DATA MINING AND DATA WAREHOUSING (BSCS3530)

DATA WARE HOUSING AND BUSINESS ANALYSIS

Dr. Sasikumar Periyannan (GALGOTIAS UNIVERSITY, 2019)

Data warehousing Components–Buildinga Data ware house–Mapping the Data Warehouse to a Multiprocessor Architecture–DBMS Schemas for Decision Support Metadata-Business Analysis-Online Analytical Processing(OLAP)

Unknown author (GALGOTIAS UNIVERSITY, 2019)

Clustering

Unknown author (2019)

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Unknown author (GALGOTIAS UNIVERSITY, 2019)

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Unknown author (GALGOTIAS UNIVERSITY, 2019)

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Unknown author (GALGOTIAS UNIVERSITY, 2019)

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Unknown author (GALGOTIAS UNIVERSITY, 2019)

Basic Concepts –Decision Tree Induction –Tree Pruning -Bayesian Classification Methods – Bayes ’ Theorem -Naive Bayesian classification –Rule Based Classification –Classification by Back-propagation –Support Vector Machines –Prediction

Unknown author (GALGOTIAS UNIVERSITY, 2019)

ASSOCIATION RULES Basic Concepts - Market Basket Analysis - Frequent Itemsets, Closed Itemsets and Association Rules - Frequent Itemset Mining Methods – Apriori Algorithm – Generating Association Rules - Frequent pattern growth - Mining Various Kinds of Association Rules

Unknown author (GALGOTIAS UNIVERSITY, 2019)

Unit II : ASSOCIATION RULES Basic Concepts - Market Basket Analysis - Frequent Itemsets, Closed Itemsets and Association Rules - Frequent Itemset Mining Methods – Apriori Algorithm – Generating Association Rules - Frequent pattern growth - Mining Various Kinds of Association Rules

Unknown author (GALGOTIAS UNIVERSITY, 2019)

Unit II : ASSOCIATION RULES

N/A (GALGOTIAS UNIVERSITY, 2019)

DATA MINING AND DATA WAREHOUSING (BSCS3530)

Browse by

Recent Submissions

DATA WARE HOUSING AND BUSINESS ANALYSIS

Data warehousing Components–Buildinga Data ware house–Mapping the Data Warehouse to a Multiprocessor Architecture–DBMS Schemas for Decision Support Metadata-Business Analysis-Online Analytical Processing(OLAP)

Clustering

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Basic Concepts –Decision Tree Induction –Tree Pruning -Bayesian Classification Methods – Bayes ’ Theorem -Naive Bayesian classification –Rule Based Classification –Classification by Back-propagation –Support Vector Machines –Prediction

ASSOCIATION RULES Basic Concepts - Market Basket Analysis - Frequent Itemsets, Closed Itemsets and Association Rules - Frequent Itemset Mining Methods – Apriori Algorithm – Generating Association Rules - Frequent pattern growth - Mining Various Kinds of Association Rules

Unit II : ASSOCIATION RULES Basic Concepts - Market Basket Analysis - Frequent Itemsets, Closed Itemsets and Association Rules - Frequent Itemset Mining Methods – Apriori Algorithm – Generating Association Rules - Frequent pattern growth - Mining Various Kinds of Association Rules

Unit II : ASSOCIATION RULES

DATA MINING AND DATA WAREHOUSING (BSCS3530)

Browse by

Recent Submissions

DATA WARE HOUSING AND BUSINESS ANALYSIS ﻿

Data warehousing Components–Buildinga Data ware house–Mapping the Data Warehouse to a Multiprocessor Architecture–DBMS Schemas for Decision Support Metadata-Business Analysis-Online Analytical Processing(OLAP) ﻿

Clustering ﻿

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis ﻿

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis ﻿

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis ﻿

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis ﻿

Basic Concepts –Decision Tree Induction –Tree Pruning -Bayesian Classification Methods – Bayes ’ Theorem -Naive Bayesian classification –Rule Based Classification –Classification by Back-propagation –Support Vector Machines –Prediction ﻿

ASSOCIATION RULES Basic Concepts - Market Basket Analysis - Frequent Itemsets, Closed Itemsets and Association Rules - Frequent Itemset Mining Methods – Apriori Algorithm – Generating Association Rules - Frequent pattern growth - Mining Various Kinds of Association Rules ﻿

Unit II : ASSOCIATION RULES Basic Concepts - Market Basket Analysis - Frequent Itemsets, Closed Itemsets and Association Rules - Frequent Itemset Mining Methods – Apriori Algorithm – Generating Association Rules - Frequent pattern growth - Mining Various Kinds of Association Rules ﻿

Unit II : ASSOCIATION RULES ﻿

DATA WARE HOUSING AND BUSINESS ANALYSIS

Data warehousing Components–Buildinga Data ware house–Mapping the Data Warehouse to a Multiprocessor Architecture–DBMS Schemas for Decision Support Metadata-Business Analysis-Online Analytical Processing(OLAP)

Clustering

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Cluster Analysis–Partitioning Methods–Hierarchical Methods–Density Based Methods–Grid Based Methods–Outlier Analysis

Basic Concepts –Decision Tree Induction –Tree Pruning -Bayesian Classification Methods – Bayes ’ Theorem -Naive Bayesian classification –Rule Based Classification –Classification by Back-propagation –Support Vector Machines –Prediction

ASSOCIATION RULES Basic Concepts - Market Basket Analysis - Frequent Itemsets, Closed Itemsets and Association Rules - Frequent Itemset Mining Methods – Apriori Algorithm – Generating Association Rules - Frequent pattern growth - Mining Various Kinds of Association Rules

Unit II : ASSOCIATION RULES Basic Concepts - Market Basket Analysis - Frequent Itemsets, Closed Itemsets and Association Rules - Frequent Itemset Mining Methods – Apriori Algorithm – Generating Association Rules - Frequent pattern growth - Mining Various Kinds of Association Rules

Unit II : ASSOCIATION RULES