A Comparative Study Of Machine Learning Approaches For Human Activity Recognition,
2020
Dakota State University
A Comparative Study Of Machine Learning Approaches For Human Activity Recognition, Loknath Ambati, Omar El-Gayar
SDSU Data Science Symposium
The goal of this project is to study the performance of Machine Learning (ML) techniques used in Human Activity Recognition (HAR). Specifically, we aim to 1) evaluate and benchmark the performance of various ML techniques used for HAR against established ML performance metrics using multiple datasets, and 2) map the characteristics of various HAR datasets to appropriate ML techniques. From a theoretical perspective, the research will shed light into the strengths and weaknesses of various ML techniques that can provide insights into future research aimed at improving these techniques for HAR. From a practical perspective, the research provides guidance into …
Virtual Water Flows Embodied In International And Interprovincial Trade Of Yellow River Basin: A Multiregional Input-Output Analysis,
2020
Hohai University
Virtual Water Flows Embodied In International And Interprovincial Trade Of Yellow River Basin: A Multiregional Input-Output Analysis, Guilian Tian, Xiaosheng Han, Chen Zhang, Jiaojiao Li, Jinjing Liu
Information Systems and Analytics Department Faculty Journal Articles
With the imminent need of regional environmental protection and sustainable economic development, the concept of virtual water is widely used to solve the problem of regional water shortage. In this paper, nine provinces, namely Qinghai, Sichuan, Gansu, Ningxia, Inner Mongolia, Shaanxi, Shanxi, Henan, and Shandong in the Yellow River Basin (YRB), are taken as the research objects. Through the analysis of input-output tables of 30 provinces in China in 2012, the characteristics of virtual water trade in this region are estimated by using a multi-regional input-output (MRIO) model. The results show that: (1) The YRB had a net inflow of …
Idea Co-Creation On Social Media Platforms: Towards A Theory Of Social Ideation,
2020
Bryant University
Idea Co-Creation On Social Media Platforms: Towards A Theory Of Social Ideation, Pratyush Bharati, Kui Du, Abhijit Chaudhury, Narendra M. Agrawal
Information Systems and Analytics Department Faculty Journal Articles
Innovation scholars have long been discussing social media as a rich source of information, knowledge, and new ideas, yet, whether or how social media can directly intervene with organizational ideation processes remains unclear. In this study, we investigate the impact of external and enterprise social media platforms on organizational ideation. Grounded in seventy-nine cases and adapting social capital theory in social media contexts, this study attempts to develop a theory of social ideation. Social ideation consists of social media-enabled mechanisms that generate social capital, enable multi-level social exchanges, foster idea co-creation activities such as idea sourcing, filtering, elaboration, and integration, …
Leveraging Legal Analytics And Spend Data As A Law Firm Self-Governance Tool,
2020
Pepperdine University
Leveraging Legal Analytics And Spend Data As A Law Firm Self-Governance Tool, Nancy B. Rapoport, Joseph R. Tiano Jr.
The Journal of Business, Entrepreneurship & the Law
Our essay has five parts: (i) a discussion of how external forces are reshaping the economics of today’s legal industry; (ii) examples of the types of decisions that tend to drive up the cost of bills in contravention of ethical duties; (iii) a discussion of possible reasons for those decisions (including a short discussion of social science explanations); (iv) a description of how attorneys can use data analytics tools to self-govern how they staff, deliver and bill for their legal services; and (v) recommendations for how both clients and law firms can benefit from proactively managing, on the front end, …
Post-Brexit Implications On Irish Freight Transport And Logistics Sector,
2020
Technological University Dublin
Post-Brexit Implications On Irish Freight Transport And Logistics Sector, Amr Mahfouz, John Crowe, Rishi Choudhary, Jennifer Floody, Aly Owida Dr, Declan Allan
Technical Reports/Case Studies
The study quantifies the impact that new custom checks and Agri/SPS inspection procedures could have on agri-food supply chains. It is possible that these checks will be introduced at both EU27 and UK ports. The analysis shows the potential risks to the Irish agri-food supply chain. These risks are explained through a range of non-tariff barriers and Ireland/EU transport connectivity scenarios. There is potential for disruption in the long-established transportation routes between Ireland, the UK and Continental European markets. Direct shipping routes (i.e. links directly between Ireland and the EU26) have therefore been considered in this case. This consideration comes …
Shift-Share Analysis, Appalachian Counties,
2020
West Virginia University
Shift-Share Analysis, Appalachian Counties, Randall Jackson, Péter Járosi
Shift Share Analyses
In County-level CIE Supply Chain Analysis, the second of five p a rts o f A n E c onomic A n alysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia. These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those …
Measuring And Unpacking Affective Polarization On Twitter: The Role Of Party And Gender In The 2018 Senate Races,
2020
Bryant University
Measuring And Unpacking Affective Polarization On Twitter: The Role Of Party And Gender In The 2018 Senate Races, Kevin Mentzer, Kate Fallon, Janet Prichard, David Yates
Information Systems and Analytics Department Faculty Journal Articles
This study examines how the Twittersphere talked about candidates running for the U.S senate in the 2018 congressional elections. We classify Twitter users as Liberal or Conservative to better understand how the two groups use social media during a major national political election. Using tweet sentiment, we assess how the Twittersphere felt about in-group party versus out-group party candidates. When we further break these findings down based on the candidates’ gender, we find that male senatorial candidates were talked about more positively than female candidates. We also find that Conservatives talked more positively about female Republican candidates than they did …
Tufts Analytics Without Borders 2020 Conference Conference Summary Report,
2020
Bryant University
Tufts Analytics Without Borders 2020 Conference Conference Summary Report, Tufts University
Analytics Without Borders
This conference provided a single venue for interdisciplinary research, collaboration, and communication on applied data analytics in the fields of business, public health, nutrition, and the environment. We advanced a shared agenda to harness the power of data sciences to discuss the complexities of health and nutrition problems through the lens of data sciences. The conference showcased numerous opportunities for students including hands-on workshops on topics related to data sciences, panel discussions on topics ranging from business to health, and both oral and poster presentations for sharing research.
2019-2020 Morehead State University Audit Report,
2020
Morehead State University
2019-2020 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.
Morehead State University Audit Reports
2019-2020 Audit Report for Morehead State University.
The Tragedy And Reliability Of Zambian Trade Data,
2020
University of Zambia
The Tragedy And Reliability Of Zambian Trade Data, Dale Mudenda, Maio Bulawayo, Manenga Ndulo
Zambia Social Science Journal
Trade is an essential engine of growth and poverty reduction. Yet trade data suffers from poor quality and inconsistencies. There are several reasons for this: trade data is collected with little coordination between the reporting agencies and the central statistical offices, inadequate resources located to the data gathering agencies undermines archival process of good data, normal statistical errors of measurement and observation, and various complexities associated with international trade such as trade misinvoicing. This study explored the poor quality and inconsistencies in Zambian trade data which might render efforts at policy formulation to boost intra-regional trade and resolve issues of …
Analysis Of Massive Online Medical Consultation Service Data To Understand Physicians’ Economic Return: Observational Data Mining Study,
2020
Binghamton University--SUNY
Analysis Of Massive Online Medical Consultation Service Data To Understand Physicians’ Economic Return: Observational Data Mining Study, Jinglu Jiang, Ann-Frances Cameron, Ming Yang
Management and Accounting Faculty Scholarship
Background: Online health care consultation has become increasingly popular and is considered a potential solution to health care resource shortages and inefficient resource distribution. However, many online medical consultation platforms are struggling to attract and retain patients who are willing to pay, and health care providers on the platform have the additional challenge of standing out in a crowd of physicians who can provide comparable services. Objective: This study used machine learning (ML) approaches to mine massive service data to (1) identify the important features that are associated with patient payment, as opposed to free trial–only appointments; (2) explore the …
Studying The Effects Of The Skewness Of Inter-Arrival And Service Times On The Probability Distribution Of Waiting Times,
2020
Old Dominion University
Studying The Effects Of The Skewness Of Inter-Arrival And Service Times On The Probability Distribution Of Waiting Times, Rodrigo Romero-Silva, Sabry Shaaban, Erika Marsillac, Margarita Hurtado-Hernandez
Information Technology & Decision Sciences Faculty Publications
Previous studies have shown that the mean queue length of a GI/G/1 system is significantly influenced by the skewness of inter-arrival times, but not by the skewness of service times. These results are limited because all the distributions considered in previous studies were positively skewed. To address this limitation, this paper investigates the effects of the skewness of inter-arrival and service times on the probability distribution of waiting times, when a negatively skewed distribution is used to model inter-arrival and service times. Subsequent to a series of experiments on a GI/G/1 queue using discrete-event simulation, results have shown that the …
Collectors Beware: A Glimpse Into The High-Risk, High-Reward World Of Antiquities And Its Dark Underbelly,
2020
Sotheby's Institute of Art
Collectors Beware: A Glimpse Into The High-Risk, High-Reward World Of Antiquities And Its Dark Underbelly, Claire M. Purcell
MA Theses
The market for Antiquities often sparks fierce moral and legal debates amongst the public and professionals. What most do not concern themselves with is the unusually high level of risk the market functions under. From cultural heritage concerns, to the surprising abundance of fake Antiquities available for purchase, and the dark market entwined with legitimate business, the market is saturated with danger and yet continues to operate. This thesis will investigate how the market forces come together, considering the differing roles preformed by collectors, museums, auction houses, galleries, and Antiquities dealers. In an attempt to answer the question, how does …
Price Prediction In The Sharing Economy: A Case Study With Airbnb Data,
2020
University of New Hampshire
Price Prediction In The Sharing Economy: A Case Study With Airbnb Data, Brandon Mcneil
Honors Theses and Capstones
Many sharing-economy companies like Airbnb have their profits rely on the dynamic pricing market that they participate in. Airbnb hosts can set their own price based on what they deem the market will buy. Recent research argues that almost all hosts fail to maximize their potential profit due to poorly pricing their listing (Gibbs et al., 2018). While previous studies have looked at how specific variables effect the price of an Airbnb listing, this study aims to be the first to group variables separately into two distinct categories based on the host’s ability to control that variable. Looking at two …
Predicting Gross Revenue Using Online Movie Reviews,
2020
University of New Hampshire, Durham
Predicting Gross Revenue Using Online Movie Reviews, Cara J. Small
Honors Theses and Capstones
Today, many people check the ratings and reviews of a movie before they watch it. A review can be easily published online and seen by thousands of people, and this can change a person’s opinion on whether or not they see the film. With the increasing presence of online platforms, it has changed the way people express their thoughts and feelings. There are many different platforms people can go to find varying opinions on a particular movie. This research will consider the problem of predicting a movie’s overall gross revenue. We focus on ratings, reviews and information given on the …
A Little Birdy Told Me: Analysis Of The Impact Of Public Tweet Sentiment On Stock Prices,
2020
Claremont Colleges
A Little Birdy Told Me: Analysis Of The Impact Of Public Tweet Sentiment On Stock Prices, Alexander Novitsky
CMC Senior Theses
The combination of the advent of the internet in 1983 with the Securities and Exchange Commission’s ruling allowing firms the use of social media for public disclosures merged to create a wealth of user data that traders could quickly capitalize on to improve their own predictive stock return models. This thesis analyzes some of the impact that this new data may have on stock return models by comparing a model that uses the Index Price and Yesterday’s Stock Return to one that includes those two factors as well as average tweet Polarity and Subjectivity. This analysis is done with ten …
An Econometric Evaluation Of Localism And Other Potential Success Factors In California’S Craft Brewing Industry,
2020
Claremont Colleges
An Econometric Evaluation Of Localism And Other Potential Success Factors In California’S Craft Brewing Industry, Connor Sinclair
CMC Senior Theses
As growth of the American craft brewing industry slows and smaller firms account for a greater proportion of expansion, I test whether traits that are indicative of smaller firms have an effect on brewery success. I hypothesize that firms which utilize localist strategies such as geographical branding, use of local ingredients, charitable giving, and/or sustainable practices are more successful than others and therefore produced more barrels of beer in 2017. To test my hypothesis, I estimate ordinary least squares regressions with robust standard errors using data collected from the Brewers Association and the websites of 362 California craft breweries. I …
Cambridge Analytica: The Scandal On Data Privacy,
2020
Augustana College, Rock Island Illinois
Cambridge Analytica: The Scandal On Data Privacy, Carissa Boerboom
Augustana Center for the Study of Ethics Essay Contest
Consumers need to understand the risks and consequences of sharing their lives with the world. For data analysts, even if you can create and implement a model, should you? This research paper discusses Cambridge Analytica’s methods using predictive analytics and Facebook to influence the 2016 US Presidential Election. Through examining the firm as a whole, key people involved in the scandal, methods of data collection, and Facebook’s role, the ethical boundaries of big data, predictive analytics, and data privacy are analyzed. Three perspectives were discussed in regards to ethical disparity: Cambridge Analytica, Facebook, and the consumers. Overall, this research exposes …
Plithogenic N- Super Hypergraph In Novel Multi -Attribute Decision Making,
2020
University of New Mexico
Plithogenic N- Super Hypergraph In Novel Multi -Attribute Decision Making, Florentin Smarandache, Nivetha Martin
Branch Mathematics and Statistics Faculty and Staff Publications
An optimal decision-making environment demands feasible Multi-Attribute Decision-Making methods. Plithogenic n – Super Hypergraph introduced by Smarandache is a novel concept and it involves many attributes. This article aims to bridge the concept of Plithogenic n-Super Hypergraph in the vicinity of optimal decision making. This research work introduces the novel concepts of enveloping vertex, super enveloping vertex, dominant enveloping vertex, classification of the dominant enveloping vertex (input, intervene, output dominant enveloping vertices), plithogenic connectors. An application of Plithogenic n-super hypergraph in making optimum decisions is discussed under various decision-making scenarios. Several insights are drawn from this research work and will …
Interest Rate Volatility And Macroeconomic Dynamics: Heterogeneity Matters,
2020
Villanova University
Interest Rate Volatility And Macroeconomic Dynamics: Heterogeneity Matters, Michael Curran, Adnan Velic
Articles
We examine the relation between real interest rate volatility and aggregate fluctuations for a diverse sample of countries. Compiling a new dataset including emerging and advanced countries, the substantial variation in our data yields novel results: (a) stochastic volatility outperforms Markovswitching in representing interest rates, (b) some advanced economies can be more volatile than emerging markets, and (c) creditors take on more debt following volatility shocks. We show how an equilibrium business cycle model with uncertainty shocks can generate these facts. Sample heterogeneity produces significant parameter differences, playing an important role in distinguishing the effects of volatility shocks.
