Search Results - (( java implementation tree algorithm ) OR ( knowledge contribution patterns algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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An algorithm for Elliott Waves pattern detection by Vantuch, T., Zelinka, I., Vasant, P.

“…Based on this knowledge, an algorithm for detection of these patterns is designed, developed and tested. …”
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An algorithm for Elliott Waves pattern detection by Vantuch, T., Zelinka, I., Vasant, P.

“…Based on this knowledge, an algorithm for detection of these patterns is designed, developed and tested. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market through Clustering Algorithms for Local Cafe Insights by Tuan Norhafizah, Tuan Zakaria, Che Ku Nuraini, Che Ku Mohd

“…Using clustering algorithms such as KMeans, KMeans with Principal Component Analysis (PCA), single linkage, complete linkage, DBScan, and DBScan in conjunction with PCA, we identify distinct customer segments based on loyalty patterns. …”
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Machine Learning Applications in Offense Type and Incidence Prediction by Balaji, R., Manjula Sanjay, Koti, Harprith, Kaur

“…By applying this algorithm, the study achieves a high level of precision in predicting various types of detrimental behavior, enabling a better understanding of their underlying patterns. …”
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APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN by SARI, YUNITA SARI

“…In our research, extraction pattern from the first module will be fed to this algorithm and is used to make the prediction of named entity candidate category. …”
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Determination of tree height based on tree crown using algorithm derived from UAV imagery / Suzanah Abdullah ... [et al.] by Abdullah, Suzanah, Tahar, Khairul Nizam, Abdul Rashid, Mohd Fadzil, Osoman, Muhammad Ariffin

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A spatial decision support system framework for optimization of cropping pattern and water resources allocation at pasargard plains, fars province, Iran by Ghasemi, Mohammad Mehdi

“…A unit response matrix groundwater model was coupled with a modified version of Genetic Algorithm (GA) in order to optimize cropping patterns and water allocation decisions. …”
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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

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Smart waste management system with IoT monitoring by Kalitazan, Sachein, Muniswaran, Suvarshan, Velan, Sheshan, Muniswaran, Suvathithan, Shah, Dhanesh

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Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration by Wang, Shujie, Li, Ning, Liu, Niwen, Habes, Mohammed

“…The adaptability of TikTok’s content curation algorithms caters to diverse age groups, contributing significantly to user satisfaction. …”
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Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

“…STDP algorithm) has learning capability in memory recall. …”
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Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia by Ajibola, Lamidi-Sarumoh Alaba

“…There are many complex factors that contribute to the incidence of dengue, for example, climatic condition, environmental factors, socioeconomic status, socio-demographic variables, human behaviour, and health belief pattern among others. …”
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Pattern extraction for programming performance evaluation using directed apriori by Mohamad Mohsin, Mohamad Farhan, Zaiyadi, Mohd Fairuz, Md Norwawi, Norita, Abd Wahab, Mohd Helmy

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Ranking-based pruning and weighted support model for gene association in frequent itemsets / Sofianita Mutalib by Mutalib, Sofianita

“…Biological domain is one of the critical areas that always seek for useful knowledge and patterns observed through available methods, including data mining. …”
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Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control by Mohd. Noor, Nurul Muthmainnah, Ahmad, Salmiah

“…Since membership functions (MFs) are generated automatically, the proposed fuzzy learning algorithm can be viewed as a knowledge acquisition tool for classification problems. …”
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Classification of stock market index based on predictive fuzzy decision tree by Khokhar, Arashid Hafeez

“…In particular, predictive FDT algorithm is based on the concept of degree of importance of attribute contributing to the classification. …”
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An automated approach to elicit and validate security requirements of mobile application by Yusop, Noorrezam

“…Mobile phone usage has continued to rise,and it is becoming more convenient for users to use mobile applications for booking hotels,conducting online transaction and online payment.In this case,secured applications are required to increase the confidence among mobile users.In order to achieve correct secure application,a correct security requirements needs to be elicited and defined.Additionally,it is also crucial for security requirements of mobile apps to fulfill basic quality attributes such as correct,consistent and complete (3Cs).However,few problems are found in eliciting security requirements for mobile apps.Firstly, most requirements engineers (RE) are identified to have less knowledge and understanding of security requirements attributes,leading to the failure of implementing the 3Cs of security requirements.Secondly,most of the elicitation and the validation of security requirements are conducted at the later stage of the development and leads to poor quality security requirements implementation which might resulted to project failure.Motivated from these problems,the objectives of this thesis are three-folds; 1) To analyze the security requirements for mobile apps, 2) To propose an approach to elicit and end-to-end validation of security requirement,and 3)To evaluate the efficacy in term of correctness and performance as well as usability of the approach.This thesis proposes a new automated approach to assist the elicitation and validation of security requirements.Here an automated tool support called MobiMEReq is also developed.For this, we have adopted Test Driven Development (TDD) methodology with semi-formalized models:i) Essential Use Cases (EUCs) and ii) Essential User Interface (EUI).We then divided our approach into two parts:1)Elicitation and 2)End-to-end validation security requirements.Further,we have developed pattern libraries to assist on the correct elicitation and validation.They are mobile Security attributes pattern library and mobile security pattern library.Then,we have constructed a new algorithm using fuzzy logic to assist on the prioritization of the test for better performance of validation.Finally,a comprehensive evaluation of the approach,comprising experiments of correctness test and usability test were conducted.Here,we have also evaluated the feedback from the industry experts especially on the usability of the automated approach and tool support.In summary,the findings of the evaluations show that our approach is able to contribute to the body of knowledge of mobile security requirements engineering especially in enhancing the performance and correctness level of security attribute elicitation and its usability for end-to-end elicitation and validation.It is found that the approach able to enhance the correctness level of the elicited security attribute compared to the manual approach,and produce correct generation of test.Then,the results of the usability test by the novice and experts show that the approach is useful in eliciting and validating security requirements at the early stage of application development and is able to ease the elicitation and validation process of security requirements of mobile apps.…”
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