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MDU B.Tech 7th Semester Neural Network Notes PDF – Handwritten Typed | 219 Pages | Easy Study Notes

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MDU B.Tech 7th Semester Web Mining Notes PDF – Handwritten Typed | 122 Pages | Easy Study Notes

Original price was: ₹122.00.Current price is: ₹80.00.

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Product Summary 

Get the Premium Web Mining Notes for B.Tech 7th Semester — a complete, exam-oriented and student-friendly PDF including 122 pages of neat handwritten explanations, typed summaries, diagrams, flowcharts, algorithms, solved examples and more.

Perfect for CSE, IT, ECE, AI/ML students preparing for Mid-Sem, End-Sem, Viva & Assignments.

Quick Details     :     Feature

Details Notes Name      :  Web Mining Notes

Subject   :    Web Mining

Class/Semester :     B.Tech – 7th Semester

Total Pages  :    122 High-Quality Pages

File Size   :     Approximately 1.8 MB

File Format   :   PDF (Portable Document Format)

Author  :       Easy Study Notes

Language :      English

Notes Type. :   Handwritten + Typed + Chapter-wise Summary

Edited For   :    CSE / IT Students

 

 

Description

Description

Product Description 

Understanding Web Mining can be challenging due to complex algorithms, mathematical concepts, and detailed diagrams. To make it easier for students, Easy Study Notes brings you the most complete, clean, and exam-ready Web Mining Notes PDF for B.Tech 7th Semester.

These notes are crafted using a hybrid format:

✔ Neat handwritten explanations

✔ Cleanly typed chapter-wise summaries

✔ Well-labeled diagrams

✔ Flowcharts

✔ Algorithm steps

✔ Important definitions and formulas

Designed strictly as per the latest university curriculum followed by AKTU, RGPV, VTU, JNTU, MAKAUT, GTU, PTU, BPUT, and top Indian engineering universities.

Whether you are preparing for theory exams, class tests, practicals, or assignments, this PDF is your perfect study companion.

 

📂 What’s Inside the PDF? (Full Syllabus Coverage)

SECTION-I:Data Mining Foundations: 

Basic concepts in data Mining,

Web mining versus Data mining,

Discovering knowledge from Hypertext data;

An overview of web mining :

What is Web mining,

Web mining taxonomy,

Web mining subtasks, issues, challenges

SECTION-II: Web Search and Information Retrieval

Information Retrieval Models

Web Search and IR

Text Mining

Latent Semantic Indexing

Web Spamming

Clustering and Classification of Web Pages

Information Extraction

Web Content Mining

SECTION-III: Optimization

Introduction to Models and Concept of Computational Intelligence

Social Behavior as Optimization

Discrete and Continuous Optimization Problems

Classification of Optimization Algorithms

Evolutionary Computation Theory and Paradigm

Swarm and Collective intelligence

SECTION-IV: Swarm Intelligence Techniques:

Particle Swarm Optimization

Ant Colony Optimization

Artificial Bees and Firefly Algorithm etc.

Hybridization and Comparisons of Swarm Techniques

Application of Swarm Techniques in Different Domains and Real World Problems

Bonus Content Included

Along with the main notes, you also get:

Unit-wise Important Questions

High-scoring Diagrams

One-Page Short Notes for Quick Revision

Who Should Buy This PDF?

This notes package is ideal for:

B.Tech (CSE / IT / ECE) Students

BCA / MCA Students learning WN

Students preparing for semester exams

GATE aspirants (for basic fundamentals)

Anyone who wants easy explanations for Web Mining

Why Students Trust Easy Study Notes?

Clear handwriting

Simple language

Perfect exam format

100% syllabus covered

Neatly scanned PDFs

Easy for last-minute revision

High exam retention value

 

📥 Download Your PDF & Start Scoring Higher in Exams!

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