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Data Mining, Data Warehousing and Knowledge Discovery Basic Algorithms and Concepts

Data Mining, Data Warehousing and Knowledge Discovery Basic Algorithms and Concepts. Srinath Srinivasa IIIT Bangalore sri@iiitb.ac.in. Overview. Why Data Mining? Data Mining concepts Data Mining algorithms Tabular data mining Association, Classification and Clustering

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1.06k views • 70 slides

Association Rules: Advanced Topics

Association Rules: Advanced Topics. Apriori Adv/Disadv. Advantages: Uses large itemset property. Easily parallelized Easy to implement. Disadvantages: Assumes transaction database is memory resident. Requires up to m database scans. Vertical Layout. Rather than have

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694 views • 58 slides

Data Mining

Data Mining. Find information from data. data. ?. information. Data Mining. Find information from data. data. Questions What data ? any data What information ? anything useful. ?. information. Data Mining. Find information from data. data. Questions What data ? any data

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453 views • 28 slides

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Frequent itemset x - PowerPoint PPT Presentation

Data Mining, Data Warehousing and Knowledge Discovery Basic Algorithms and Concepts

Association Rules: Advanced Topics

Data Mining