CC

5273C: Data Mining Practices Syllabus for Cloud Computing & Big Data 5th Sem 2021 Revision SITTTR (Professional Elective-I)

Data Mining Practices detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Cloud Computing & Big Data (CC) students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Cloud Computing & Big Data 5th Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to Cloud Computing & Big Data (CC) Professional Elective-I syllabus scheme. The detailed syllabus of data mining practices is as follows.

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Course Outcomes:

On completion of the course, the student will be able to:

  1. Describe the concept of Data Mining and its applications.
  2. Explain the preprocessing of data and apply mining techniques
  3. Summarize data warehouse and mining techniques. 19 Understanding
  4. Illustrate case studies of data mining applications

Module 1:

Data mining, Types of data that can be mined, Patterns Mining, Kinds of patterns, Data mining Techniques, Applications of data mining, Issues in Data Mining

Module 2:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Module 4:

Introduction to Web Mining, Web content mining, Web usage mining, Web Structure mining, Web log structure and issues regarding web logs. Spatial Data Mining, Temporal Mining, And Multimedia Mining, Applications of Distributed and parallel Data Mining

Text Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

  1. J. Han, M. Kamber, “Data Mining Concepts and Techniques”, Morgan Kaufmann.
  2. M. Kantardzic, “Data mining: Concepts, models, methods and algorithms, John Wiley &Sons Inc.

Reference Books:

  1. M. Dunham, “Data Mining: Introductory and Advanced Topics”, Pearson Education

Online Resources

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

For detailed syllabus of all other subjects of Cloud Computing & Big Data, 2021 revision curriculum do visit Cloud Computing & Big Data (CC) 5th Sem subject syllabuses for 2021 revision.

To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..

To see the results of Cloud Computing & Big Data of diploma 2021 revision curriculum do visit SITTTR diploma results..

For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar direct link.

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