Essays about: "Contextual Time Series"
Showing result 1 - 5 of 13 essays containing the words Contextual Time Series.
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1. SAX meets Word2vec : A new paradigm in the time series forecasting
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The purpose of this thesis was to investigate whether some successful ideas in NLP, such as word2vec, are applicable to time series prob- lems or not. More specifically, we are interested to assess a combina- tion of previously proven methods such as SAX and Word2vec. READ MORE
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2. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. READ MORE
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3. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE
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4. LSTM Feature Engineering Through Time Series Similarity Embedding
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. READ MORE
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5. Unsuperised Anomaly Detection : Methods and Application on Solvency 2 Technical Provisions
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This thesis work examines anomaly detection methods on large data sets related to insurance funds. Starting from requirements of low time complexity, ease of implementation and thorough definitions of contextual- and collective anomalies, different modelling frameworks are examined. READ MORE
