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Index 29
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Introduction to Data Warehouse 11 minLecture1.1
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Meta Data 05 minLecture1.2
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Data Mart 06 minLecture1.3
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Data Warehouse Architecture 07 minLecture1.4
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How to draw star schema 10 minLecture1.5
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Olap Operations 08 minLecture1.6
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OLAP VS OLTP 08 minLecture1.7
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K-Mean 12 minLecture1.8
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Introduction to Data Mining 10 minLecture1.9
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Naive Bayes Part #1 18 minLecture1.10
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Apriori algorithm 12 minLecture1.11
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Agglomerative Clustering 13 minLecture1.12
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Knowledge Discovery in Database (KDD 09 minLecture1.13
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Extract Transform and Load (ETL) 09 minLecture1.14
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FP-Tree 15 minLecture1.15
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Decision Tree 24 minLecture1.16
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K -Medoids 21 minLecture1.17
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Naive Bayes Part #2 25 minLecture1.18
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Agglomerative Adjacency Matrix 05 minLecture1.19
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DBSCAN 04 minLecture1.20
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Design Strategy of Data warehouse and Data Mining 12 minLecture1.21
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Types of Attribute for Data Exploration 09 minLecture1.22
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K mean clustering Sum – Type 2 where K=2 23 minLecture1.23
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Data Preprocessing Part #1 17 minLecture1.24
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Data Preprocessing Part #2 09 minLecture1.25
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Data Visualization Part #1 11 minLecture1.26
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Data Visualization Part #2 11 minLecture1.27
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Schema Design – Dimension Modeling Part #1 16 minLecture1.28
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Schema Design – Dimension Modeling Part #2 11 minLecture1.29
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Data Warehouse and Data Mining NOTES and Importance 2
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Data Warehouse and Data Mining NOTESLecture2.1
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Data Warehouse and Data Mining ImportanceLecture2.2
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Data Warehousing and Mining Viva Question 6
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IntroductionLecture3.1
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Introduction to Data Mining,Data Exploration and Data Pre-processingLecture3.2
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ClusteringLecture3.3
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ClassificationLecture3.4
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Mining frequent patterns and associationsLecture3.5
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Web MiningLecture3.6
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nice
Hi
I am not getting any.. here only the msg is given
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