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Articles 1 - 30 of 86
Full-Text Articles in Analysis
Secondary Features Of Importance For A Url Ranking, Atajan Abdyyev
Secondary Features Of Importance For A Url Ranking, Atajan Abdyyev
Dissertations and Theses
This paper investigates the impact of secondary ranking factors on webpage relevance and rankings in the context of Search Engine Optimization (SEO), focusing on the jewelry domain within the United States e-commerce market. By generating a keyword list related to jewelry and retrieving top URLs from Google's search results, the study employs machine learning models including XGBoost, CatBoost, and Linear Regression to identify key features influencing webpage relevance and rankings.The findings highlight specific optimal ranges for features like Outlinks, Unique Inlinks, Flesch Reading Ease Score, and others, indicating their significant impact on better rankings. Notably, Random Forest model performed best …
Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu
Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu
Research Collection Lee Kong Chian School Of Business
Bayesian Optimization (BO) has recently received increasing attention due to its efficiency in optimizing expensive-to-evaluate functions. For some practical problems, it is essential to consider the path-dependent switching cost between consecutive sampling locations given a total traveling budget. For example, when using a drone to locate cracks in a building wall or search for lost survivors in the wild, the search path needs to be efficiently planned given the limited battery power of the drone. Tackling such problems requires a careful cost-benefit analysis of candidate locations and balancing exploration and exploitation. In this work, we formulate such a problem as …
The Attempt And Operation Of Container Sharing Platform In The Yangtze River Delta: Efficient Transfer Of Empty Containers And Resources Sharing, Yifei Wei
World Maritime University Dissertations
No abstract provided.
Study On The Construction Of Public Information Platform For International Multimodal Transport: A Case Study Of Shanghai, Yijie Chen
World Maritime University Dissertations
No abstract provided.
Study On Overcapacity Of Liner Shipping: On The Transpacific Routes, Yuxin Pu
Study On Overcapacity Of Liner Shipping: On The Transpacific Routes, Yuxin Pu
World Maritime University Dissertations
No abstract provided.
Research On Investment Risk And Decision Making In Dry Bulk Ships: Case Study Nijie Shipping World Limited, Mingyu Xu
World Maritime University Dissertations
No abstract provided.
Employee Attrition: Analyzing Factors Influencing Job Satisfaction Of Ibm Data Scientists, Graham Nash
Employee Attrition: Analyzing Factors Influencing Job Satisfaction Of Ibm Data Scientists, Graham Nash
Symposium of Student Scholars
Employee attrition is a relevant issue that every business employer must consider when gauging the effectiveness of their employees. Whether or not an employee chooses to leave their job can come from a multitude of factors. As a result, employers need to develop methods in which they can measure attrition by calculating the several qualities of their employees. Factors like their age, years with the company, which department they work in, their level of education, their job role, and even their marital status are all considered by employers to assist in predicting employee attrition. This project will be analyzing a …
Bridging The Chasm Between Fundamental, Momentum, And Quantitative Investing, Allen Hoskins, Jeff Reed, Robert Slater
Bridging The Chasm Between Fundamental, Momentum, And Quantitative Investing, Allen Hoskins, Jeff Reed, Robert Slater
SMU Data Science Review
A chasm exists between the active public equity investment management industry's fundamental, momentum, and quantitative styles. In this study, the researchers explore ways to bridge this gap by leveraging domain knowledge, fundamental analysis, momentum, crowdsourcing, and data science methods. This research also seeks to test the developed tools and strategies during the volatile time period of 2020 and 2021.
Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore
Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore
SDSU Data Science Symposium
This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …
Estimating The Statistics Of Operational Loss Through The Analyzation Of A Time Series, Maurice L. Brown
Estimating The Statistics Of Operational Loss Through The Analyzation Of A Time Series, Maurice L. Brown
Theses and Dissertations
In the world of finance, appropriately understanding risk is key to success or failure because it is a fundamental driver for institutional behavior. Here we focus on risk as it relates to the operations of financial institutions, namely operational risk. Quantifying operational risk begins with data in the form of a time series of realized losses, which can occur for a number of reasons, can vary over different time intervals, and can pose a challenge that is exacerbated by having to account for both frequency and severity of losses. We introduce a stochastic point process model for the frequency distribution …
Finding The Best Predictors For Foot Traffic In Us Seafood Restaurants, Isabel Paige Beaulieu
Finding The Best Predictors For Foot Traffic In Us Seafood Restaurants, Isabel Paige Beaulieu
Honors Theses and Capstones
COVID-19 caused state and nation-wide lockdowns, which altered human foot traffic, especially in restaurants. The seafood sector in particular suffered greatly as there was an increase in illegal fishing, it is made up of perishable goods, it is seasonal in some places, and imports and exports were slowed. Foot traffic data is useful for business owners to have to know how much to order, how many employees to schedule, etc. One issue is that the data is very expensive, hard to get, and not available until months after it is recorded. Our goal is to not only find covariates that …
An Alternative Class Of Ratio-Regression-Type Estimator Under Two-Phase Sampling Scheme, Muhammad Isah, Zakari Yahaya, Audu Ahmed
An Alternative Class Of Ratio-Regression-Type Estimator Under Two-Phase Sampling Scheme, Muhammad Isah, Zakari Yahaya, Audu Ahmed
CBN Journal of Applied Statistics (JAS)
In this study, a new exponential ratio-regression estimator is developed using an auxiliary variable for estimating the finite population mean under a two-phase sampling system. The Bias and Mean Square Error (MSE) of the proposed estimator are derived and compared with some of the estimators in extant literature. Thus, the conditions under which the proposed estimator is better than some existing estimators are provided. Empirically, using four real datasets and simulation study, the proposed estimator performs better than the classical ratio, classical regression, exponential ratio, and exponential regression cum ratio estimator when compared using the criteria of bias, mean square …
Forecasting The Recovery Of The International Container Shipping Market In The Presence Of Covid-19, Tengrongre Wang
Forecasting The Recovery Of The International Container Shipping Market In The Presence Of Covid-19, Tengrongre Wang
World Maritime University Dissertations
No abstract provided.
The Management System Of Novcc In China And Its Improvement, Zixuan Zhang
The Management System Of Novcc In China And Its Improvement, Zixuan Zhang
World Maritime University Dissertations
No abstract provided.
Study On Amalgamation Of The Logistics Industry And Manufacturing Industry — Shanghai’S Case Study, Haole Zheng
Study On Amalgamation Of The Logistics Industry And Manufacturing Industry — Shanghai’S Case Study, Haole Zheng
World Maritime University Dissertations
No abstract provided.
The Formation Mechanism Of China's Export Container Freight Rate, Yuchao Liu
The Formation Mechanism Of China's Export Container Freight Rate, Yuchao Liu
World Maritime University Dissertations
No abstract provided.
Research On Optimization Of A Company's Agricultural Products Cold Chain Logistics System, Shizhe Qiao
Research On Optimization Of A Company's Agricultural Products Cold Chain Logistics System, Shizhe Qiao
World Maritime University Dissertations
No abstract provided.
Analysis Of The Influence Of Beibu Gulf Port Development On Regional Economy, Hanyue Zhang
Analysis Of The Influence Of Beibu Gulf Port Development On Regional Economy, Hanyue Zhang
World Maritime University Dissertations
No abstract provided.
Analysis Of Covid-19'S Influence On International Logistics Enterprises And Its Countermeasures A Case Study Of Dgf, Zhoutao Ruan
Analysis Of Covid-19'S Influence On International Logistics Enterprises And Its Countermeasures A Case Study Of Dgf, Zhoutao Ruan
World Maritime University Dissertations
No abstract provided.
Research On The Logistics Development Model Of Shanghai Free Trade Zone, Yuhong Xie
Research On The Logistics Development Model Of Shanghai Free Trade Zone, Yuhong Xie
World Maritime University Dissertations
No abstract provided.
Preparing For The Future: The Effects Of Financial Literacy On Financial Planning For Young Professionals, Tanay Singh
Preparing For The Future: The Effects Of Financial Literacy On Financial Planning For Young Professionals, Tanay Singh
Senior Theses
Purpose – Many people between the age of 20 and 34 have not considered planning financially for the future in any significant capacity and in doing so, they limit their potential savings. The purpose of this study is to examine what financial expectations are for people in the early stages of their career and determine if improving financial literacy and revealing financial realities helps to produce more accurate or realistic expectations. Ultimately, the goal is to better prepare participants in the study for the working world and increased responsibilities outside of the college/university environment by getting them to start thinking …
Correlation Analysis Between Container Shipping Market And Sino-Us Trade Under The China-Us Trade Conflict, Changqing Lu
Correlation Analysis Between Container Shipping Market And Sino-Us Trade Under The China-Us Trade Conflict, Changqing Lu
World Maritime University Dissertations
No abstract provided.
The Impact Of Sino-Us Trade Conflict On International Dry Bulk Shipping Market, Yuefeng Lyu
The Impact Of Sino-Us Trade Conflict On International Dry Bulk Shipping Market, Yuefeng Lyu
World Maritime University Dissertations
No abstract provided.
Study On The Port Classification Of 21st Century Maritime Silk Road West Line, Jiawen Wang
Study On The Port Classification Of 21st Century Maritime Silk Road West Line, Jiawen Wang
World Maritime University Dissertations
No abstract provided.
Research On The Value Estimation Of Ship Optional Orders, Zhili Zhang
Research On The Value Estimation Of Ship Optional Orders, Zhili Zhang
World Maritime University Dissertations
No abstract provided.
Black Swamp Pub And Bistro Analysis, Sara Aniol
Black Swamp Pub And Bistro Analysis, Sara Aniol
Honors Projects
The Black Swamp Pub and Bistro is a full-service restaurant located in the Union on the Bowling Green State University Campus. We mainly do sit-down service, but we also do take-out orders and have a full bar with draft beers as well as mixed drinks. Our menu tends to change a lot, with new additions as well as some of the items being deleted. My goal of this project is to try to give some insight on the patterns that are too big to see with day-to-day operations as well as give some recommendations for the future that is backed …
Making The Cut: Receivers Of The National Football League, Anthony Kent Davis
Making The Cut: Receivers Of The National Football League, Anthony Kent Davis
Mathematics Senior Capstone Papers
In this paper the prospects of the National Football League, or NFL, are studied in order to determine the relationships between past college statistics, other “measurables,” and how they translate to successful careers in the league. When referring to measurables, this consists of all of the numerical data from each player that should, in theory, help teams get an idea of the players strengths or weaknesses. The data being used comes from an annual scouting combine for NFL teams that is held prior to each season. Information about the player’s college statistics and pre-draft measurables are being compared to several …
Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater
Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater
SMU Data Science Review
The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
SMU Data Science Review
In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …
Exploring The Source Of Container Cargo And Passenger Flow : A Case Of Shanghai Port, Dong Xu
Exploring The Source Of Container Cargo And Passenger Flow : A Case Of Shanghai Port, Dong Xu
World Maritime University Dissertations
No abstract provided.