Search for dissertations about: "thesis on data mining on network"
Showing result 1 - 5 of 41 swedish dissertations containing the words thesis on data mining on network.
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1. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users
Abstract : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. READ MORE
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2. Rethinking network management solutions : models, data-mining and self-learning
Abstract : Network service providers are struggling to reduce cost while at the same time improving customer satisfaction. This thesis addresses three relevant underlying challenges to achievieng these goals: - managing an overwhelming flow of low-quality alarms - understanding the structure and quality of the delivered services - automation of service configurationAll of the these add to an operator's operational costs since manual work is required in order to understand the alarm and service status as well as for configuring new services. READ MORE
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3. Mining Speech Sounds : Machine Learning Methods for Automatic Speech Recognition and Analysis
Abstract : This thesis collects studies on machine learning methods applied to speech technology and speech research problems. The six research papers included in this thesis are organised in three main areas. The first group of studies were carried out within the European project Synface. READ MORE
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4. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network
Abstract : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. READ MORE
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5. Discovering Contiguous Sequential Patterns in Network-Constrained Movement
Abstract : A large proportion of movement in urban area is constrained to a road network such as pedestrian, bicycle and vehicle. That movement information is commonly collected by Global Positioning System (GPS) sensor, which has generated large collections of trajectories. READ MORE