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Automated Detection of Acute Leukemia Using K-Means Clustering Algorithm
(North Dakota State University, 2019)
Detection of ALL can be done through the analysis of white blood cells (WBCs) called leukocytes. Usually, the analysis of blood cells is performed manually by skilled operators, have numerous drawbacks, such as slow analysis, ...
Mining Frequent Coherent Patterns from Weighted Graphs
(North Dakota State University, 2014)
Current research on network analysis; such as community detection, pattern mining and many other graph mining application mostly focus on large social or biological networks. Such experiments may find interesting patterns ...
A Map Reduce Approach of K-Means++ Algorithm with Initial Equidistant Centers
(North Dakota State University, 2015)
Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the ...
The Grid Scan Heuristic for Extending Lifetime in Wireless Sensor Networks
(North Dakota State University, 2011)
Wireless Sensor Networks, consisting of sensing devices which sense the environment and communicate information among each other, is an emergent field in wireless networking with many potential applications. Efficiency of ...
Design and Evaluation of Two Hybrid Genome Assembly Approaches Using Illumina, Roche 454, and PacBio Datasets
(North Dakota State University, 2016)
The assembly of next-generation sequencing reads is one of the most challenging and important tasks in bioinformatics. There are many different types of assembly algorithms and programs that have been developed to assemble ...
Sentiment Analysis on Twitter Data Using Different Algorithms
(North Dakota State University, 2018)
Sentiment analysis is the process of determining opinion expressed in a text, or an estimation of emotion related to the certain topic if it is negative, positive or neutral. The massive growth of social media, Twitter has ...
Deterministic Greedy Algorithms for Optimal Sensor Placement
(North Dakota State University, 2012)
A sensor is a device which can be sensitive to any physical stimulus, such as light, heat, or a particular motion, and responds with a respective impulse. A graph is an abstract representation for a set of objects of any ...
Performance Comparison of Apache Spark MLlib
(North Dakota State University, 2018)
This study makes an attempt to understand the performance of Apache Spark and the MLlib platform. To this end, the cluster computing system of Apache Spark is set up and five supervised machine learning algorithms (Naïve-Bayes, ...
Disease Similarity Using Biological Module Dysregulation Profile
(North Dakota State University, 2016)
Diseases can be grouped according to phenotypic and genotypic similarities. Gene expression and micro-RNA data paved the way to look inside the genetic coding and classify diseases accurately. Modern system biology seeks ...
Real Parameter Optimization Using Differential Evolution
(North Dakota State University, 2013)
Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach to solve hard optimization problems presented in real life. The inherent advantage of EA over other types of numerical optimization methods ...