'Deviation detection' diaporamas de présentation

Chapter 32

Chapter 32. OLAP and Data Mining Transparencies. Chapter 32 - Objectives. Purpose of online analytical processing (OLAP) and how OLAP differs from data warehousing. Key features of OLAP applications. Potential benefits associated with successful OLAP applications.

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Analytical and Visual Data Mining Michael Welge welge@ncsa.uiuc.edu Automated Learning Group, NCSA www.ncsa.uiuc.edu/STI

Analytical and Visual Data Mining Michael Welge welge@ncsa.uiuc.edu Automated Learning Group, NCSA www.ncsa.uiuc.edu/STI/ALG October 14, 1998. Database analysis, decision support, and automation Market and Sales Analysis Fraud Detection Manufacturing Process Analysis

712 views • 53 slides

Chapter 35

Chapter 35. Data Mining Transparencies. Chapter Objectives. The concepts associated with data mining. The main features of data mining operations, including predictive modeling, database segmentation, link analysis, and deviation detection.

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Data Mining

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From Data Mining to Knowledge Discovery: An Introduction

From Data Mining to Knowledge Discovery: An Introduction. Gregory Piatetsky-Shapiro KDnuggets. Outline. Introduction Data Mining Tasks Application Examples. Trends leading to Data Flood. More data is generated: Bank, telecom, other business transactions ...

620 views • 32 slides

275 views • 22 slides