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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Daily Fantasy Sports: Chance Or Skill?, Danielle Bergner
Daily Fantasy Sports: Chance Or Skill?, Danielle Bergner
Honors Projects in Mathematics
Online daily fantasy sports is a billion dollar industry that has caused controversy for the last few years with states debating its legal status. As of today, under the current United States federal laws and regulations, betting money on daily fantasy sports online is considered legal. However, several states have decided to ban these games within their borders believing they are based on chance and should be considered gambling which they have ruled to be illegal online. Each state has the right to make their own rules of what they consider gambling even if the federal government has allowed it. …
Actual Vs. Perceived Value Of Players Of The National Basketball Association, Stephen Righini
Actual Vs. Perceived Value Of Players Of The National Basketball Association, Stephen Righini
Honors Projects in Mathematics
Over the past few decades the media has played an increasingly large role in shaping how player effectiveness in the National Basketball Association (NBA) is perceived. Several factors have caused fans, announcers, and even NBA team management to have unintentional bias toward certain players. This study aims to utilize various formulas created by NBA statisticians, called Player Raters, to identify how efficient each NBA player actually is in comparison to the rest of the league. Data from the past 12 seasons was compiled and six Player Raters were used to place values on every NBA player since the 2000-2001 season. …
Time Series Data Mining: A Retail Application Using Sas Enterprise Miner, Daniel Hebert
Time Series Data Mining: A Retail Application Using Sas Enterprise Miner, Daniel Hebert
Honors Projects in Mathematics
Modern technologies have allowed for the amassment of data at a rate never encountered before. Organizations are now able to routinely collect and process massive volumes of data. A plethora of regularly collected information can be ordered using an appropriate time interval. The data would thus be developed into a time series. With such data, analytical techniques can be employed to collect information pertaining to historical trends and seasonality. Time series data mining methodology allows users to identify commonalities between sets of time-ordered data. This technique is supported by a variety of algorithms, notably dynamic time warping (DTW). This mathematical …