An Approach to Extend WSDL-Based Data Types Specification to Enhance Web Services Understandability

Alshraiedeh, Fuad; Hanna, Samer; Alazaidah, Raed

doi:10.14569/ijacsa.2015.060314

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…It employs a greedy search technique to determine the optimal collection of rules covering most situations while minimizing the number of rules. CN2 is a basic and interpretable model that works well with small datasets, but in some instances, it may not be as precise as other models [30]. Constant: The constant model is a model that always predicts the same class label for all instances.…”

Section: A Machine Learning Algorithmsmentioning

confidence: 99%

Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals

Al-Batah,

Alzboon,

Alazaidah

2023

IJACSA

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Heart disease is the leading cause of mortality worldwide. Early identification and prediction can play a crucial role in preventing and treating it. Based on patient data, machine learning techniques may be used to construct cardiac disease prediction models. This work aims to investigate the usage of machine learning models for heart disease prediction utilizing a publicly available dataset. The dataset contains patient information on clinical and demographic characteristics and the presence or absence of cardiac disease. Based on classification performance, many machine learning methods were tested and compared. The findings reveal that machine learning models can predict cardiac disease with accuracy and AUC values. Furthermore, the developed system is used to examine some Jordanian patients, and the predictions of the results are satisfactory. The study's findings might have far-reaching consequences for the early identification and prevention of heart disease, as well as for improving patient outcomes and lowering healthcare expenditures.

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Section: A Machine Learning Algorithmsmentioning

confidence: 99%

Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals

Al-Batah,

Alzboon,

Alazaidah

2023

IJACSA

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“…SBS has changed the way software systems are developed, published and consumed (Alshraiedeh et al , 2015; Palma et al , 2015). For example, companies such as Google, Facebook, Netflix, eBay, LinkedIn, Foursquare and Instagram have made their WS public to external users for their use (Ma et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

A URI parsing technique and algorithm for anti-pattern detection in RESTful Web services

Alshraiedeh

Katuk

2020

IJWIS

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Purpose Many REpresentational State Transfer (RESTful) Web services suffered from anti-patterns problem, which may diminish the sustainability of the services. The anti-patterns problem could happen in the code of the programme or the uniform resource identifiers (URIs) of RESTful Web services. This study aims to address the problem by proposing a technique and an algorithm for detecting anti-patterns in RESTful Web services. Specifically, the technique is designed based on URIs parsing process. Design/methodology/approach The study was conducted following the design science research process, which has six activities, namely, identifying problems, identifying solutions, design the solutions, demonstrate the solution, evaluation and communicate the solution. The proposed technique was embedded in an algorithm and evaluated in four phases covering the process of extracting the URIs, implementing the anti-pattern detection algorithm, detecting the anti-patterns and validating the results. Findings The results of the study suggested an acceptable level of accuracy for the anti-patterns detection with 82.30% of precision, 87.86% of recall and 84.93% of F-measure. Practical implications The technique and the algorithm can be used by developers of RESTful Web services to detect possible anti-pattern occurrences in the service-based systems. Originality/value The technique is personalised to detect amorphous URI and ambiguous name anti-patterns in which it scans the Web service URIs using specified rules and compares them with pre-determined syntax and corpus.

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Toward Identifying The Best Base Classifier in Multi Label Classification-an Investigative Study

Alzyoud,

Alazaidah,

Alzoubi

et al. 2023

2023 24th International Arab Conference on Information Technology (ACIT)

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An Approach to Extend WSDL-Based Data Types Specification to Enhance Web Services Understandability

Cited by 7 publications

References 12 publications

Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals

Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals

A URI parsing technique and algorithm for anti-pattern detection in RESTful Web services

Toward Identifying The Best Base Classifier in Multi Label Classification-an Investigative Study

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