DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Social Network Analysis
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Market Basket Analysis
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Outlier Detection
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Intrusion Detection
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Detailed explanation-1: -Data processing and statistical analysis.
Detailed explanation-2: -Pattern mining has been used for the analysis of sequence or structural data including trees, graphs, subsequences, and networks. In software engineering, researchers have coherent consecutive or gapped subsequences in code execution as sequential patterns that support identify software errors.
Detailed explanation-3: -What is Frequent Itemset Mining? Frequent Itemset Mining: Finding frequent patterns, associations, correlations, or causal structures among sets of items or objects in transaction databases, relational databases, and other information repositories.
Detailed explanation-4: -EClaT algorithm Equivalence Class Transformation (EClaT) (Zaki 2000) is an algorithm that mines frequent itemsets efficiently using the vertical data format as shown in Table 3. In this method of data representation, all the transactions that contain a particular itemset are grouped into the same record.