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Evaluation of a New Bio-Inspired Algorithm: Krill Herd
(North Dakota State University, 2014)
Number of nature inspired algorithms is proposed to solve complex optimization problems. The Krill Herd algorithm is one such biologically-inspired algorithm, proposed to solve optimization problems in response to biological ...
Software Metrics Tool
(North Dakota State University, 2016)
A software metric is the measurement of a particular characteristic of a software program. These metrics are very useful for optimizing the performance of the software, managing resources, debugging, schedule planning, ...
Improved Genetic Programming Techniques For Data Classification
(North Dakota State University, 2014)
Evolutionary algorithms are one category of optimization techniques that are inspired by processes of biological evolution. Evolutionary computation is applied to many domains and one of the most important is data mining. ...
Mining Interesting Subnetworks from Graphs with Node Attributes
(North Dakota State University, 2018)
A lot of complex data in many scientific domains such as social networks, computational biology and internet of things (IoT) is represented using graphs. With the global expansion of internet, social networks had an explosive ...
Mapreduce-Enabled Scalable Nature-Inspired Approaches for Clustering
(North Dakota State University, 2014)
The increasing volume of data to be analyzed imposes new challenges to the data mining methodologies. Traditional data mining such as clustering methods do not scale well with larger data sizes and are computationally ...
Object Classification Using Stacked Autoencoder and Convolutional Neural Network
(North Dakota State University, 2016)
In the recent years, deep learning has shown to have a formidable impact on object classification and has bolstered the advances in machine learning research. Many image datasets such as MNIST, CIFAR-10, SVHN, Imagenet, ...
Evaluation of a Spark-Enabled Genetic Algorithm Applied to the Travelling Salesman Problem
(North Dakota State University, 2020)
Traveling salesman problem aims to find the shortest route. A salesman travels to each of the cities once. Genetic Algorithm is used for solving this problem, which returns the best solution found showing the distance that ...
Mining Representative Cohesive Dense Subgraphs
(North Dakota State University, 2014)
Data mining techniques have an important implication in social and biological network analysis, were we're interested in finding related complexes and communities.
A modern paradigm for solving this problem involves finding ...
NDSU Scholar: Application to Search Articles Relevant to a Research Problem
(North Dakota State University, 2015)
Because of recent development in the field of computers, there has been substantial growth in the field of online education that varies from online tutors to electronic research papers. Now days, a student can find almost ...
Region Based Data Mining on Agriculture Data
(North Dakota State University, 2015)
Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. Most relationships in spatial datasets are regional and there is a great ...