Essays about: "exploratory data analysis EDA"

Showing result 1 - 5 of 9 essays containing the words exploratory data analysis EDA.

  1. 1. Development of a data-driven marketing strategy for an online pharmacy

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Gelaye Worku Holmér; Ishara H. Gamage; [2022]
    Keywords : Online pharmacies; data-driven marketing strategies; market basket analysis; exploratory analysis; Apriori algorithm;

    Abstract : The term electronic commerce (e-commerce) refers to a business model that allows companies and individuals to buy and sell goods and services over the internet. The focus of this thesis is on online pharmacies, a segment of the ecommerce market. READ MORE

  3. 2. A New Perspective into Languages for Specific Purposes (LSP) Syllabus Design : Target language learningpromoting thedevelopment of refugee employability competencies

    University essay from Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)

    Author : Maria Alice de Fatima Capocchi Ribeiro; [2021]
    Keywords : Refugee labour integration; language for specific purposes; employability competencies; VET Vocational Education and Training ; syllabus design.;

    Abstract : This thesis reports on a meta-analysis of the most relevant employabilitycompetencies to foster refugees’ labour integration which may be potentiallyleveraged through a target language for specific purposes (LSP)MOOCsyllabus. Italso suggests to group the thus identified employability competencies into threecategories tofurther supportLSPMOOC syllabus design and implementation. READ MORE

  4. 3. Money Laundering Detection using Tree Boosting and Graph Learning Algorithms

    University essay from KTH/Matematisk statistik

    Author : Rickard Frumerie; [2021]
    Keywords : Tree boosting; XGBoost; graph convolutional networks GCN ; node and edge neural networks NENN ; exploratory data analysis EDA ; anti money laundering AML ; financial graph networks.; Trädalgoritmer; XGBoost; convolutions grafnätverk GCN ; nod och kant neurala nätverk NENN ; utforskande dataanalys; penningtvättsbekämpning AML ; finansiella grafnätverk.;

    Abstract : In this masters thesis we focused on using machine learning methods for detecting money laundering in financial transaction networks, in order to demonstrate that it can be used as a complement or instead of the more commonly used rule based systems. The graph learning method graph convolutional networks (GCN) has been a hot topic in the field since they were shown to scale well with data size back in 2018. READ MORE

  5. 4. Knowledge Discovery and Data Mining Using Demographic and Clinical Data to Diagnose Heart Disease.

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Javier Fernandez Sanchez; [2018]
    Keywords : machine learning; data science; artificial intelligence; data mining; cardiovascular disease; CVD; exploratory analysis; EDA; clinical data; support vector machines; preprocessing; decision trees; logistic regression; KNN; adaboost; xgboost; random forest; health; healthcare;

    Abstract : Cardiovascular disease (CVD) is the leading cause of morbidity, mortality, premature death and reduced quality of life for the citizens of the EU. It has been reported that CVD represents a major economic load on health care sys- tems in terms of hospitalizations, rehabilitation services, physician visits and medication. READ MORE

  6. 5. Turning Smart Water Meter Data Into Useful Information : A case study on rental apartments in Södertälje

    University essay from KTH/Vattendragsteknik

    Author : Anna Söderberg; Philip Dahlström; [2017]
    Keywords : End User Water Consumption; Smart Water Meter Data; Exploratory Data Analysis; Water Management; Building Operational Management;

    Abstract : Managing water in urban areas is an ever increasingly complex challenge. Technology enables sustainable urban water management and with integrated smart metering solutions, massive amounts of water consumption data from the end users can be collected. However, the possibility of generating data from the end user holds no value in itself. READ MORE