Essays about: "Self- Organizing Map"
Showing result 1 - 5 of 20 essays containing the words Self- Organizing Map.
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1. Forecasting With Feature-Based Time Series Clustering
University essay from Jönköping University/Tekniska HögskolanAbstract : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. READ MORE
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2. Geophysical Data from Norrbotten, Sweden - Evidence for the Presence of a Crustal Scale Fault?
University essay from Luleå tekniska universitet/Geovetenskap och miljöteknikAbstract : The method of combining multiple geophysical, geological, or geochemical datasets can reveal patterns of otherwise hidden features in the Earth’s crust. This may aid in geological mapping, locating economic mineral deposits and for general anomaly/feature detection. READ MORE
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3. Classification Models for Activity Recognition using Smart Phone Accelerometers
University essay from Umeå universitet/StatistikAbstract : The huge amount of data generated by accelerometers in smartphones creates new opportunities for useful data mining applications. Machine Learning algorithms can be effectively used for tasks such as the classification and clustering of physical activity patterns. READ MORE
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4. Diagnosis of Synoptic Weather Patterns Causing Heavy Rainfall Occurrence Using Self-Organizing Maps
University essay from Lunds universitet/Avdelningen för Teknisk vattenresursläraAbstract : The annual number of events with precipitation over 50 mm/h have increased from 1970s and this trend is likely to be continued due to climate change in Kyushu, Japan. Therefore, it is important to recognize what kind of meteorological fields have contributed to the occurrence of heavy rainfall events and to reveal whether it is possible to diagnose heavy rainfall risk. READ MORE
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5. Unsupervised Anomaly Detection and Root Cause Analysis in HFC Networks : A Clustering Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Following the significant transition from the traditional production industry to an informationbased economy, the telecommunications industry was faced with an explosion of innovation, resulting in a continuous change in user behaviour. The industry has made efforts to adapt to a more datadriven future, which has given rise to larger and more complex systems. READ MORE
