HomeLibraryData Mining and Data Warehousing

Cover of Data Mining and Data Warehousing

Accessible digital edition

DIGITAL E-BOOKBachelor

EXPLORE THIS TITLE

Data Mining and Data Warehousing

Bachelors Program in AI & ML

Explore Data Mining and Data Warehousing as part of Bachelors Program in AI & ML. Read the syllabus and available chapters online.

Academic programmeBachelors Program in AI & ML

LevelBachelor

Reading sections16

SourceLibrary syllabus and chapters

No account needed • Read on any device

INSIDE THE BOOK

Explore the chapters.

Jump into any section and continue reading at your own pace.

Data Mining and Data WarehousingSyllabus

Foundations Of Data Mining And Data WarehousingChapter 1

Data Warehouse Architecture And DevelopmentChapter 2

Dimensional Data ModelingChapter 3

Data Integration Etlelt And Data QualityChapter 4

Olap Business Intelligence And ReportingChapter 5

Knowledge Discovery And Data PreparationChapter 6

Association Frequent Pattern And Sequential MiningChapter 7

Classification And Predictive ModelingChapter 8

Clustering And SegmentationChapter 9

Anomaly Text Web And Graph MiningChapter 10

Model Evaluation Visualization And Analytical Decision MakingChapter 11

Scalable Cloud And Real Time Data PlatformsChapter 12

Deployment Mlops And Ai Enabled AnalyticsChapter 13

Data Governance Security Privacy And EthicsChapter 14

Enterprise Applications Strategy And Future DirectionsChapter 15