Search Results - (( web application tree algorithm ) OR ( its application stemming algorithm ))*

Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm by Ibrahim, Hamidah, Yasin, Waheed, Abdul Hamid, Nor Asilah Wati, Udzir, Nur Izura

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An optimized attack tree model for security test case planning and generation by Omotunde, Habeeb, Ibrahim, Rosziati, Ahmed, Maryam

“…This paper presents an attack tree modeling algorithm for deriving a minimal set of effective attack vectors required to test a web application for SQL injection vulnerabilities. …”
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Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems by Ibrahim, Hamidah, Yasin, Waheed, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

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A Data Mining Approach to Construct Graduates Employability Model in Malaysia by Myzatul Akmam Sapaat, Aida Mustapha, Johanna Ahmad, Khadijah Chamili, Rahamirzam Muhamad

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Car dealership web application by Yap, Jheng Khin

“…In this project, a web application and a web service were proposed and implemented. …”
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Pashto language stemming algorithm by Aslamzai, Sebghatullah, Saidah Saad

“…Therefore, the objective of the current thesis is to develop a rule-based stemming algorithm for the Pashto language. The Pashto corpus is directly used as the input and the stemming algorithm uses both inflectional and derivational morphemes. …”
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An improved framework for content and link-based web spam detection: a combined approach by Shahzad, Asim

“…The content-based web spam detection framework uses three proposed and two improved content-based algorithms for web spam detection. …”
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A data mining approach to construct graduates employability model in Malaysia by Sapaat, Myzatul Akmam, Mustapha, Aida, Ahmad, Johanna, Chamili, Khadijah, Muhamad, Rahamirzam

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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment by Rajoo, S, Magalingam, P, Idris, NB, Samy, GN, Maarop, N, Shanmugam, B, Perumal, S

Cyberbullying detection: a machine learning approach by Yeong, Su Yen

“…Machine learning is a hot topic and it is widely implemented in software, web application and more. Those algorithms are used in the classification or regression model to predict an input. …”
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Stemming Hausa text: using affix-stripping rules and reference look-up by Andrew Bimba, Norisma Idris, Norazlina Khamis, Nurul Fazmidar Mohd Noor

“…Stemming is a process of reducing a derivational or inflectional word to its root or stem by stripping all its affixes. …”
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Defect green coffee bean detection using image recognition and supervised learning by Shafian Izan Sofian

“…The model was integrated as web application with Flask where user can upload the image and the system will return result with precision and prediction. …”
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Stemming Hausa text: using affix-stripping rules and reference look-up by Bimba, A.T., Idris, N., Khamis, N., Mohd Noor, N.F.

“…Stemming is a process of reducing a derivational or inflectional word to its root or stem by stripping all its affixes. …”
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An Automated System For Classifying Conference Papers by Ngan, Seon Choon Han

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Content-based recommender system for an academic social network / Vala Ali Rohani by Vala Ali, Rohani

“…The algorithm exploits all interests and preferences in a hierarchy tree structure. …”
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making by Zun, Liang Chuan, Nursultan Japashov, Soon, Kien Yuan, Tan, Wei Qing, Noriszura Ismail

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Comparative study of machine learning algorithms in data classification by Tan, Kai Jun

“…The results will help with real-world data mining applications of machine learning and be a useful guide for further study and practical applications.…”
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Malay-language stemmer by Sankupellay, Mangalam, Valliappan, Subbu

“…Stemming is the removal of affixes (prefixes and suffixes) in a word in order to generate its root word. …”
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Bahasa Melayu Stemmer / Subbu Valliappan by Subbu , Valliappan

“…This Stemmer has a wide variety of applications and it caters for a vast age group. It is expected that when this system is developed and fully utilized, it will benefit its users and customers tremendously withh all of its powerful features. …”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.] by Saad, Nor Liza, Khairudin, Nurkhairizan, Azizan, Azilawati, Abd Rahman, Abdullah Sani, Ibrahim, Roslina

“…Based on usability study, most users agreed that the tourist mobile application is easier and useful for them. From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. …”
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