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1
Optimized clustering with modified K-means algorithm
Published 2021“…Besides, some real data sets were examined to validate the proposed algorithm. …”
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2
A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm requires two inputs for it to be applied onto a data set, the value K, and a proximity measure. …”
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3
The new efficient and accurate attribute-oriented clustering algorithms for categorical data
Published 2012“…Four real-life data sets obtained from University of California Irvine (UCI) machine learning repository and ten synthetically generated data sets are used to evaluate MGR and IG-ANMI algorithms, and other four algorithms are used to compare with these two algorithms. …”
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4
Logistic regression methods for classification of imbalanced data sets
Published 2012“…Classification of imbalanced data sets is one of the important researches in Data Mining community, since the data sets in many real-world problems mostly are imbalanced class distribution. …”
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5
Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…We improved the ID3 decision tree algorithm such that it can be utilized on spatial data in order to develop a classification model for hotspots occurrence. …”
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6
Ant system with heuristics for capacitated vehicle routing problem
Published 2013“…Preliminary computational experiments testing on a range of benchmark data set were conducted to find the appropriate set of parameters for the developed ASH. …”
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Thesis -
7
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
8
An algorithm for Elliott Waves pattern detection
Published 2018“…Under several different algorithm settings, several EW pattern sets are obtained. …”
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9
An algorithm for Elliott Waves pattern detection
Published 2018“…Under several different algorithm settings, several EW pattern sets are obtained. …”
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10
Chebyshev approximation of discrete polynomials and splines
Published 2004“…The output of the algorithm is a set of extreme points that can be used to construct a minimal error approximation function. …”
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11
Chebyshev approximation of discrete polynomials and splines
Published 2004“…The output of the algorithm is a set of extreme points that can be used to construct a minimal error approximation function. …”
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Thesis -
12
New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Two different models for learning in data sets were proposed based on two different reduction algorithms. …”
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13
COVID-19 DATA EXPLORATION USING MAPPER ALGORITHM
Published 2023“…To investigate and capture the development of the pandemic, mapper algorithm can be used to visualize and analyse the COVID data set provided by the government. …”
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Final Year Project Report / IMRAD -
14
A heuristic approach for finding similarity indexes of multivariate data sets
Published 2020“…Multivariate data sets (MDSs), with enormous size and certain ratio of noise/outliers, are generated routinely in various application domains. …”
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15
Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…Thus, this study proposes the development of algorithms to detect and classify jamming attacks using a set of parameters on the physical layer and MAC in MANET. …”
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Thesis -
16
SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…The SURE-Autometrics is also validated using two sets of real data by comparing the forecast error measures with five model selection algorithms and three non-algorithm procedures. …”
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17
Direct approach for mining association rules from structured XML data
Published 2012“…The experiments were conducted on self generated data sets (7 different sets) and well known datasets (Mushroom & Cars Data set). …”
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Thesis -
18
Numerical Integration And Data Reduction For Application In Photometry
Published 2003“…In this thesis, an algorithm based on a local interpolation scheme called the Average Angle Method was developed for numerical integration and data reduction of photometric data, and in general, for any data set sharing similar characteristics as the luminous intensity data The new interpolation scheme interpolates discrete data with piecewise cubic polynomials having a CI continuity in the interior. knots. …”
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19
Data discovery algorithm for scientific data grid environment
Published 2005“…By using this model, we study various discovery algorithms for locating data sets in a data grid system. …”
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20
Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…AC complement algorithm was used to compare the different in each set of data. …”
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