Web Focused Crawlers: Focused Crawling Enhancement using Information Content

 
9783659418976: Web Focused Crawlers: Focused Crawling Enhancement using Information Content
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With the rapid growth of the Web, finding desirable information on the Internet is a tedious and time consuming task. Focused crawlers are the golden keys to solve this issue through mining of the Web content. In this regard, a variety of methods have been devised and implemented. In this book, we list and categorize these focused crawlers’ methods into different classes by stating cons and pro of each one. Many of these methods, from information retrieval viewpoint, are not biased towards more informative terms in multi-term topics. In this research book also by considering information contents of terms, we propose our Term Frequency-Information Content (TF-IC) method which assigns appropriate weight to each term in a multi-term topic. We show TF-IC outperforms other methods such as Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Semantic Indexing (LSI).

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About the Author:

Ali Pesaranghader is a researcher in the fields of Intelligent Computing, Machine Learning and Computational Linguistics. Beside industrial experiences in these disciplines, he holds a Master's degree in Computer Science from Universiti Putra Malaysia. He also obtained a Bachelor's degree in Computer Engineering from University of Kashan.

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Ali Pesaranghader
Published by LAP Lambert Academic Publishing Okt 2013 (2013)
ISBN 10: 3659418978 ISBN 13: 9783659418976
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Book Description LAP Lambert Academic Publishing Okt 2013, 2013. Taschenbuch. Condition: Neu. Neuware - With the rapid growth of the Web, finding desirable information on the Internet is a tedious and time consuming task. Focused crawlers are the golden keys to solve this issue through mining of the Web content. In this regard, a variety of methods have been devised and implemented. In this book, we list and categorize these focused crawlers' methods into different classes by stating cons and pro of each one. Many of these methods, from information retrieval viewpoint, are not biased towards more informative terms in multi-term topics. In this research book also by considering information contents of terms, we propose our Term Frequency-Information Content (TF-IC) method which assigns appropriate weight to each term in a multi-term topic. We show TF-IC outperforms other methods such as Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Semantic Indexing (LSI). 124 pp. Englisch. Seller Inventory # 9783659418976

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Ali Pesaranghader
Published by LAP Lambert Academic Publishing Okt 2013 (2013)
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Book Description LAP Lambert Academic Publishing Okt 2013, 2013. Taschenbuch. Condition: Neu. Neuware - With the rapid growth of the Web, finding desirable information on the Internet is a tedious and time consuming task. Focused crawlers are the golden keys to solve this issue through mining of the Web content. In this regard, a variety of methods have been devised and implemented. In this book, we list and categorize these focused crawlers' methods into different classes by stating cons and pro of each one. Many of these methods, from information retrieval viewpoint, are not biased towards more informative terms in multi-term topics. In this research book also by considering information contents of terms, we propose our Term Frequency-Information Content (TF-IC) method which assigns appropriate weight to each term in a multi-term topic. We show TF-IC outperforms other methods such as Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Semantic Indexing (LSI). 124 pp. Englisch. Seller Inventory # 9783659418976

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Ali Pesaranghader, Norwati Mustapha
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Book Description LAP Lambert Academic Publishing, 2013. Paperback. Condition: New. Language: English . Brand New Book. With the rapid growth of the Web, finding desirable information on the Internet is a tedious and time consuming task. Focused crawlers are the golden keys to solve this issue through mining of the Web content. In this regard, a variety of methods have been devised and implemented. In this book, we list and categorize these focused crawlers? methods into different classes by stating cons and pro of each one. Many of these methods, from information retrieval viewpoint, are not biased towards more informative terms in multi-term topics. In this research book also by considering information contents of terms, we propose our Term Frequency-Information Content (TF-IC) method which assigns appropriate weight to each term in a multi-term topic. We show TF-IC outperforms other methods such as Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Semantic Indexing (LSI). Seller Inventory # KNV9783659418976

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Book Description LAP Lambert Academic Publishing Okt 2013, 2013. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - With the rapid growth of the Web, finding desirable information on the Internet is a tedious and time consuming task. Focused crawlers are the golden keys to solve this issue through mining of the Web content. In this regard, a variety of methods have been devised and implemented. In this book, we list and categorize these focused crawlers' methods into different classes by stating cons and pro of each one. Many of these methods, from information retrieval viewpoint, are not biased towards more informative terms in multi-term topics. In this research book also by considering information contents of terms, we propose our Term Frequency-Information Content (TF-IC) method which assigns appropriate weight to each term in a multi-term topic. We show TF-IC outperforms other methods such as Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Semantic Indexing (LSI). 124 pp. Englisch. Seller Inventory # 9783659418976

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