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Data Mining
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206 papers

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What is Data Mining?

Data mining is the process of extracting patterns, correlations, and actionable insights from large datasets, and it sits at the intersection of computer science, statistics, and business strategy. Students encounter this topic in courses covering information systems, business intelligence, database management, and healthcare informatics. Its academic interest lies in how organizations transform raw, accumulated data into competitive advantage—turning records of customer behavior, market activity, and operational performance into structured knowledge that drives decisions.

The papers collected here approach data mining from several directions. Business-focused essays examine how companies use mining tools to understand customer behavior, segment markets, and improve products, often framing the discussion around CRM applications and business intelligence systems. A second strand concentrates on healthcare, exploring data mining in patient records and healthcare information systems, including the role of data warehousing as a storage and retrieval foundation. Other papers take a broader organizational lens, asking how and why companies should implement data warehousing and mining systems together, and what drawbacks accompany these technologies alongside their contributions.

A strong essay on data mining begins with a focused thesis that specifies a domain—healthcare, retail, CRM—and a clear evaluative claim about effectiveness, risk, or implementation. Evidence carries most weight when it moves from general definitions toward concrete analysis of tools, techniques, or outcomes within that domain. Students should distinguish clearly between data warehousing and data mining, since conflating the two undermines analytical precision. Avoid padding the paper with broad technology history; instead, keep the argument anchored to how mining methods produce specific, verifiable results in the context you have chosen.

206 papers

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Paper Doctorate

Congressional methods for coordinating U.S. intelligence operations and counterterrorism

The existing global threats to American citizens have forced to adopt some strategies to coordinate its intelligence capacities. This study has identified methods like defensive analysis, offensive counterespionage and CFSO. The differences between Jose Padilla from Timothy McVeigh on global stage are clear in this study. Internationalization or globalization of terrorism is a new facet, which has entered the world trends of communication, interaction, international relations, and trade.

Paper Undergraduate

Data mining and value mapping in marketing strategy

The questions of how data mining is used in marketing, the fundamentals of market segmentation, definition of market research strategies, and the role of value maps are defined in this document. There is also an analysis of data mining in the context of creating more effective marketing strategies.

Paper Undergraduate

Ethical implications of data mining and consumer privacy protection for marketers

The role of data mining and analytics in marketing continues to challenge the privacy of consumers globally. Without effective controls for managing these many systems it is clear the consumer is at a disadvantage. The goal of this analysis is to show how digital privacy is a major issue for marketers to deal with today if they are to retain their credibility over the long-term.

Essay Doctorate

Total quality management in product design, performance, and conformance

One approach to inefficiencies in the workplace is called Total Quality Management, or TQM. In this model, the focus is on identification of the underlying system defects that allow the opportunity for an error to even occur. Then, instead of placing a Band-Aid on a problem that already exists, systems are in place so that errors do not happen in the first place

Research Paper Doctorate

American HIV prevention in an era of false security

American HIV Prevention in an Era of False Security - an Investigative Study

Essay Doctorate

Forecasting methods in modern business organizations and applications

There are three basic forecasting methods namely the time series methods, the regression methods, and qualitative methods. Qualitative methods use management judgment, expertise, and opinion to make forecasts.

Paper Doctorate

Legal risks and compliance challenges for WestJet airlines

Businesses throughout the world are often confronted with various legal issues in the course of carrying out business operations. Various laws have been created to protect consumers and companies from harm.

Paper Undergraduate

SOPA and PIPA: balancing copyright protection against free speech rights

File sharing involving copyright infringement began as peer-to-peer operations, sometimes with the involvement of a central server that acts as a search engine. Recently there has been a rise in file sharing where the infringing content is actually stored on the central server, such as the now-defunct megaupload.com. Consequently, there is a conflict between the rights of content owners and the rights of ordinary users of the internet. The conflict here is that efforts to eliminate sites that enable online infringing may also eliminate legitimate internet activity. In the fall of 2011 the SOPA (Stop Online Piracy Act) and PIPA (Protect Intellectual Property Act) proposals were introduced into the US Congress.

Paper Undergraduate

Glo-Bus digital camera company marketing and operations strategy

Included are marketing strategy plans, human resource plans and operational plans for Glo Bus. Glo-Bus is a U.S. based international digital-camera company with production operations in Taiwan. The industry is cyclical and highly competitive with a market growing 8-10% per annum and heavily price elastic due to volume and technological improvements in digital phone devices.

Paper Undergraduate

Public health informatics: surveillance, policy, and population health decisions

This paper contains three short essays, all of which pertain to modern ethical issues in healthcare.The first essay deals with the field of healthcare informatics in public policy; the second discusses the ethical issues that arise when conducting drug trials in Africa; the third discusses interventions by the CDC specifically designed to reduce healthcare disparities.

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