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A Statistical Perspective on Data Mining

Category: Data Management

Tags: data mining, data

Overview Technological advances have led to new and automated data collection methods. Datasets once at a premium are often plentiful nowadays and sometimes indeed massive. A new breed of challenges are thus presented - primary among them is the need for methodology to analyze such masses of data with a view to understanding complex phenomena and relationships. Such capability is provided by data mining which combines core statistical techniques with those from machine intelligence. This paper reviews the current state of the discipline from a statistician's perspective, illustrates issues with real-life examples, discusses the connections with statistics, the differences, the failings and the challenges ahead.

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Publisher
University of Maryland
File Format
PDF
Date Published
Oct 7, 2008
Format
White Papers
Topics
Knowledge and Data Management, Data Mining - Analysis

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