UNIT 1:
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Knowledge discovery process
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Introduction to data mining systems
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Data mining techniques
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Data pre-processing-cleaning integration reduction
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Data object and attribute type
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Transformation and discretization
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Data visualization
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Introduction to data mining systems
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Introduction to data mining systems
UNIT 2:
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Data warehousing and architecture
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Data warehouse models
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Data warehouse models
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Enterprise warehouse
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Datacube
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Schemas for multidimentional data models
UNIT 3:
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Market basket analysis
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Apriori algorithm
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Apriori algorithm
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Association analysis to correlation analysis
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A pattern growth approach
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Supermarket dataset
UNIT 4:
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Decision tree induction
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Rule based classification
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Classification by back propogation
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Classification by back propogation
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Support vector machines
UNIT 5:
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Basic issues in clustering
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Clustering techniques
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DBSCAN
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Density based clustering
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Basic issues in clustering
