Data Mining detailed syllabus for Information Technology (IT), R18 regulation has been taken from the JNTUHs official website and presented for the students of B.Tech Information Technology branch affiliated to JNTUH course structure. For Course Code, Course Titles, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The syllabus PDF files can also be downloaded from the universities official website.
For all other IT 4th Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH, do visit IT 4th Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH subjects. The detailed syllabus for data mining is as follows.
Pre-Requisites:
- A course on �Database Management Systems�
- Knowledge of probability and statistics
Course Objective:
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Course Outcome:
- Ability to understand the types of the data to be mined and present a general classification of tasks and primitives to integrate a data mining system.
- Apply preprocessing methods for any given raw data.
- Extract interesting patterns from large amounts of data.
- Discover the role played by data mining in various fields.
- Choose and employ suitable data mining algorithms to build analytical applications
- Evaluate the accuracy of supervised and unsupervised models and algorithms.
Unit – I
Data Mining: Data-Types of Data-, Data Mining Functionalities- Interestingness Patterns-Classification of Data Mining systems- Data mining Task primitives -Integration of Data mining system with a Data warehouse-Major issues in Data Mining-Data Preprocessing.
Unit – II
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Unit – III
Classification: Classification and Prediction – Basic concepts-Decision tree induction-Bayesian classification, Rule-based classification, Lazy learner.
Unit – IV
Clustering and Applications: Cluster analysis-Types of Data in Cluster Analysis-Categorization of Major Clustering Methods- Partitioning Methods, Hierarchical Methods- Density-Based Methods, Grid-Based Methods, Outlier Analysis.
Unit – V
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Text Books:
- Data Mining – Concepts and Techniques – Jiawei Han and Micheline Kamber, 3rd Edition Elsevier.
- Data Mining Introductory and Advanced topics – Margaret H Dunham, PEA.
Reference 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..
For detail syllabus of all other subjects of B.Tech 4th Year Information Technology, visit IT 4th Year syllabus subjects.
For B.Tech IT branch results, visit JNTUH B.Tech Information Technology all semester results direct link.