Document Processing Using Machine Learning

Sk Md Obaidullah (u. a.)

ISBN 10: 036721847X / ISBN 13: 9780367218478

Published by Chapman and Hall/CRC, 2019

About this Item

Document Processing Using Machine Learning | Sk Md Obaidullah (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2019 | Chapman and Hall/CRC | EAN 9780367218478 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 133326125

Bibliographic Details

• Title: Document Processing Using Machine Learning
• Publisher: Chapman and Hall/CRC
• Publication Date: 2019
• Language: English
• ISBN 10: 036721847X
• ISBN 13: 9780367218478
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 15D millimeters 240 millimeters width by 161 millimeters height by 15 millimeters depth
• Weight: 446 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text.

In brief, the book offers comprehensive coverage of the most essential topics, including:

· The role of AI for document image analysis

· Optical character recognition

· Machine learning algorithms for document analysis

· Extreme learning machines and their applications

· Mathematical foundation for Web text document analysis

· Social media data analysis

· Modalities for document dataset generation

This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

About the Author

Sk Md Obaidullah, KC Santosh, Teresa Goncalves, Nibaran Das, Kaushik Roy