Data Mining & Data Warehouse quick revision PDF notes, book, eBook for BTech CSE/IT Engineering - Free Download

Ranjith.ds

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Hello BTech Computer Science & IT Engineering students, I am sharing the Data Mining & Data Warehouse PDF class lecture notes, eBook, book as per the BTech CSE/IT Engineering course syllabus. These quick revision and summarized notes, eBook on Data Mining & Data Warehouse will help you score more marks and help study in less time for your CSE/IT Engg. semester exams.

Key topics covered in Data Mining & Data Warehouse quick revision PDF class notes, book, eBook for BTech Computer Science / IT Engineering:

  • Module, I - Data Mining overview, Data Warehouse and OLAP Technology,Data Warehouse Architecture, Steps for the Design and Construction of Data Warehouses, A Three-Tier Data Warehouse Architecture, OLAP, OLAP queries, metadata repository
  • Module, II - Mining Association Rules in Large Databases, Association Rule Mining, Market Basket Analysis: Mining A Road Map, The Apriori Algorithm: Finding Frequent Itemsets Using Candidate Generation,Generating Association Rules from Frequent Itemsets, Improving the Efficiently of Apriori,Mining Frequent Itemsets without Candidate Generation, Multilevel Association Rules
  • Module, III - What is Classification? What Is Prediction? Issues Regarding Classification and Prediction, Classification by Decision Tree Induction, Bayesian Classification, Bayes Theorem, Bayesian Classification, Classification by Back propagation, A Multilayer Feed-Forward Neural Network, Defining a Network Topology
  • Module, IV - What Is Cluster Analysis, Types of Data in Cluster Analysis,A Categorization of Major Clustering Methods, Classical Partitioning Methods: k-Meansand k-Medoids, Partitioning Methods in Large Databases
Please click the download link below to get Data Mining & Data Warehouse quick revision PDF class notes, book, eBook file for BTech Computer Science / IT Engineering syllabus.
 

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anurag.rana

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All notes related to Data mining and Data warehouse are here guys ! Awesome work..