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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…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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Mining Sequential Patterns using I-PrefixSpan
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Generalized Triad Design Algorithms
Published 2012“…In addition, new constructions for the starter of a compatible factorization on v objects, a SCF(v), and new algorithms for a CF(v) was developed. …”
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Development of New Genetic Algorithm Software for Blow Mould Process
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Spacecraft attitude control: development and application of new algorithms
Published 2012“…The main goal of the research is to collect and develop new attitude algorithms that build up the different scenarios acted by a spacecraft starting from the orbit injection phase. …”
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Development of Algorithm for QoS Model in Cloud Computing
Published 2021“…Then, we simulate them, get the results and discuss results for all algorithms. After that, we will develop our new algorithm for the QoS Model. …”
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New Generalized Algorithm for Developing k-Step Higher Derivative Block Methods for Solving Higher Order Ordinary Differential Equations
Published 2018“…This new algorithm utilizes the concept from the conventional Taylor series approach of developing linear multistep methods.Certain examples are given to show the simplicity involved in the usage of this new generalized algorithm.…”
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Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji
Published 2018“…In this study, 227 volumes of brain CT images were used to develop and validate the CAD. The new develop algorithm is set to register image of brain patient in order to determine the rotation angle for brain realignment. …”
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Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation
Published 2016“…Reference [1] proposed a new algorithm, called New Improved Round Robin (NIRR) to enhance the Round Robin scheduling algorithm. …”
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Improvement and performance analysis on statistical selection algorithms
Published 2006“…This new algorithm is developed based on the simulation of the real multicast environment. …”
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Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation
Published 2015“…(Abdulrahim et al., 2014) proposed a new algorithm, called New Improved Round Robin (NIRR) to enhance the Round Robin scheduling algorithm. …”
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Development of a new algorithm for segmentation of flotation froth images
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Development of a new method of crack modeling and prediction algorithm
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The main contribution of this research is developing statistical approaches, and introducing new algorithms and resampling methods for analysing interval-censored data through AFT models.…”
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…Generally, the average results indicates that the newly developed algorithm retrieved better than original MABSA in finding a minimum point which increment 5.833% better than original MABSA, and new algorithm retrieved 5.204% more better than global optimum value. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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