This study introduces the Tomahawk simulation method as a novel win estimator similar to established Pythagorean expectation. The dataset has been obtained from Kaggle. Xingchen Chen, Direct Mail Campaign Geography Optimization, August 2020, (Peng Wang, Farhad Rahbardar). The analysis of downs, yard line, and distance to the goal line allows for the drive situation to be calculated and analyzed. support, confidence and lift. ABC’s major drug XYZ is in the market for a few years and has a major market share. The results show that the robust optimization model performs the best in terms of stability. The purpose of this study is to compare different data-mining methods to select the best customers to send the promotion catalog. Sanket Purbey, Spotify Tracks Clustering and Visualization: Creating playlists by preferentially ordering audio features, April 2017, (Jeff Shaffer, Michael Fry) Jasmine Ding, Comparison Study of Common Methods in Credit Data Analysis, August 2017, (Peng Wang, Dungang Liu) The deposits, transfers and the spending of the customer can be linked and the complete profile and spending behavior can be studied. Random Forest model was used to identify the trigger factors and also predict the high donors on the prospect population. Jing Sang, A Statistical Analysis of the Workers' Compensation Claims System, December 3, 2013 (Uday Rao, Hui Guo [Department of Finance]) Using analytics to select the right set of customers within a target group helps businesses optimize costs and focus on the right set of customers. For organizations and companies, managing public perception is very important. Employee attrition leads to significant cost to business, including hiring expenses, training new employee along with lost sales and productivity. For this exploratory data analysis was done to understand the data and figure out if any relationships exist within the data. Cocok bagi Anda yang sedang liburan bersama dengan pasangan karena fasilitas apartemen yang sangat menarik. Within more than 3 million SKUs involved and more than 2 million of these still unclassified, the current pace and accuracy of classifying these products was not sustainable. By comparing the various model performances it is observed that for out-of-sample prediction, neural networks, logistic regression and random forests perform better. Prior beliefs in assembly barriers will be tested using these data. Since then, record levels of mortality due to severe winter weather and recurrent toxic red tide algal bloom indicate that proposal may have been premature. Genre classification is an important task for any online music streaming service. There are two tasks covered here. Further exploratory data analysis was conducted in order to determine the effect of volunteering on donation amount. The Cintas Uniform Service provides services such as renting, designing, and manufacturing customized uniforms for employees in various companies. The realization of its benefits has also resulted in its use on various Sports events. The data ranges from 2011-01-29 to 2016-06-19. Even though the percent of a fraudulent transaction is very low in proportion to the total transactions, fraud transactions can hamper the consumer sentiment. Classification models such as Logistic Regression and Classification Trees were built to classify the Kickstarter projects. The detected breaks positions were validated with the QLR test (Quandt Likelihood Ratio). While working here, I have used technologies like SQL, R, Tableau etc. Different models are built and then compared to assess the accuracy. We will describe how to include them in the simulation model. Dimension reduction significantly improved the performance of the models. Kratika Gupta, Talkingdata Adtracking Fraud Detection Challenge, August 2019, (Peng Wang, Liwei Chen) Human resources plays an important part of developing and making a company or an organization. Andrew Nguyen, Optimizing Clinic Resource Scheduling Using Mixed-Integer and Scenario-Based Stochastic Linear Programming, August 5, 2011 (Craig Froehle, Jeffrey Camm) Natural language processing can help organizations build custom tools to process this information to gather valuable insights that drive businesses. In response, local air-traffic control towers may elect to use mitigation strategies to minimize aircraft space and time separation with the addition of a space - time buffer for each aircraft pairing on approach. The income prediction has also been an area of interest for many companies as this information would enable them to achieve greater understanding of consumer and market behavior. Regression models for parameter estimation based on these methods are developed and applied through a case study using China's real economic data from 1990 to 2008. These valuable insights drive organizations, which provide the technology to different market sectors. From frontline support teams to C-suites, customer satisfaction is a key measure of success. With the rapid development of telecommunication industry, the service providers are inclined more towards expansion of the subscriber base. It offers omnichannel engagement, meaning shoppers can engage however and whenever they want, whether it be through web, mobile or social. These methods are meant to not only search for and analyze the potential barriers but prescribe fixes both temporary and permanent that Owner/Operators may adopt to improve operations and sales. Jin Sun, Internship at West Chester Protective Gear, December 2016, (Yichen Qin, Yan Yu) This study evaluates whether independently sampling from those new variates and reversing the principal-component-analysis transformation can efficiently match the correlations, means, and variances of an original sample. With multiple vehicles delivering at the same time, this can save a lot of time. Data Mining techniques can be used to develop a cross selling strategy for the products. The method is then evaluated using samples of correlated Weibull variables. Because music is such a universal and beloved form of art and entertainment, exploring how popular music has changed over the years could provide interesting and valuable insight both for consumers and for the music industry (musicians, songwriters, lyricists). To perform the analysis, data from 2013-2014 was gathered. Mrinmayi Gadre, Cincinnati Zoo: Predicting the number of visitors (zoo members and non-members) using forecasting methods, April 2015, (Craig Froehle, Yichen Qin) Employees are an asset to any organization, and the key to any firm’s success. Bayesian decisive prediction is then applied by using conjugate priors and a BLINEX loss function to predict the optimal activation score for a future trial. Optimal models are solved using AMPL/CPLEX and a genetic algorithm is coded in C to represent a meta-heuristic solution method. Instead, model comparison was done on ROC AUC score. In this project, we present a description of LMMs by building a model in the field of marketing, using a step-up model-building strategy with which we can illustrate the hierarchical structure of LMMs. I plotted graphs for all features when the app was downloaded, and the app wasn’t downloaded. Santosh Kumar Biswal, Telco Customer Churn Prediction, July 2019, (Dungang Liu, Yichen Qin) The prediction techniques used are Linear regression, Generalized Additive Models, Regression trees. The analysis will be done while maintaining data privacy. This is particularly important during heavy storms when sewers tend to overflow causing floods. The reason for changing only the ‘cases’ lever is because case density was a major factor that goes into the calculation of the score for a county. Promotion of services or products is done by either using mass campaign or direct marketing. Using historical performance data of various auto loan portfolios at a regional commercial bank, the paper demonstrates that the proposed VARMAX model consistently outperforms roll-rate models across various loan portfolios. This project analyzes the tweets to understand their sentiment over time. This approach is based on the assumption that bank failures may follow a similar mechanism as the corporations in other industries. The performance metrics are then observed from Compustat quarterly one year before through one year after the disruption announcements. Setelah puas berwisata Anda bisa mencoba berbagai macam kuliner Jakarta Utara yang khas dan enak serta tidak bikin kantong bolong. A local manufacturer is planning to expand its facility in 2014. Using the tensorflow framework, the images were predicted at an accuracy of 95.28. The objective of this report is to give details of the work performed as part of my internship at Education Services Group, Cincinnati, Ohio. Di tempat wisata ini Anda bisa menikmati berbagai suguhan wisata yang menarik seperti pantai dan taman. There were 16 variables in the training dataset and 15 variables in the testing dataset. However, for continuity in growth, its essential to retain their workforce and make the employees feel valued. Premier League is a soccer league filled with rumors, sources, news, and critics. Evaluation is done on area under the ROC curve between the predicted probability and the observed target. Model comparisons are done on the basis of the cost of misclassification with a case study of two scenarios. Hareeshbabu Potheypalli, Labeling School Budget Data Using Machine Learning and NLP, August 2019, (Yan Yu, Yichen Qin) Matthew Wesselink, Analysis of NBA Draft Selections, July 2017, (Yichen Qin, Edward Winkofsky) The data available is transactional data of orders from customers over time. A direct-mail marketing campaign starts by obtaining a name list through in-house data warehouses or external providers. Other Models tried included Regression Trees, Random Forest, and LASSO Regularization. Madhava Chandra, Analysis on Loan Default Prediction, July 2018, (Yichen Qin, Peng Wang) The capstone project involves setting up campaigns and defining audience size, test goals, KPIs and measurement methodologies for the consumers of a big multinational client of Brillio. Pravallika Kalidindi, Analysis of Balance Transfers and Credit Line Increase Programs for Credit Cards, August 2019, (Michael Fry, Jacob George) Finally, combining the considered products from both the methods, a final list of products has been recommended by giving equal weightage to both methods. In this case, lexicon-based sentiment analysis of tweets on Windows 10 revealed that only 24% of the users had a positive opinion. We aim at processing data and getting it to a form that is presentable. The objective of this study is to develop a handicapping technique by analyzing world running records, using frontier analysis. Valentina Pilipenko, Ph.D., Improving the Calling Genotyping Algorithm Using Support Vector Machines, August 20, 2010 (Martin Levy, Lisa Martin [UC College of Medicine]) Transfer Learning (TL) has thus changed the face of DL in NLP in the recent years by allowing us to take pretrained state of the art models and fine tuning them to suit the task at hand , thus obviating the need for training language models from scratch. Growth-curve percentile values (3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, and 97th percentiles) for each age group by gender were calculated. 96.05% of the customers are satisfied and only 3.95% are dissatisfied, making this classification problem to be highly imbalanced. This implies that if the smaller company defaults in paying back its loan, the company owning or guaranteeing for it is responsible for the entire loan taken by the smaller company. Exploratory data analysis and text mining procedures were performed to develop a predictive model that classifies for duplicate question pairs. Models will be constructed integrating the data with knowledge of the system. in order to predict the demand. The optimization procedure was designed at three different levels: optimizing the selling area of products in a whole store; optimizing the floor area of products within each floor of a store; and optimizing the selling space within each product category in a store. By prioritizing customers based on their respective purchase score, they can reduce the expense of marketing and get higher conversion rate and therefore better ROI. Later, I will split data into training sample and testing data and use MSE to measure the performance of each methods. Hence, an alternative model was built using just the significant levels of the categorical variables found significant in the previous model. The results from two regression models were compared to investigate whether the cycling program reduces the overall daily kWh consumed by the customers or just simply shifts the usage to non-cycling hours after the cycling event interruptions are released. The CHAID decision tree is more robust than CART in model building and interpretation. Four of these 6 models have a very similar performance, and they improve the net profit generated from the marketing campaign by 50%. If the reasons behind employee attrition are identified, the company can create a better working environment for the employees and if employee attrition can be predicted, the company could take necessary actions to stop the valuable employees from leaving. Apriori algorithms and association rules are used for market basket analysis to achieve this. This project uses a Random Search algorithm paired with a Monte Carlo simulation study in order to find “Optimal” Catastrophe Reinsurance structures. The complexities of the health care system and the lack of comparative information about how services are accessed, provided, and paid for were the driving force behind this legislation. Moreover, given current demand, the results suggest that it is not in the airline's interest to limit the number of distribution channels, though the relative strength of the distribution agencies is determined and one is targeted as an opportunity for possible future disengagement. It is also certain that having more reviews for a product will result in a high conversion rate for that product. Pramit Singh, Sentiment Analysis of First Presidential Debate of 2016, December 2016, (Amitabh Raturi, Aman Tsegai) Standards organization is responsible for supply of standards (such as nuts, bolts, rivets) for assembling aircraft. From fashion to items for daily use to movies, there are a plethora of options for a user surfing the web. These matrices help the marketing team streamline their campaigns. In machine learning, logistic regression is used for predicting the probability of occurrence of an event and the probability can be turned into a classification. The data was also used to perform a market basket analysis to understand their purchase patterns. In 2007, the U.S. Jing Gao, Patient Satisfaction Rating Prediction Based on Multiple Models, August 2017, (Peng Wang, Liwei Chen) Sanjana Bhosekar, Sales Prediction for BigMart, July 2019, (Dungang Liu, Edward Winkofsky) This work may help investors untangle the intricacies behind corporate investments, and better to prepare investors to make judicious investment decisions when investing in North American and Japanese firms without the consideration of boundaries. This thesis uses advanced statistical procedures – Time Series Analysis, K-means Clustering, and Association Rules Analysis – to detect sales trends, forecast future sales, and improve promotional strategies for these items. We then compared the various machine learning algorithms like logistic regression, Decision trees and Random forest to find out which algorithm can most accurately predict the outcome. Over-sampling is leading to a good mixture of precision and recall values. It finds out that Hamilton, Kenton, Campbell, Montgomery, Clark, Warren, Individual, Self Referred, Referral, Information Only, Black/African American, Family, and Agency have relationship with basic needs. Anvita Shashidhar, Data Warehouse and Dashboard Design for a Hospital Asset Management System, July 2015, (Andrew Harrison, Brett Harnett) The aim of this project is to forecast the daily and monthly attendance for a year. Performance score were calculated based on relative sales and discount ratios. This report provides a recommendation of products (movies) to be licensed for an African country channel. If the customers see them, it has higher probability that they will purchase them together. The major clients for Dymatize are Amazon, BB.com, Walmart etc. This study proposes a Vector AutoRegressive and Moving-Average processes with eXogenous regressors (VARMAX) model to overcome constraints and limitations imposed by commonly used roll-rate models. Direct marketing is a technique many institutions employ to reach out to potential customers who in general would not know about the product being marketed otherwise. However, processing times of patients for each type of staff member vary in an actual clinical setting, so a stochastic model may be more appropriate. Mahadevan Sambasivam, Factors Affecting Inpatient Reimbursements Using the Medicare Hospital Cost Reports -- A Case Study, June 1, 2011 (James Evans, Uday Rao)
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