Feature Selection with Rough Sets for Web Page Classification

An, Aijun; Huang, Yanhui; Huang, Xiangji; Cercone, Nick

doi:10.1007/978-3-540-27778-1_1

Cited by 28 publications

(16 citation statements)

References 7 publications

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“…In this section, we provide a number of rough set methods that can be used in construction of classifiers. For more information the reader is referred, e.g., to [2,10,17,18,22,24,26,[29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][53][54][55][56][58][59][60]64,65,67,76,3,[83][84][85][86][87][88]93,[97][98][99][100][101][102][103]…”

Section: Rough Set Methods For Machine Learning Pattern Recognitionmentioning

confidence: 99%

Rough sets and Boolean reasoning

Pawlak

Skowron

2007

Information Sciences

864

306

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Section: Rough Set Methods For Machine Learning Pattern Recognitionmentioning

confidence: 99%

Rough sets and Boolean reasoning

Pawlak

Skowron

2007

Information Sciences

864

306

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“…The third stage taking decision about a particular web page that is in which class it will drop out of eight predefined classes. Aijun An [3] and Xiangji Huang [3] proposed mechanism of web page classification which uses HTML classification technique. In this with the help of HTML information seen in web page they are classifying the webpage with ANN classification technique.…”

Section: Literature Surveymentioning

confidence: 99%

“…The designer is always paying attention in to keep the tourist busy so they can spend more time in his site. So he designs the home page of any site with additional skill and assembles the structure of home page to accomplish the intent as well as the user approval [2] [3]. So the five features are cached that will make the site unlike from another site.…”

Section: Proposed Systemmentioning

confidence: 99%

Identification and Classification of Web Pages with Specified Domain

Nagale¹,

Vishwa²

2015

IJCA

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Internet is very large source of information. But these flow of information need to be controlled in various organizations, i.e. in companies job portals and personal mail services are blocked, in colleges entertainment related websites are blocked. Consider college scenario, Admin have to keep watch on site the student accessing. He uses proxy services and firewall on sites that are not allowed to student access. But as per the growth of internet every day new sites launched in the market. It is not always feasible to admin to keep track on that, also every time we have to pay for proxy for each new site as well as it is somewhat time consuming. So, we are clustering the web links into five domain and the keywords must be preprocessed by Adaptive preprocessing technique to increase the performance of the system.

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“…A number of techniques have been proposed based on extracted terms and textual information [2,3,4]. A set of words extracted from web documents are used as features for classification algorithms.…”

Section: Related Workmentioning

confidence: 99%

Classification of News Web Documents Based on Structural Features

Tongchim

Sornlertlamvanich

Isahara

2006

Advances in Natural Language Processing

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Abstract. The motivation of this work comes from the need of a Thai web corpus for testing our information retrieval algorithm. Two collections of news web documents are gathered from two different Thai newspaper web sites. Our goal is to find a simple yet effective method to extract news articles from these web collections. We explore the use of machine learning methods to distinguish article pages from non-article pages, e.g. table of contents, advertisements. Then, the selected web articles are compared in a fine-grained manner in order to find informative structures. Both steps of information extraction utilize the structural features of web documents rather than the extracted keywords or terms. Thus, the inherent errors of word segmentation, one of the major problems in Thai text processing, do not affect to this method.

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Feature Selection with Rough Sets for Web Page Classification

Cited by 28 publications

References 7 publications

Rough sets and Boolean reasoning

Rough sets and Boolean reasoning

Identification and Classification of Web Pages with Specified Domain

Classification of News Web Documents Based on Structural Features

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