JNTUH B.TECH R18 4-1 Syllabus For data mining PDF 2022


JNTUH B.TECH R18 4-1 Syllabus For data mining PDF 2022

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You will be able to find information about data mining along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding data mining after reading this blog. data mining has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. data mining can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to data mining are mentioned below in detail. If you are having a hard time understanding data mining or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

data mining Unit One

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.

data mining Unit Two

Association Rule Mining:

Mining Frequent Patterns–Associations and correlations – Mining Methods– Mining Various kinds of Association Rules– Correlation Analysis– Constraint based Association mining. Graph Pattern Mining, SPM.

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data mining Unit Three


Classification and Prediction – Basic concepts–Decision tree induction–Bayesian classification, Rule–based classification, Lazy learner.

data mining Unit Four

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.

data mining Unit Five

Advanced Concepts:

Basic concepts in Mining data streams–Mining Time–series data––Mining sequence patterns in Transactional databases– Mining Object– Spatial– Multimedia–Text and Web data – Spatial Data mining– Multimedia Data mining–Text Mining– Mining the World Wide Web.

data mining Course Objectives

It presents methods for mining frequent patterns, associations, and correlations.
It then describes methods for data classification and prediction, and data–clustering approaches.
It covers mining various types of data stores such as spatial, textual, multimedia, streams.

data mining Course Outcomes

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.

data mining Text Books

Data Mining – Concepts and Techniques – Jiawei Han & Micheline Kamber, 3rd Edition Elsevier.
Data Mining Introductory and Advanced topics – Margaret H Dunham, PEA.

data mining Reference Books

1. Ian H. Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques (Second Edition), Morgan Kaufmann, 2005.

Scoring Marks in data mining

Scoring a really good grade in data mining is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your examinations . This video will also inform students on how to score high grades in data mining. There are a lot of reasons for getting a bad score in your data mining exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTUH B.Tech R18 data mining was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

Get Complete Lecture Notes for data mining on Cynohub APP

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