For this project, a data mining, visualization, and modeling technique will be developed and tested specifically for emails, using publicly available datasets. The mining will consist of gathering email and other potentially related datasets and cleaning those datasets. Cleaning will consist of removing duplicate or unnecessary information, as well as labeling data with basic information […]

Corporations are under a lot of scrutiny, especially when they annually release their financial reports to the government. If a corporation makes a mistake, or if an employee submits fraudulent information, or if it appears that either is the case, then they risk being asked to amend the filing by the government, which will cause […]

Nowadays a corporation’s public image plays a major role in that company’s decisions and financials. This project involves predicting fraud and errors within the financial statements of publicly traded companies. The goal is to incorporate information such as press releases and industry media coverages to provide an insight to these companies under audit and their […]

The main aim of this project is to design a database that provides a simplified way for individuals without the technical background to query information from the database. Such a database will operate on natural language, where the user asks the database a question about information retrieval and it presents the user with suitable answers. […]

Firms meet legally established accounting rules by including notes in financial statements that essentially hide key information in plain sight. That is, they contain information necessary to understand the statements, but due to the volume of notes and arcane language may be uninterpretable by even lawyers. However, these notes may be interpretable by a software […]