Search for dissertations about: "data mining green"
Showing result 1 - 5 of 7 swedish dissertations containing the words data mining green.
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1. Extraction and Energy Efficient Processing of Streaming Data
Abstract : The interest in machine learning algorithms is increasing, in parallel with the advancements in hardware and software required to mine large-scale datasets. Machine learning algorithms account for a significant amount of energy consumed in data centers, which impacts the global energy consumption. READ MORE
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2. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining
Abstract : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. READ MORE
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3. The comfort of alignment: Mining, green steel, and killjoy desires in Sweden/Sápmi
Abstract : This dissertation deals with Swedish extractivism in Sápmi through the examples of a planned iron ore mine in Gállok/Kallak and the hydrogen-based steel transition. The main aim is to understand the trust that is placed in extraction as a means to arrive at a happy, prosperous, green future. READ MORE
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4. A Data-centric Internet of Things Framework Based on Public Cloud
Abstract : The pervasive application of Internet of Things (IoT) has been seen in many aspects in human daily life and industrial production. The concept of IoT originates from traditional machine-to-machine (M2M) communications which aimed at solving domain-specific and applicationspecific problems. READ MORE
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5. Transport and environment incentive policy instruments : effects and interactions
Abstract : This dissertation studies issues related to the evaluation of the effects and interactions of transport and environmental incentive policy instruments. Essay 1: Green cars sterilize congestion charges: a model analysis of the reduced impact of Stockholm road tolls calibrates a modal-choice model with data from the Stockholm road toll and uses it to study the sensitivity of congestion toll effects to some seemly subtle changes in the toll system design and external circumstances. READ MORE