Sökning: "Time-Series Representation"

Visar resultat 1 - 5 av 31 avhandlingar innehållade orden Time-Series Representation.

1. 1. Modeling time-series with deep networks

   Författare :Martin Längkvist; Amy Loutfi; Lars Karlsson; Tapani Raiko; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; multivariate time-series; deep learning; representation learning; unsupervised; Information technology; Informationsteknologi;

   Sammanfattning : .... LÄS MER

3. 2. Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning

   Författare :Zainab Abbas; Vladimir Vlassov; Peter Van Roy; Paris Carbone; Vasiliki Kalavri; Vincenzo Massimiliano Gulisano; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stream processing; graph processing; time series; big data; machine learning; Informations- och kommunikationsteknik; Information and Communication Technology;

   Sammanfattning : Recent years have witnessed a massive increase in the amount of data generated by the Internet of Things (IoT) and social media. Processing huge amounts of this data poses non-trivial challenges in terms of the hardware and performance requirements of modern-day applications. LÄS MER

4. 3. Data Abstraction and Pattern Identification in Time-series Data

   Författare :Prithiviraj Muthumanickam; Matthew Cooper; Katerina Vrotsou; Aida Nordman; Jimmy Johansson; Anders Ynnerman; Silvia Miksch; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Data sources such as simulations, sensor networks across many application domains generate large volumes of time-series data which exhibit characteristics that evolve over time. Visual data analysis methods can help us in exploring and understanding the underlying patterns present in time-series data but, due to their ever-increasing size, the visual data analysis process can become complex. LÄS MER

5. 4. Goodness-of-fit in Multivariate Time Series

   Författare :Huong Nguyen Thu; Campus de Getafe Facultad de Ciencias Sociales y Jurıdicas Department of Statistics Universidad Carlos III de Madrid; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Economics; Nationalekonomi;

   Sammanfattning : Goodness-of-fit is an important task in time series analysis. In this thesis, wepropose a new family of statistics and a new goodness-of-fit process for the wellknownmultivariate autoregressive moving average VARMA(p,q) model.Some preliminary results are studied first for an initial goodness-of-fit method. LÄS MER

7. 5. Data Mining and Analysis for Characterizing Paper from On-line Multisensor Measurements

   Författare :Marcus Ejnarsson; Adas Gelzinis; Högskolan i Halmstad; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Feature Extraction; Kernel Based Novelty Detection; Kernel CCA; Monitoring; Newsprint; Paper Web; Time-Series Representation; TECHNOLOGY; TEKNIKVETENSKAP;

   Sammanfattning : The objective of this thesis is to develop a multi-resolution tool for screening paper formation variations, aiming to detect abnormalities in various frequency regions ranging from millimeters to several meters. The abnormalities detected in different frequency regions give an indication for the paper maker about specific disturbances in the paper production process. LÄS MER