Sökning: "price prediction"
Visar resultat 1 - 5 av 189 uppsatser innehållade orden price prediction.
1. ML implementation for analyzing and estimating product prices
Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. LÄS MER
2. Learning Embeddings for Fashion Images
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Today the process of sorting second-hand clothes and textiles is mostly manual. In this master’s thesis, methods for automating this process as well as improving the manual sorting process have been investigated. LÄS MER
3. On modelling OMXS30 stocks - comparison between ARMA models and neural networks
Master-uppsats, Uppsala universitet/Matematiska institutionenSammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER
4. A Markovian Approach to Financial Market Forecasting
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER
5. Data-driven decisions in Sports
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : In recent years, many sectors such as insurance, banking, retail, etc. have adopted Big Data architectures to boost their business activities. Such tools not only suppose a greater profit for thesecompanies but also allow them to gain a better understanding of their customers and their needs. LÄS MER