Search Results - (( program implementation mining algorithm ) OR ( problem implementation phase algorithm ))
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Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…An Artificial Intelligence method or technique is selected to provide a solution to this problem. The cause of the shortage in supply-demand is taken to be implemented in the Genetic Algorithms optimization concepts. …”
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Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak
Published 2021“…Machine learning is an implementation of artificial intelligence (Al) that allows systems to learn and build on knowledge without being directly programmed automatically. …”
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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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Multi-objective optimisation of assembly line balancing type-e problem with resource constraints
Published 2016“…In the second phase of this research, an algorithm will be developed to optimise the problem. …”
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An enhanced Blowfish Algorithm based on cylindrical coordinate system and dynamic permutation box
Published 2014“…Thus, the objective of this research is to enhance the BA to overcome these problems. The research involved three phases, algorithm design, implementation, and evaluation. …”
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Enhancement of stemming process for malay illicit web content
Published 2012“…As conclusion, the implementation of new features in enhanced stemming algorithm can reduce the errors produce in Sembok’s stemming algorithm. …”
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A hybrid algorithm for finding shortest path in network routing.
Published 2009“…This wave gives an O( N ) steps quantum algorithm for identifying that record, where was used classical Dijkstra’s algorithm for finding shortest path problem in the graph of network and implement quantum search. …”
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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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Bipartite graph approach to course timetabling problems / Hafizah A Razak
Published 2009“…The next phase is to design and implement the prototype based on the requirements from phase three. …”
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Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Ahmad Firdaus Maliki
Published 2021“…The overview for the methodology is divided into three phases which are preliminary phase, design and implementation phase and evaluation phase. …”
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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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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This methodology consist of Requirement and Planning, Design, Construction, Testing and Implementation. In Requirement and Planning phase, the problem statement, objective and scope has been describe briefly. …”
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Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong
Published 2018“…A two phase algorithm named SIRPACO1 is proposed to solve the SIRP. …”
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loformation Retrieval - using Porter Stemming Algorithm
Published 2006“…The Porter Stemming algorithm had five phases, which in every phase have it owns rules to stripping the suffixes. …”
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Final Year Project -
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A quantum algorithm for minimal spanning tree
Published 2008“…Quantum computing algorithms are considered for several problems in graph theory. …”
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Evoluation strategy for collaborative beamforming in wireless sensor networks
Published 2013“…By implementing ES in phase synchronisation, each sensor node independently adjusts its phase perturbation size accordingly to speed up the phase synchronisation. …”
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Evolution strategy for collaborative beamforming in wireless sensor networks
Published 2013“…By implementing ES in phase synchronisation, each sensor node independently adjusts its phase perturbation size accordingly to speed up the phase synchronisation. …”
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