Essays about: "project data bank"

Showing result 1 - 5 of 72 essays containing the words project data bank.

  1. 1. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis

    University essay from KTH/Matematik (Avd.)

    Author : Nazar Maksymchuk Netterström; [2023]
    Keywords : Recurrent Neural Network; Long-Short-Term-Memory; Topological Data Analysis; Session based data; Anomaly detection; Time-series analysis; Imbalanced data; Master thesis; Neurala nätverk; Topologisk data analys; Detektion av avvikelse; Sessionsbaserad data; Tidserieanalys; Inbalancerad data; Masteruppsats;

    Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE

  3. 2. World Bank Assisted Intervention Development Projects on Poverty Alleviation in Nigeria: An Impact Evaluation of National FADAMA III in Enugu State.

    University essay from Lunds universitet/Statsvetenskapliga institutionen

    Author : Chinedu Maduekwe; [2023]
    Keywords : Keywords: poverty; poverty alleviation; impact evaluation; Fadama; Fadama III.; Law and Political Science;

    Abstract : This evaluation research which deals with the World Bank-assisted intervention development programme known as Fadama III in Nigeria precisely sought to investigate how the National Fadama III Intervention Development Project impacted poverty alleviation of the residents of Enugu State that participated in the project in relation to their income level. The study made use of 168 benefiting households in the Fadama III project and 67 non-benefiting households that were randomly selected. READ MORE

  4. 3. Results Measurement of Livelihood Interventions in the Humanitarian Field, using a Sustainable Livelihoods Framework (SLF) to analyze the Economic Rate of Return (ERR) of an income-generating activity (IGA) project in a post-disaster setting, in San Andres Osuna, Guatemala

    University essay from Uppsala universitet/Teologiska institutionen

    Author : Olof Hörmander; [2023]
    Keywords : aquaponic fish tanks; results measurement; humanitarian work; development; sustainability; livelihoods; sustainable livelihoods framework SLF ; Economic Rate of Return ERR ;

    Abstract : There is limited evidence-based data on income-generating interventions, both within thehumanitarian and the development field. Nevertheless, there is a growing and unavoidable nexus between the two fields, and therefore also, within their methodologies for measuring project intervention results, as well as their success rates. READ MORE

  5. 4. Classification Method of Financial Behaviour Through Means of Machine Learning : Can a classification method created using bank transaction and machine learning help individuals to understand their spending behavior?

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

    Author : Yilei Cheng; Akhmed Al-Sayed; [2022]
    Keywords : machine learning; bank transactions; classification; spending behaviour; overspending; money awareness.; maskininlärning; banktransaktioner; klassificering; utgiftsbeteende; överutgifter; finansiell kunskap.;

    Abstract : With the current fast transformation from physical cash to digitized banking systems, there are more and more people that are at risk of overspending without realizing it. There are methods and researches done that are targeted at incorporating machine learning in identifying fraudulent transactions and credit scores but currently there is no research done in categorizing people’s behaviour based on transaction records using machine learning techniques. READ MORE

  6. 5. Estimating the risk of insurance fraud based on tonal analysis

    University essay from Lunds universitet/Matematisk statistik

    Author : Henrik Steneld; [2022]
    Keywords : Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Abstract : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. READ MORE