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Performance Evaluation Metrics for Software Fault Prediction Studies
(Budapest Tech, Becsi Ut 96-B, Budapest, H-1034, Hungary, 2012)
Experimental studies confirmed that only a small portion of software modules cause faults in software systems. Therefore, the majority of software modules are represented with non-faulty labels and the rest are marked with ...
Machine Learning Based Phishing Detection from URIs
Due to the rapid growth of the Internet, users change their preference from traditional shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try to find their victims in the cyberspace ...
Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting
— Predicting the sales amount as close as to the actual sales amount can provide many benefits to companies. Since the fashion industry is not easily predictable, it is not straightforward to make an accurate prediction ...
Disease Prediction Using Weighted Artificial Immune System
The Artificial Immune System (AIS) is a computational intelligence method inspired from the human immune system, which is applied to real-world problem solving related to classification, optimization and anomaly detection ...
Flower Classification with Deep CNN and Machine Learning Algorithms
Development of the recognition of rare plant species will be advantageous in the fields such as the pharmaceutical industry, botany, agricultural, and trade activities. It was also very challenging that there is diversity ...
A tree learning approach to web document sectional hierarchy extraction
There is an increasing availability of documents in electronic form due to the widespread use of the Internet. Hypertext Markup Language (HTML) which is mostly concerned with the presentation of documents is still the most ...