Search
Now showing items 25651-25660 of 28678
Email Classification Using a Self-Learning Technique Based on User Preferences
(North Dakota State University, 2015)
In the current information overloaded atmosphere with an explosive growth of textual data, one can find it a challenging task to keep all the ducks in a row. This has resulted in an emergence of many Text Classification ...
Implementation and Evaluation of CMA-ES Algorithm
(North Dakota State University, 2015)
Over recent years, Evolutionary Algorithms have emerged as a practical approach to solve hard optimization problems in the fields of Science and Technology. The inherent advantage of EA over other types of numerical ...
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 ...
Credit Card Fraud Detection Predictive Modeling
(North Dakota State University, 2020)
Finance fraud is a growing problem with consequences in the financial industry and data mining has been successfully applied to huge volume of complex financial datasets to automate and analyze credit card frauds in online ...
Project Tracker and Organizer
(North Dakota State University, 2015)
A Project Tracking and Organizer is a software tool which is a simple, fast and an efficient way to assign modules of a project to employees and track the progress of a project. Using this software, project status can be ...
A Two-phase Security Mechanism for Anomaly Detection in Wireless Sensor Networks
(North Dakota State University, 2013)
Wireless Sensor Networks (WSNs) have been applied to a wide range of application areas, including battle fields, transportation systems, and hospitals. The security issues in WSNs are still hot research topics. The constrained ...
Evaluating the Gap Between the Skills and Abilities of Senior Undergraduate Computer Science Students and the Expectations of Industry
(North Dakota State University, 2012)
A large emphasis is placed on improving student education. Every year researchers propose new teaching methods and suggest improvements to existing methods. However, recent computer science and software engineering graduates ...
Investigation of Strength Pareto Evolutionary Algorithm
(North Dakota State University, 2019)
The Strength Pareto Evaluation Algorithm (SPEA) (Zitzler and Thiele 1999) is one of the prominent technique for approximating the pareto-optimal set for the Multiple Objective Optimization (MOO) algorithm. The Strength ...
Software Inspection Team Formation Based on the Learning Style of Individual Inspectors
(North Dakota State University, 2012)
To improve the software quality, researchers have focused their effort on developing and validating effective methods of finding and fixing defects early in the development process. Software inspections are most widely ...
ReviewMiner: An Unsupervised Method of Aspect Extraction and Aspect Rating from Product Reviews
(North Dakota State University, 2013)
One major piece of information available on the web is reviews about various products that are written by users. Some commercial websites provide additional information about the products along with the reviews. However, ...