Essays about: "Transactional Data"

Showing result 1 - 5 of 101 essays containing the words Transactional Data.

1. 1. MONEY ON (THE) LINE : A Quantitative Study on the Effects of Different Types of Digital Government Services on Petty Corruption

   University essay from Uppsala universitet/Statsvetenskapliga institutionen

   Author : Victor Hasslöf; [2024]
   Keywords : E-government; E-governance; E-services; E-service; electronic; government; governance; digital; government; service; services; digital; digitalization; computer; public; sector; informational; transactional; corruption; petty; crime; economics; quantitative; analysis; 2014; 2013; EGDI; online; index; subindex; disaggregate; conceptualization; data; E-tjänst; E-services; digitalisering; digital; tjänst; offentlig; sektor; korruption; tjänstemannakorruption; information; transaktion; brottsekonomi; dator; ekonomi; kvantitativ; analys; 2014; 2015; EGDI; online; index; underindex; disaggregerad; konceptualisera; data;

   Abstract : Previous research indicates that improving digital government services may contribute to the reduction of corruption. This study seeks to deepen the knowledge of this suggested causal link in several ways. Firstly, it adds nuance by examining the effects of two distinct sub-types of digital government services on specifically petty corruption. READ MORE

3. 2. GRADUATE STUDENT EXPERIENCES IN ONLINE MASTER’S PROGRAMS IN CRISIS SITUATIONS

   University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärande

   Author : Sinamis Doughouz; [2023-10-23]
   Keywords : Graduate Students; Online Learning; Online Education; Sweden; Pandemic; Challenges; Transactional Distance Theory;

   Abstract : Purpose: The overall purpose of this qualitative analysis study was to discover how pedagogical, social, and administrative experiences affected graduate student satisfaction, as related to their online learning during the COVID-19 pandemic of 2020-2022. The main instrument used to examine these data was an online survey. READ MORE

4. 3. Artificial Transactional Data Generation for Benchmarking Algorithms

   University essay from Umeå universitet/Institutionen för fysik

   Author : Veronica Lundgren; [2023]
   Keywords : Data Analytics; Synthetic Data; Statistical Distribution; Embedding; Transactional Data;

   Abstract : Modern retailers have been collecting more and more data over the past decades. The increased sizes of collected data have led to higher demand for data analytics expertise tools, which the Umeå-founded company Infobaleen provides. A recurring challenge when developing such tools is the data itself. READ MORE

5. 4. CarGo : A Decentralized Protocol for Booking and Payment in Car-Sharing Systems

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

   Author : Aristotelis-Antonios Kotsias; [2023]
   Keywords : blockchain; car-sharing system; layer two solutions; smart contract; car booking and payment;

   Abstract : Sharing commodities such as vehicles and houses in exchange for a fee has become very popular in the recent years. Companies such as Uber and Airbnb are two examples where their users can rent their underutilized assets for a period of time. READ MORE

6. 5. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Oskar Nilsson; Benjamin Lilje; [2023]
   Keywords : Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

   Abstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE