Data Mining - An Overview
Publish place: 05th Iranian Statistics Conference
Publish Year: 1379
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ISC05_024
تاریخ نمایه سازی: 14 دی 1388
Abstract:
Data mining is a process to search for valuable information in large amount of data. Typically, this process includes data collection and integration, data exploration, data preparation for mining, model building, model validation, and performance evaluation. Statistics can and should play a significant role in each step of this process. This article uses four case studies to introduce this process. In addition, a comparison study on statistics and data mining is reported.
Keywords:
Data mining , data integration , data reduction , data preparation neural network , logistic regression and decision trees
Authors
Morgan C. Wang
Department of Statistics, University of Central Flofida, Orlando, FL ۳۲۸۱۶-۲۳۷۰. U.S.A.