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Ranjana Rajnish - Web Data Mining with Python: Discover and extract information from the web using Python

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Ranjana Rajnish Web Data Mining with Python: Discover and extract information from the web using Python
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Explore different web mining techniques to discover patterns, structures, and information from the web. This book starts by covering the key concepts of Web mining and its taxonomy. It then explores the basics of Web scraping, its uses and components followed by topics like legal aspects related to scraping, data extraction and pre-processing, scraping dynamic websites, and CAPTCHA. The book also introduces you to the concept of Opinion mining and Web structure mining. Furthermore, it covers Web graph mining, Web information extraction, Web search and hyperlinks, Hyperlink Induced Topic Search (HITS) search, and partitioning algorithms that are used for Web mining. By the end of the book, you will master the art of data extraction using Python.

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Table of Contents
Guide

Web Data Mining with Python - photo 1

Web Data Mining
with Python

Discover and extract information from the web using Python - photo 2

Discover and extract information from the
web using Python

Dr Ranjana Rajnish Dr Meenakshi Srivastava - photo 3

Dr. Ranjana Rajnish
Dr. Meenakshi Srivastava
Web Data Mining with Python Discover and extract information from the web using Python - image 4

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Copyright 2023 BPB Online

All rights reserved.No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

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First published:2023

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About the Authors

Dr. Ranjana Rajnish, is an Assistant Professor at Amity Institute of Information Technology at Amity University Uttar Pradesh, Lucknow. Dr. Ranjana possesses more than 25 years of experience in academics/research. She has been engaged with institutions like U.P. Technical University and Amity University in roles ranging from a faculty in computer science to Academic Head. She has done her Ph.D. in Computer Science and her area of teaching and research includes Programming Languages such as C, Python, Borne Shell, Software Engineering, Opinion Mining/Sentiment Analysis, and Healthcare. She has more than 40 publications in National and International conferences of repute.

Dr. Meenakshi Srivastava, is working as Assistant Professor at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus since 2005. She has done her Ph.D. in Engineering. Her area of teaching and research includes Web Mining, Image Processing, Business Intelligence, and Bioinformatics. She has more than 18 years of teaching experience, where she has taught various programming languages like C, C++, C#, JAVA, Python and R. She has more than 40 national and international publications.

About the Reviewer

Dr. Deepak Singhcompleted his doctorate from Indian Institute of Technology, Kanpur and has over 13 years of experience in the field of academics and IT industry. His core areas of expertise include real-life applications of artificial intelligence and IoT based systems. Apart from teaching in prominent institutions in Lucknow, he is also consultant of several IT firms. He has also advised UP government on IT implementation in Public Libraries.

He has played a key role in several AI based research projects, which include Digital Transformation of several prominent educational institutes of Lucknow, two projects funded by Government of India and several other projects related to AI-ML implementation. He has imparted training to several senior level executives of IT companies in different parts of world including Singapore, Japan and China.

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