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A Data Mining Approach To Building A Predictive Model Of Low-Cost Carriers' Presence In The U.S. Domestic Routes, Canh Nguyen, John E. Deaton, Nurettin Dinler 2019 Florida Institute of Technology

A Data Mining Approach To Building A Predictive Model Of Low-Cost Carriers' Presence In The U.S. Domestic Routes, Canh Nguyen, John E. Deaton, Nurettin Dinler

International Journal of Aviation, Aeronautics, and Aerospace

The purpose of the study was to build the predictive model of the presence of U.S. low-cost carriers (LCCs) in the domestic network structure. SEMMA (Sample, Explore, Modify, Model, and Assess) schematic in data mining was followed and employed as the primary methodological procedure. Data in the period of 1Q2016-1Q2018 were extracted from the Bureau of Transportation Statistics (DB1B database) and reconstructed to form predictors. Stepwise logistic regression showed a significant predictive performance compared to decision tree technique in terms of fitting measures, which was then used as the concluding model. Significant predictors included: (1) Market concentration positively related ...


What Do Publicly-Available Soccer Match Data Actually Tell Us?, Chester S. Labedz Jr., Robert Schumaker 2019 Central CT State University

What Do Publicly-Available Soccer Match Data Actually Tell Us?, Chester S. Labedz Jr., Robert Schumaker

Communications of the IIMA

Media analyses of soccer statistics and game play has accelerated in recent years. This is evident in visual displays of ball and player tracking, average player locations and distances they run. These media depictions aim to be attractive, entertaining and informative for viewers. But are such statistics predictive of goal scoring and match outcome? To answer this question we review the sixty-four matches of the 2014 World Cup and examine nine common match statistics, and others, to evaluate their predictive value for goal production and match outcome.


Nebraska Monthly Economic Indicators: September 25, 2019, Eric Thompson 2019 University of Nebraska - Lincoln

Nebraska Monthly Economic Indicators: September 25, 2019, Eric Thompson

Leading Economic Indicator Reports

The Leading Economic Indicator – Nebraska (LEI-N) 1 fell by 1.89% during August of 2019. The drop in the LEI-N, which is designed to predict economic activity six months into the future, follows a sharp 2.51% increase during July. Taken together, results from the two months imply modest economic growth in Nebraska at the end of 2019 and the beginning of 2020. The leading indicator fell primarily due to a an increase in initial claims for unemployment insurance and a sharp increase in the value of the U.S. dollar. A rising dollar creates challenges for Nebraska busineses which ...


Utilization Of Statistics For Provision Of Business Information: Implementation Of Α-Sutte Indicator On Provision Of Stock Movement Prediction Information, Nuning Kurniasih, Ansari Saleh Ahmar, Nanik Kurniawati 2019 Universitas Padjadjaran

Utilization Of Statistics For Provision Of Business Information: Implementation Of Α-Sutte Indicator On Provision Of Stock Movement Prediction Information, Nuning Kurniasih, Ansari Saleh Ahmar, Nanik Kurniawati

Library Philosophy and Practice (e-journal)

The Current information services are dealing with big data that is freely accessible. Companies providing information services and products need to develop creativity and innovation to maintain their existence. In this paper, we offer that information specialist can add value to information. The added value is given through an analysis of information that is relevant to user needs. The Research and Development Method can be used to develop a framework for service information products and services, and bridge the gap between the theories studied in higher education and the needs of the industry. α-Sutte Indicator can be used to predict ...


Determinantes Macroeconómicos En El Incremento Del Salario Mínimo En Colombia Entre Los Años 2001-2017, Tatiana Catherine Vega Ramírez 2019 Universidad de La Salle, Bogotá

Determinantes Macroeconómicos En El Incremento Del Salario Mínimo En Colombia Entre Los Años 2001-2017, Tatiana Catherine Vega Ramírez

Economía

El incremento del salario mínimo en las compañías aseguradoras es importante ya que mediante el aumento anual del salario mínimo, se estima el cálculo del pago de las rentas vitalicias que las aseguradoras deben realizar a sus clientes.

Las rentas vitalicias son una forma de pensión vida-ahorro donde el individuo o beneficiario (Pensionado) acuerda con su aseguradora el pago de una renta periódica hasta su fallecimiento a cambio de una prima única.

El salario se define como todo lo que involucre alguna retribución de servicios, es entonces, no sólo la remuneración ordinaria, fija o variable, sino además todo lo que ...


An Overview And Analysis Of The Impacts Of Extreme Heat On The Aviation Industry, Brandon T. Carpenter 2019 University of Tennessee, Knoxville

An Overview And Analysis Of The Impacts Of Extreme Heat On The Aviation Industry, Brandon T. Carpenter

Pursuit - The Journal of Undergraduate Research at the University of Tennessee

Weather is a common cause of flight delays and cancellations. However, the vast majority of the time when thinking about weather and its effect on aviation, winter conditions such as snow come to mind. Heat is usually one of the last types of weather we associate with airline challenges. Recently, a bomb cyclone made headlines for the disruptions it caused with travel, especially at John F. Kennedy International Airport. Interestingly, the exact opposite of winter weather conditions can cause just as many challenges. During the summer of 2017, a number of flights at various airports such as Phoenix Sky Harbor ...


Try, Try Again: Lessons Learned From Success And Failure In Participatory Modeling, Eleanor J. Sterling, Moira Zellner, Karen E. Jenni, Kirsten Leong, Pierre D. Glynn, Todd K. BenDor, Pierre Bommel, Klaus Hubacek, Antonie J. Jetter, Rebecca Jordan, Laura Schmitt Olabisi, Michael Paolisso, Steven Gray 2019 American Museum of Natural History

Try, Try Again: Lessons Learned From Success And Failure In Participatory Modeling, Eleanor J. Sterling, Moira Zellner, Karen E. Jenni, Kirsten Leong, Pierre D. Glynn, Todd K. Bendor, Pierre Bommel, Klaus Hubacek, Antonie J. Jetter, Rebecca Jordan, Laura Schmitt Olabisi, Michael Paolisso, Steven Gray

Antonie J. Jetter

Participatory Modeling (PM) is becoming increasingly common in environmental planning and conservation, due in part to advances in cyberinfrastructure as well as to greater recognition of the importance of engaging a diverse array of stakeholders in decision making. We provide lessons learned, based on over 200 years of the authors’ cumulative and diverse experience, about PM processes. These include successful and, perhaps more importantly, not-so-successful trials. Our collective interdisciplinary background has supported the development, testing, and evaluation of a rich range of collaborative modeling approaches. We share here what we have learned as a community of participatory modelers, within three ...


A Next-Day, Brief E-Survey Overcomes The Excessive Variability Seen In Cahps-Style Emergency Department Surveys So That Individual Physician Performance Can Be Assessed On A Regular Basis, Tom Scaletta, Eva Hare, Christopher Sung Lee 2019 Edward Elmhurst Health

A Next-Day, Brief E-Survey Overcomes The Excessive Variability Seen In Cahps-Style Emergency Department Surveys So That Individual Physician Performance Can Be Assessed On A Regular Basis, Tom Scaletta, Eva Hare, Christopher Sung Lee

Patient Experience Journal

Traditional CAHPS-style emergency department (ED) surveys result in excessive variability when assessing individual physician performance. The objective of this study is to measure the variability of a brief, electronic survey (e-survey). The study team also measured the association of individual physicians to demographic data, physician and patient factors, and a physician burnout assessment tool. Data from SmartContact (SmartER, La Grange, IL) is a next-day, e-survey that takes about 30-seconds to complete. This tool was used by a hospital-employed emergency department (ED) group during calendar year 2017 across 2 EDs and 37 physicians.1,2 Variability was estimated regarding raw patient ...


An Examination Of Computer Forensics And Related Certifications In The Accounting Curriculum, Michael A. Seda, Bonita Peterson Kramer, D. Larry Crumbley 2019 Stockton University

An Examination Of Computer Forensics And Related Certifications In The Accounting Curriculum, Michael A. Seda, Bonita Peterson Kramer, D. Larry Crumbley

Journal of Digital Forensics, Security and Law

Forensic accounting has been a fast-growing niche area within the accounting field for many years. While there has been dramatic growth in the number of courses and degrees in forensic accounting offered by universities, certain relevant topics receive little coverage, such as computer forensics. The purpose of this paper is to examine the views of accounting academics and practitioners pertaining to integrating computer forensics in the accounting curriculum, as well as to determine which forensic accounting certifications the respondents hold. Differences in opinions between the two groups are discussed, along with recommendations on how to improve the forensic accounting curriculum ...


Graphicacy For Numeracy: Review Of Fundamentals Of Data Visualization: A Primer On Making Informative And Compelling Figures By Claus O. Wilke (2019), Christy M. Bebeau 2019 University of South Florida

Graphicacy For Numeracy: Review Of Fundamentals Of Data Visualization: A Primer On Making Informative And Compelling Figures By Claus O. Wilke (2019), Christy M. Bebeau

Numeracy

Wilke, Claus O. 2019. Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures. (Sebastopol, CA: O’Reilly Media, Inc.). 390 pp. ISBN 978-1-492-03108-6. First edition. First release: 03-15-2019.

Claus O. Wilke has authored an excellent reference about producing and understanding static figures, figures used online, in print, and for presentations. His book is neither a statistics nor programming text, but familiarity with basic statistical concepts is helpful. Written in three parts, the book presents both the math and artistic design aspects of telling a story through figures. Wilke makes extensive use of examples, labels them good, bad ...


Longitudinal Analysis Of Perceived And Objective Airline Performance Quality, Kaetlyn Blocker, Javad Gorjidooz 2019 Embry-Riddle Aeronautical University

Longitudinal Analysis Of Perceived And Objective Airline Performance Quality, Kaetlyn Blocker, Javad Gorjidooz

Student Works

Commercial air carrier performance is a multivariable function, uniquely and substantially impacted by passenger's perception of negative employee behavior. High industry visibility, coupled with exponential social media growth, has provided the incredible potential to either widen or narrow the perception-performance gap. The present research conducts a rare longitudinal evaluation of objective airline performance quality in contrast with consumer perceptions of perceived airline performance and the dynamic changes occurring therein. Additionally, the implications regarding air carriers facing both objective and perceived performance challenges, as well as implications for the industry as a whole, are discussed. Utilizing nearly 30 years of ...


A Descriptive Study Of Variable Discretization And Cost-Sensitive Logistic Regression On Imbalanced Credit Data, Lili Zhang, Jennifer Priestley, Herman Ray, Soon Tan 2019 Kennesaw State University

A Descriptive Study Of Variable Discretization And Cost-Sensitive Logistic Regression On Imbalanced Credit Data, Lili Zhang, Jennifer Priestley, Herman Ray, Soon Tan

Grey Literature from PhD Candidates

Training classification models on imbalanced data tends to result in bias towards the majority class. In this paper, we demonstrate how variable discretization and cost-sensitive logistic regression help mitigate this bias on an imbalanced credit scoring dataset, and further show the application of the variable discretization technique on the data from other domains, demonstrating its potential as a generic technique for classifying imbalanced data beyond credit scoring. The performance measurements include ROC curves, Area under ROC Curve (AUC), Type I Error, Type II Error, accuracy, and F1 score. The results show that proper variable discretization and cost-sensitive logistic regression with ...


Determinants Of Cloud Computing Intentions To Use: Role Of Firm’S Size, Managerial Structure And Industrial Sector, Shailja Tripathi 2019 IFHE University, IBS Hyderabad, Telengana, India

Determinants Of Cloud Computing Intentions To Use: Role Of Firm’S Size, Managerial Structure And Industrial Sector, Shailja Tripathi

Journal of International Technology and Information Management

Currently many companies are adopting cloud computing to accomplish their diverse purposes and to create an elastic and responsive environment that can rapidly respond to new business requirements. This paper attempts to investigate the factors influencing cloud computing adoption from the managerial perspective with inclusion of size of firm, organizational structure and type of industry as control variables. The model is developed with various technological, economic and cognitive factors that affect the behavioral intention to use cloud computing using technology acceptance model (TAM).Questionnaires were randomly distributed to around 1000 senior managers of various firms in India. Hierarchical multiple regression ...


Top-Down Construction Cost Estimating Model Using An Artificial Neural Network, Douglas D. Gransberg, H. David Jeong, Ilker Karaca, Brendon Gardner 2019 Iowa State University

Top-Down Construction Cost Estimating Model Using An Artificial Neural Network, Douglas D. Gransberg, H. David Jeong, Ilker Karaca, Brendon Gardner

Ilker Karaca

This report contains the information and background on top-down cost estimating using artificial neural networks (ANN)_to enhance the accuracy of MDT early estimates of construction costs. Upon conducting an extensive review of MDT’s budgeting and cost estimating efforts, and following a survey of agency experts on the identification of the most salient project attributes with the dual-objectives of low effort and high accuracy, a rational method for top-down variable selection is proposed. Selected variables were further tested in their explanatory power of construction costs through the application of two cost estimating methodologies—multiple regression and artificial neural network ...


Machine Learning With Multi-Class Regression And Neural Networks: Analysis And Visualization Of Crime Data In Seattle, Erkin David George 2019 Seattle Pacific University

Machine Learning With Multi-Class Regression And Neural Networks: Analysis And Visualization Of Crime Data In Seattle, Erkin David George

Honors Projects

This article examines the implications of machine learning algorithms and models, and the significance of their construction when investigating criminal data. It uses machine learning models and tools to store, clean and analyze data that is fed into a machine learning model. This model is then compared to another model to test for accuracy, biases and patterns that are detected in between the experiments. The data was collected from data.seattle.gov and was published by the City of Seattle Data Portal and was accessed on September 17, 2018. This research will be looking into how machine learning models can ...


Cost-Benefit Analysis Of Studying Spanish And Construction In Tandem, Daniel Joseph Eide 2019 California Polytechnic State University, San Luis Obispo

Cost-Benefit Analysis Of Studying Spanish And Construction In Tandem, Daniel Joseph Eide

Construction Management

Does Spanish bilingualism have measurable fiscal value in the U.S. construction industry? Studying and becoming proficient in Spanish is feasible, affordable, and can be accomplished at Cal Poly in conjunction with a Construction Management major. In a dynamic industry that values versatile employees, where communication is key to success, the capability of speaking Spanish is a substantial value-add in the workforce. Using qualitative and quantitative data analysis, it is concluded that individuals who possess English and Spanish-speaking abilities in the U.S. construction industry can expect a 3 percent wage premium when compared to English-only speakers. This study weighs ...


Optimize The Effectiveness Of Recruiting Campaigns, Ryan A. Talk, Lakshmi Bobbillapati, Marshall Coyle 2019 Southern Methodist University

Optimize The Effectiveness Of Recruiting Campaigns, Ryan A. Talk, Lakshmi Bobbillapati, Marshall Coyle

SMU Data Science Review

Abstract. Recruiting marketing plays an important role in the talent acquisition strategy today. To find the best candidates, companies make substantial investments through numerous recruiting agencies, job boards, and internal systems such as Indeed, LinkedIn, Monster, Talent Communities. In this paper we obtained a company’s LinkedIn Job Posting data to try to predict the number of visits they will receive for each job posting based on the time of the year it is posted. We compare AR(1), AR(2), AR(52), MA(1), and ARMA(1, 1) time series methods to a baseline of a persistence model. We ...


Poverty Tourism: Rhetorical Characterizations Of The Other In Study Abroad, Tourism And Missions Marketing, Miriam Thurber 2019 Messiah College

Poverty Tourism: Rhetorical Characterizations Of The Other In Study Abroad, Tourism And Missions Marketing, Miriam Thurber

Honors Projects and Presentations: Undergraduate

Contemporary colonialism rides on the back of poverty tourism, shaping Third World Others into traveler’s expectations and desires. Study abroad, tourism and missions marketing create eight rhetorical personae (the Cautious Self-Preserver, Dangerous Scoundrel, Modern Attendant, Savior, Needy, Hands-On Consumer, Exotic Consumed, Heroic Adventurer) Western travelers can put on themselves and push onto the Other. These four character pairings reveal stark imbalance between the West and the Rest, the latter’s reality conforming to the mischaracterizations the West creates. Through analysis of the marketing text and images presented by top study abroad, tourism and missions programs, this study discusses the ...


It Is In The Cards: An Analysis Of Greeting Card Selection Through Identity And Personality, Emily Topilow 2019 Bowling Green State University

It Is In The Cards: An Analysis Of Greeting Card Selection Through Identity And Personality, Emily Topilow

Honors Projects

In this exploratory study, personal and social identity were analyzed for their effect on how consumers choose greeting cards. Factors, including personality, relationships, and identity will be qualitatively analyzed to understand people’s buying habits. Certain factors, including gender, personality, relationships, type of card, and frequency of receiving and giving cards, will be qualitatively analyzed for frequency. The two theories analyzed were the Social Identity Theory (SIT) and the Identity Theory (IT).

525 college-aged students were surveyed to examine their purchasing habits of greeting cards. The results showed that the identity of the card giver and the identity of the ...


Demand Forecasting: An Open-Source Approach, Murtada Shubbar, Jared Smith 2019 Southern Methodist University

Demand Forecasting: An Open-Source Approach, Murtada Shubbar, Jared Smith

SMU Data Science Review

In this paper, we compare demand forecasting methods used by the supply chain department at Bilports to open-source forecasting methods. The design and implementation of the open-source forecasting system also attempts to use several external datasets such as consumer sentiment, housing permit starts, and weather to improve prediction quality. Additionally, the performance of the forecast is evaluated by the reduction of shipment lead times from China, the company’s primary vendor. The objective of our paper is to improve Bilports’s forecasting capabilities. The primary motivation of this paper is to increase forecasting accuracy and identify the weaknesses of the ...


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