Search Results - (( _ implementation developing algorithm ) OR ( program implementation mining algorithm ))
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Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak
Published 2021“…A classifier model is developed using Naive Bayes characteristics. A comparison between built-in Scikit Learn Naive Bayes algorithm, and the scratch Naive Bayes algorithm is used to measure its effectiveness in terms of accuracy. …”
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…The objective of this study is to suggest the potential classification model for talent forecasting throughout some experiments using SVM learning algorithm. In the experimental phase, we use employee’s performance data from selected organization to develop talent classification model which can be used to handle some tasks in talent management. …”
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Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat
Published 2012“…In order to achieve the main objective, five phases of methodology was been implemented which are preliminary study, data preparation, model development, model evaluation & prototype development and last but not list is documentation. …”
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Web page design for electronic commerce / Lee Fong Wai
Published 2003“…Through the project objectives and analysis conducted on the available technologies, the requirements of the system (functional and nonfunctional requirements, hardware and software requirements) were identified and the overall design of the system was developed. The sixth part covers the system implementation that involved the transformation of modules and algorithm into implementable commands by using the specified programming languages. …”
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Development of a Web Access Control Technique Based User Access Behavior
Published 2004“…The necessary steps for the proposed technique are identified, and algorithms of these steps are developed and implemented using Active Server Page (ASP) and then tested on two web pages. …”
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Improving Extreme Programming Framework With Security Concerns For E-Commerce Applications
Published 2024thesis::doctoral thesis -
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Data mining techniques for transformer failure prediction model: A systematic literature review
Published 2023Conference Paper -
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Case Slicing Technique for Feature Selection
Published 2004“…Finding a good classification algorithm is an important component of many data mining projects. …”
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Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure
Published 2014“…The other 40% of the dataset is used to test generated rules. A simple program of C++ is implemented using Microsoft Visual Studio to test generated rules until accuracy of performance is obtained. …”
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Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…In this research, a hand-written character recognition model are implemented in C++ programming with ability to classify digits 0, 1, 2, and 3. …”
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Dynamic investment model for the restructed power market in the presence of wind source
Published 2014“…In the third step, the long term optimal investment strategies of the hybrid wind-thermal investor are determined based on the dynamic programming algorithm by considering the long term states of demand growth and fuel price uncertainties. …”
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Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining
Published 2025“…No previous study has investigated Orange mining tool as visual programming approach in analysing hyperspectral reflectance data, especially in crop disease detection. …”
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Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…The objective was to identify and implement the most accurate algorithm for the KPTM dataset and to come up with a good prediction model using decision tree technique. …”
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Propositional satisfiability method in rough classification modeling for data mining
Published 2002“…Two models, Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) to represent the minimal reduct computation problem were proposed. …”
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15
The discovery of Top-K DNA frequent patterns with approximate method / Nittaya Kerdprasop and Kittisak Kerdprasop
Published 2014“…These representatives are subsequently used in the main process of frequent pattern mining. Our designed algorithm had been implemented with the Erlang language, which is the functional programming paradigm with inherent support for pattern matching. …”
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Problem restructuring in interger programming for reduct searching
Published 2003“…They can describe the whole information system when implementing discernment. In effect, they are very useful in generating rules when solving the classification problem that is inherent in data mining. …”
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Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…The aim of the thesis is to provide an overview of the ABS encryptiOn algorithm, to develop a prototype that is implemented for communication purpose, and to test the developed prototype in terms of accuracy purpose. …”
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Undergraduates Project Papers -
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman
Published 2012“…SDLC consists of analysis, design, implementation, testing and documentation phase. Backtracking algorithm are implemented in the implementation phase. …”
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