Essays about: "tree classifier"
Showing result 21 - 25 of 49 essays containing the words tree classifier.
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21. Flight Sorting Algorithm Based on Users’ Behaviour
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The model predicts the best flight order and recommend best flight to users. The thesis could be divided into the following three parts: Feature choosing, data-preprocessing, and various algorithms experiment. READ MORE
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22. Ensemble Learning Applied to Classification of Malignant and Benign Breast Cancer
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this study, we show how ensemble learning can be useful for the future of breast cancer diagnosis. The chosen ensemble learning method was bagging, which made use of the classifiers Support Vector Machine (SVM), Decision Tree (DT) and Naive Bayes (NB) in order to classify mammograms as benign or malignant. READ MORE
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23. Predicting security vulnerabilities using software code metrics
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : The use of open-source systems in software development is more of a general practice in firms, institutions and large enterprises. Such systems produce and oper- ate on a large amount of enterprise data. Thus the protection of the access, integrity and confidentiality of enterprise information assets is of high importance. READ MORE
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24. Anomaly-based intrusion detection using Tree Augmented Naive Bayes Classifier
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the rise of information technology and the dependence on these systems, it becomes increasingly more important to keep the systems secure. The possibility to detect an intrusion with intrusion detection systems (IDS) is one of multiple fundamental technologies that may increase the security of a system. READ MORE
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25. Predicting the Movement Direction of OMXS30 Stock Index Using XGBoost and Sentiment Analysis
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Stock market prediction is an active yet challenging research area. A lot of effort has been put in by both academia and practitioners to produce accurate stock market predictions models, in the attempt to maximize investment objectives. Tree-based ensemble machine learning methods such as XGBoost have proven successful in practice. READ MORE