Data mining & warehousing lecture notes, eBook PDF download for CS/IT Engineering


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Hi Friends, check out this PDF eBook of CSE/IT Engineering subject - Data mining & warehousing for engineering students. These quick revision and summarized notes, eBook on Data mining & warehousing 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 & warehousing quick revision PDF class notes, book, eBook for BTech Computer Science / IT Engineering:

  • Basic Concepts of Data mining & warehousing - Introduction, Meaning and characteristics of Data Warehousing, Online Transaction Processing (OLTP), Data Warehousing Models, Data warehouse architecture & Principles of Data Warehousing Data Mining.
  • Building a Data Warehouse Project - Structure of the Data warehouse, Data warehousing and Operational Systems, Organizing for building data warehousing, Important considerations, Tighter integration, Empowerment, Willingness Business Considerations: Return on Investment Design Considerations, Technical Consideration, Implementation Consideration, Benefits of Data warehousing.
  • Managing and Implementing a Data Warehouse Project - Project Management Process, Scope Statement, Work Breakdown Structure and Integration, Initiating a data warehousing project Project Estimation, Analyzing Probability and Risk, Managing Risk: Internal and External, Critical Path Analysis.
  • Data Mining - What is Data mining (DM)? Definition and description, Relationship and Patterns, KDD vs Data mining, DBMS vs Data mining, Elements and uses of Data Mining, Measuring Data Mining Effectiveness : Accuracy,Speed & Cost Data Information and Knowledge, Data Mining vs. Machine Learning, Data Mining Models. Issues and challenges in DM, DM Applications Areas.
  • Techniques of Data Mining - Various Techniques of Data Mining Nearest Neighbor and Clustering.
Please click the download link below to get Data mining & warehousing quick revision PDF class notes, book, eBook file for BTech Computer Science / IT Engineering syllabus.


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