Search Results - (( data competency _ algorithm ) OR ( java implication based algorithm ))
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A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
Published 2025“…There are several stages in developing a KMS, namely compiling data requirements for the four lecturer competencies: pedagogical competency, professional competency, personality competency, and social competency. …”
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Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
Published 2016“…Consequently, a competent imputation algorithm for missing data treatment algorithm is very much needed. …”
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Determination of the best single imputation algorithm for missing rainfall data treatment
Published 2016“…Consequently, a competent imputation algorithm for missing data treatment algorithm is very much needed. …”
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Academic leadership bio-inspired classification model using negative selection algorithm
Published 2015“…In the experimental phase, academic leadership competency data were collected from a selected higher learning institution as training data-set based on 10-fold cross validation. …”
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Statistical process control for failure crushing time data using competing risks model.
Published 2011“…This paper describes a Statistical Process Control (SPC) for failure crushing time data using competing risks model. The model is based on the widely known proportional hazard regression model for a variety of censoring. …”
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Statistical process control for failure crushing time data using competing risks model
Published 2011“…This paper describes a Statistical Process Control (SPC) for failure crushing time data using competing risks model. The model is based on the widely known proportional hazard regression model for a variety of censoring. …”
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A near-optimal centroids initialization in K-means algorithm using bees algorithm
Published 2009“…This creates problem for novice users especially to those who have no or little knowledge on the data.Trial-error attempt might be one of the possible preference to deal with this issue.In this paper, an optimization algorithm inspired from the bees foraging activities is used to locate near-optimal centroid of a given data set.Result shows that propose approached prove it robustness and competence in finding a near optimal centroid on both synthetic and real data sets.…”
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Competing risks for reliability analysis using Cox’s model
Published 2007“…Originality/value – A modification of the two competing risk models has mostly been applied in failure time data and simulation data. …”
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Cutpoint determination methods in competing risks subdistribution model
Published 2009“…Thus, we consider the problem of obtaining a threshold value of a continuous covariate given a competing risk survival time response using a binary partitioning algorithm as a way to optimally partition data into two disjoint sets. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Cutpoint determination methods in competing risks subdistribution model
Published 2009“…Thus, we consider the problem of obtaining a threshold value of a continuous covariate given a competing risk survival time response using a binary partitioning algorithm as a way to optimally partition data into two disjoint sets. …”
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Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications
Published 2018“…Several numerical techniques compete to fit the curves of empirical data such as wind, solar, and demand power rates. …”
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Multiple equations model selection algorithm with iterative estimation method
Published 2016“…A good model is a model that encapsulates the initial process and therefore represents a close estimate to the true model that generated the data.However, whenever there is more than one model to be considered, selection decision needs to be based on its competence to generalize, which is defined as a model’s ability to fit not only current data but also to forecast future data. …”
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Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…Information about chili pests is collected so that it becomes a database that can be used to identify disease pests using the data mining method. The use of data mining algorithms is expected to help in the identification of pests and diseases in chili plants. …”
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A Penalty-Based Genetic Algorithm For The Composite Saas Placement Problem In The Cloud
Published 2010“…However, existing applications' placement methods in data centres are not concerned with the placement of the component's data. …”
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Assessing the level of competence in automated trading among Malaysian traders
Published 2023“…The objective of this research is to figure out the level of competence that Malaysian retail traders have in Automated or Algorithmic Trading (AT) focusing on currency trading. …”
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Capabilities and competencies related to leadership performance effectiveness in the context of change in Malaysian Higher Education Institutions / Majid Ghasemy
Published 2017“…More than 400 surveys were collected, among which only 368 surveys were appropriate for data analysis. Next, IBM SPSS Statistics 23 was used for data screening and descriptive analysis whereas SmartPLS 3 was employed to develop a few models for the contribution of capabilities and competencies to leadership performance in Malaysian academic settings. …”
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An evaluation of feature selection technique for dendrite cell algorithm
Published 2014“…In single evaluation metrics, the chi square technique has the best competence in term of sensitiveness while the rough set genetic algorithm reduct is good at specificity and accuracy. …”
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