent the house. It can be difficult to find tenants just to hang a lease sign on a building, and as a result, they lose money. An online common platform can play a vital role in this case. The purpose of the study is to develop a common web-based online platform for both tenants and house owners so that both tenants and landowners will mutually benefit from the system. This paper presents the development of web applications for the people of Bangladesh where both house owners and tenants can register and tenants can have houses for rent via sophisticated contact with the house owner. In this paper, a common online-based smart house rental web application has been developed both for tenants and for house owners. This web application is very user-friendly, efficient and it has got many unique features that are not offered by other currently available house rental websites here in Bangladesh. Tenants can register using their phone number, store information about their identity, search for available houses, send messages to house owners, and choose a suitable house using developed web applications. House owners can also register for the system, which will manually verify and authenticate the knowledge provided by the house owner can view a tenant’s information history whenever a tenant makes contact through text and supply house-related information accordingly. The proposed online smart house system has been tested and validated. It works very efficiently with many features. The application provided faster and improved opportunities to get houses, as well as ensuring the availability of houses for rent in the greatest number of areas. The system will help to spread trustworthy services nationwide and supply users with the chance to speak and im

关键词： web application Online Platform House Renting Smart Security Advertise Network Remote Interaction

A KCCA-based Approach for Performance Modeling of web application in Clouds

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A KCCA-based Approach for Performance Modeling of Web Applic...

Aweb application Fingerprint Recognition Method Based on Machine Learning

2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Haiyan Wang 1 2 Mingfa Zhu 1 2 Zhenzhong Zhang 1 2 Bin Zhao 1 2 Limin Xiao 1 2 Li Ruan 1 2 1.State Key Laboratory of Software Development Environment 2.School of Computer Science and Engineering Beihang University Beijing China

Cloud computing which services in a pay-as-you-go manner to the users transparently,is a newly execution ***,the complex and dynamic relationships between application workload and performance and resource consumptions make it difficult to manage the resources in the *** modeling provides the ability to predict the performance of application and resource *** this paper,we describe a dimensionality reduction algorithm called Kernel Canonical Correlation Analysis （KCCA） to predict the performance and resource consumptions of web application in the cloud computing *** approach provides much more expressiveness in capturing similarity and its correlations can then be used to quantify performance *** KCCA,we build a single model for multiple performance metrics and reduce the dimensionality of both the workload and *** we detail the effectiveness of the approach using example data gathered from production *** performance evaluation results demonstrate that our methodology could effectively predict the performance of web applications.

关键词： performance model KCCA web application cloud computing

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 887-906页

作者： Yanmei Shi Wei Yu Yanxia Zhao Yungang Jia School of Integrated Circuit Science and Engineering Tianjin University of TechnologyTianjin300382China College of International Business Zhejiang Yuexiu UniversityShaoxing312030China School of Public Administration Zhejiang Gongshang UniversityHangzhou310018China Tianjin Branch of National Computer Network Emergency Response Technical Team/Coordination Center of China Tianjin300100China

web application fingerprint recognition is an effective security technology designed to identify and classify web applications,thereby enhancing the detection of potential threats and *** fingerprint recognition methods,which rely on preannotated feature matching,face inherent limitations due to the ever-evolving nature and diverse landscape of web *** response to these challenges,this work proposes an innovative web application fingerprint recognition method founded on clustering *** method involves extensive data collection from the Tranco List,employing adjusted feature selection built upon Wappalyzer and noise reduction through truncated SVD dimensionality *** core of the methodology lies in the application of the unsupervised OPTICS clustering algorithm,eliminating the need for preannotated *** transforming web applications into feature vectors and leveraging clustering algorithms,our approach accurately categorizes diverse web applications,providing comprehensive and precise fingerprint *** experimental results,which are obtained on a dataset featuring various web application types,affirm the efficacy of the method,demonstrating its ability to achieve high accuracy and broad *** novel approach not only distinguishes between different web application types effectively but also demonstrates superiority in terms of classification accuracy and coverage,offering a robust solution to the challenges of web application fingerprint recognition.

关键词： web application fingerprint recognition unsupervised learning clustering algorithm feature extraction automated testing network security

Development of Player-Friendly web-Based Golf League Management application

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Journal of Software Engineering and applications 2022年第3期15卷 59-74页

作者： Devin Staton Jeremy Bellah Division of Management Information Systems Price College of Business The University of Oklahoma Norman OK USA

Golf is played by millions around the world because of its accessibility to all age groups and the social nature of competition. One of the most popular ways to play with peers is through recurring league competitions. However, league play requires extensive management because of the information handling and coordination involved. This paper presents the development of a web application which facilitates league management by automating and consolidating management processes. Using this application, golfers can easily create and join leagues of peers, store player information, organize competitions, and update scores throughout play. While some golf league applications already exist, none of these alternatives provide sufficient flexibility and automation at no cost. To address this need, the presented application enables the simultaneous management of multiple leagues and courses. The application also automatically generates teams for each competition based on player handicaps. To reduce management workload, responsibilities are distributed amongst all players and scores can be input and viewed live. While existing alternatives address some of these needs, there are none which provide all these features on one platform. By automating these processes and consolidating them into one application, golfers will be able to focus on the competitive and social experience of their leagues.

关键词： Golf Sports Competition League web application

URMG: Enhanced CBMG-Based Method for Automatically Testing web applications in the Cloud

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Tsinghua Science and Technology 2014年第1期19卷 65-75页

作者： Xiaolin Xu Hai Jin Song Wu Lixiang Tang Yihong Wang Services Computing Technology and System Lab and Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology

To satisfy the rapid growth of cloud technologies, a large number of web applications have been developed and deployed, and these applications are being run in clouds. Due to the scalability provided by clouds, a single web application may be concurrently visited by several millions or billions of users. Thus, the testing and performance evaluations of these applications are increasingly important. User model based evaluations can significantly reduce the manual work required, and can enable us to determine the performance of applications under real runtime environments. Hence, it has become one of the most popular evaluation methods in both industry and academia. Significant efforts have focused on building different kinds of models using mining web access logs, such as Markov models and Customer Behavior Model Graph （CBMG）. This paper proposes a new kind of model, named the User Representation Model Graph （URMG）, which is built based on CBMG. It uses an algorithm to refine CBMG and optimizes the evaluations execution process. Based on this model, an automatic testing and evaluation system for web applications is designed, implemented, and deployed in our test cloud, which is able to execute all of the analysis and testing operations using only web access logs. In our system, the error rate caused by random access to applications in the execution phase is also reduced, and the results show that the error rate of the evaluation that depends on URMG is 50% less than that which depends on CBMG.

关键词： cloud web application performance evaluation customer behavior user representation