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The ways in which data mining can be used can in some cases and contexts raise questions regarding privacy, legality, and ethics. [28] In particular, data mining government or commercial data sets for national security or law enforcement purposes, such as in the Total Information Awareness Program or in ADVISE, has raised privacy concerns. [29 ...
The terms legal case management (LCM), legal management system (LMS), matter management or legal project management refer to a subset of law practice management and cover a range of approaches and technologies used by law firms and courts to leverage knowledge and methodologies for managing the life cycle of a case or matter more effectively.
Additionally, organizational performance management data-mining and analytics applications help firms translate company-level goals, such as profit and sales targets, into operational decisions, as workers KPI and required measured effort levels. [7] Market basket analysis has been used to identify the purchase patterns of the Alpha Consumer ...
Process mining is a family of techniques used to analyze event data in order to understand and improve operational processes. Part of the fields of data science and process management, process mining is generally built on logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event that is occurring; a timestamp; and sometimes other ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept
From January 2008 to December 2012, if you bought shares in companies when Patricia A. Woertz joined the board, and sold them when she left, you would have a -6.6 percent return on your investment, compared to a 2.6 percent return from the S&P 500.
This data mining method has been explored in different fields including disease diagnosis, market basket analysis, retail industry, higher education, and financial analysis. In retail, affinity analysis is used to perform market basket analysis, in which retailers seek to understand the purchase behavior of customers.
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