#1
16th April 2015, 02:42 PM
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DWM Syllabus Mumbai University
I am student of B.Tech VI Sem. I heard that Mumbai University changes the Data Warehousing & Mining (DWM) syllabus. Please share the revised syllabus of DWM for the B.Tech VI sem student of computer science with me offered by the Mumbai University?
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#2
13th August 2018, 10:55 AM
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Re: DWM Syllabus Mumbai University
Hii sir, I Wants to get The Syllabus of the Data Ware House And Data Mining of the Second year Engineering of the Mumbai University ?
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#3
13th August 2018, 10:58 AM
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Re: DWM Syllabus Mumbai University
The University of Mumbai, informally known as, is one of the earliest state universities in India and the oldest in Maharashtra. The Syllabus of the Data Ware House And Data Mining of the Second year Engineering of the Mumbai University is given below Data Ware House Overview and Concepts: Need for data warehousing, The building blocks of a Data warehouse. Architecture and Infrastructure: Data Warehouse Architecture, Infrastructure and Metadata Management Principles Of Dimension Modeling: Introduction to Dimensional Modeling, Advanced Concepts Extract Transform Load Cycle: ETL overview, Extraction, Loading, Transformation techniques. Information Access and Delivery: Matching information to classes of users, OLAP the need, Design of the OLAP database, OLAP operations: slice, dice, rollup, drill-down etc. OLAP implementations. Implementation And Maintenance: Physical design process, Aggregates and Indexing. Data Warehouse Deployment Data Mining Introduction: Basics of data mining, related concepts, Data mining techniques. The KDD process Concept Description: Class Characterization and comparison, Attribute relevance analysis, Attribute oriented Induction, Mining descriptive statistical measures in large databases. Classification Algorithms: What is Classification? Supervised Learning, Classifier Accuracy, Decision Tree and Naive Bayes Classifier. Clustering: What is clustering? Types of data, Partitioning Methods (K-Means, KMedoids) Hierarchical Methods(Agglomerative , Divisive) Association rules: Motivation For Association Rule mining, Market Basket Analysis, Apriori Algorithm, FP tree Algorithm, Iceberg Queries. Advanced Association Rules (just concepts) Web Mining: Web Content Mining, Web Structure Mining, Web Usage mining Rest of the Syllabus you may get from the below Attachement that is Free to Download Syllabus of the Data Ware House And Data Mining of the Second year Engineering of the Mumbai University |
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