Essays about: "Flight Search Engine"

Found 4 essays containing the words Flight Search Engine.

1. 1. Flight search engine CPU consumption prediction

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

   Author : Zhaopeng Tao; [2021]
   Keywords : Flight Search Engine; Deep Neural Networks; Tabular Data; Regression; Machine Learning; Flight Schedule Embedding; Node Embedding; Graph Embedding; Line Graph Embedding; Sökmotor för flygresor; Djupa neurala nätverk; Tabulära data; Regression; Maskininlärning; Inbäddning av flygschema; Inbäddning av noder; Inbäddning av grafer; Inbäddning av linjediagram;

   Abstract : The flight search engine is a technology used in the air travel industry. It allows the traveler to search and book for the best flight options, such as the combination of flights while keeping the best services, options, and price. The computation for a flight search query can be very intensive given its parameters and complexity. READ MORE

3. 2. Predictive Maintenance for RM12 with Machine Learning

   University essay from Högskolan i Halmstad/Akademin för ekonomi, teknik och naturvetenskap

   Author : Lotta Karlsson; [2020]
   Keywords : ;

   Abstract : Few components within mechanical engineering possess the fatigue resistance as of high-pressure turbine blades found in jet engines. This as they are designed to perform in extensively high temperatures under severe loading which causes degradation to be an important aspect despite a design, optimized for its environment. READ MORE

4. 3. GDPR ́s Impact on Sales at Flygresor.se: A Regression Analysis

   University essay from KTH/Matematisk statistik

   Author : Lisette Lansryd; Madeleine Engvall Birr; [2019]
   Keywords : Bachelor Thesis; GDPR; Regression Analysis; Multiple Linear Regression; Categorical Variables; Flygresor.se; Kandidat examensarbete; Multipel Linjär Regression; GDPR; Regressionsanalys; Kategoriska Variabler; Flygresor.se;

   Abstract : The possible effects of the General Data Protections Regulations (GDPR) have been widely discussed among policymakers, stakeholders and ordinary people who are the objective for data collection. The purpose of GDPR is to protect people’s integrity and increase transparency for how personal data is used. READ MORE

5. 4. A Study on Comparison Websites in the Airline Industry and Using CART Methods to Determine Key Parameters in Flight Search Conversion

   University essay from KTH/Matematisk statistik

   Author : Jacob Hansén; Axel Gustafsson; [2019]
   Keywords : True positives; true negatives; false positives; false negatives; Classification Trees; Random Forest; SMOTE; ROSE; ROC; AUC; LCC; meta-search engine; Online Travel Agency; Gini impurity index; Sann negativ; sann positiv; falsk positiv; falsk negativ; klassificationsträd; Random Forest; SMOTE; ROSE; ROC; AUC; jämförelsehemsida; resebyrå; Gini koefficient;

   Abstract : This bachelor thesis in applied mathematics and industrial engineering and management aimed to identify relationships between search parameters in flight comparison search engines and the exit conversion rate, while also investigating how the emergence of such comparison search engines has impacted the airline industry. To identify such relationships, several classification models were employed in conjunction with several sampling methods to produce a predictive model using the program R. READ MORE