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61
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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doctoralThesis -
62
An improved quorum selection algorithm (IQSA). (c2007)
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masterThesis -
63
A hybrid graph representation for recursive backtracking algorithms
Published 2017“…The use of efficient data structures is necessary for fast graph modification modules as well as fast take-back procedures. …”
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64
(k, l)-Clustering for Transactional Data Streams Anonymization
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65
Mining airline data for CRM strategies. (c2006)
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masterThesis -
66
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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doctoralThesis -
67
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 2006“…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …”
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68
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. …”
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masterThesis -
69
Using genetic algorithms to optimize software quality estimation models
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masterThesis -
70
Simulated annealing and genetic algorithms for exam scheduling. (c1997)
Published 1997Get full text
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masterThesis -
71
Bee colony algorithm for assigning proctors to exams. (c2013)
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masterThesis -
72
A Scatter search algorithm for exam scheduling. (c2006)
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masterThesis -
73
Second-order conic programming for data envelopment analysis models
Published 2022“…Data envelopment analysis (DEA) is a widely used benchmarking technique. …”
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74
Data mining approach to predict student's selection of program majors
Published 2019“…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …”
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75
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …”
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76
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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masterThesis -
77
Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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78
Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
Published 2006“…A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. …”
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79
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The data from four commercial fields in Atlantic Canada (including Tracadie, Frank Webb, Small Scott, and Cooper fields) were utilized to achieve the goal. …”
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80
A method for optimizing test bus assignment and sizing for system-on-a-chip
Published 2017“…We present experimental results that demonstrate the effectiveness of our method while outperforming reported techniques.…”
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