Essays about: "statistical data mining for time series"

Found 5 essays containing the words statistical data mining for time series.

1. 1. Identifying Machine States and Sensor Properties for a Digital Machine Template : Automatically recognize states in a machine using multivariate time series cluster analysis

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Jakob Viking; [2021]
   Keywords : Digital twin; Digital shadow; Unsupervised learning; Cluster analysis; HDBSCAN; Chi-squared goodness of fit test;

   Abstract : Digital twins have become a large part of new cyber-physical systems as they allow for the simulation of a physical object in the digital world. In addition to the new approaches of digital twins, machines have become more intelligent, allowing them to produce more data than ever before. READ MORE

3. 2. Efficient Discovery Of Binary Stars

   University essay from Lunds universitet/Astronomi - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

   Author : Pablo Navarro Barrachina; [2020]
   Keywords : Binary Stars; Spectroscopic binary stars; SB2; Machine Learning; Data Mining; Physics and Astronomy;

   Abstract : Purpose: even in the era of exponential increase in the amount of stellar data gathered, binaries are still often overlooked in observational data due to the special handling they require. The goal of this work is to develop a method capable of automatically and efficiently identifying and extract double-lined spectroscopic binaries (SB2) from a spectroscopic survey, while being scalable and technically successful, and to identify and optimize the parameters that influence their detection. READ MORE

4. 3. Optimizing Bike Sharing System Flows using Graph Mining, Convolutional and Recurrent Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Davor Ljubenkov; [2019]
   Keywords : Data Science; Data Visualization; Bike-Sharing Systems; Graph Mining; Time Series Prediction; Machine Learning; Deep Learning; Recurrent Neural networks; Convolutional Neural Networks; Shareable Cities; Urban Informatics;

   Abstract : A Bicycle-sharing system (BSS) is a popular service scheme deployed in cities of different sizes around the world. Although docked bike systems are its most popular model used, it still experiences a number of weaknesses that could be optimized by investigating bike sharing network properties and evolution of obtained patterns. READ MORE

5. 4. Spatio-temporal Traffic Flow Prediction

   University essay from KTH/Geoinformatik

   Author : Mesele Atsbeha Gebresilassie; [2017]
   Keywords : ITS; principal component analysis; spatio-temporal traffic flow; spatially weighted regression; traffic flow prediction; support vector machine for regression;

   Abstract : The advancement in computational intelligence and computational power and the explosionof traffic data continues to drive the development and use of Intelligent TransportSystem and smart mobility applications. As one of the fundamental components of IntelligentTransport Systems, traffic flow prediction research has been advancing from theclassical statistical and time-series based techniques to data–driven methods mainly employingdata mining and machine learning algorithms. READ MORE

6. 5. Time-series long-term forcasting for A/B tests

   University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

   Author : Davis Jaunzems; [2016]
   Keywords : A B tests; time-series; long-term forecasting; time-series clustering; A B-tester; tidsserier; långsiktiga prognoser; tidsseriekluster;

   Abstract : Den tekniska utvecklingen av datorenheter och kommunikationsverktyg har skapat möjligheter att lagra och bearbeta större mängder information än någonsin tidigare. För forskare är det ett sätt att göra mer exakta vetenskapliga upptäckter, för företag är det ett verktyg för att bättre förstå sina kunder, sina produkter och att skapa fördelar gentemot sina konkurrenter. READ MORE