Essays about: "KDD"
Showing result 1 - 5 of 12 essays containing the word KDD.
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1. Malicious Activity Detection in Encrypted Network Traffic using A Fully Homomorphic Encryption Method
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Everyone is in need for their own privacy and data protection, since encryption transmission was becoming common. Fully Homomorphic Encryption (FHE) has received increased attention because of its capability to execute calculations over the encoded domain. Through using FHE approach, model training can be properly outsourced. READ MORE
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2. Anomaly Detection in Networks using Autoencoder and Unsupervised Learning Methods
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : The increasing popularity of networking devices at workplaces leads to an exponential increase in the frequency of network attacks. This leads to having protected networks being more and more important. Because of the increase in network activity workplaces have started to leave anomaly detection in the hands of artificial intelligence. READ MORE
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3. Predicting Personal Taxi Destinations Using Artificial Neural Networks
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Taxi Stockholm is a Swedish taxi company which would like to improve their mobile phone application with a destination prediction feature. This thesis has created an algo- rithm which predicts a destination to which a taxi customer would like to go. The problem is approached using the KDD process and data mining methods. READ MORE
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4. Deviation occurrence analysis in a human intensive production environment by using MES data
University essay from KTH/Industriell produktionAbstract : Despite decades of automation initiatives, manual assembly still represents one of the most cost-effective approaches in scenarios with high product variety and complex geometry. It represents 50% of total production time and 20% of total production cost. READ MORE
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5. Evaluating Frameworks for Implementing Machine Learning in Signal Processing : A Comparative Study of CRISP-DM, SEMMA and KDD
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning is when a computer can learn from data and draw its own conclusions without being explicitly programmed to do so. To implement machine learning effectively and correctly, it is important to have a structured framework to follow. READ MORE
