Investigation of website classification methods based on data mining techniques

Rukavitsyn, Andrey N.; Kupriyanov, M. S.; Shorov, Andrey; Petukhov, Ilya V.

doi:10.1109/scm.2016.7519773

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…In [13] the authors improve web page classification precision by using two-level key words and hierarchical classification method. And in [14], Multi-Neighbor Attribute Classification is used to increase the accuracy of link-based classification.…”

Section: IImentioning

confidence: 99%

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A Web Page Classification Method Based on TCP/IP Header Features

Huang¹,

Zhang²,

Tang³

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-Web page classification has wide applications. Due to various types of web pages and vast amounts of network traffic, it is difficult to classify web pages by deeply inspecting the content of each packet. This paper presents a learning-based classification method according to TCP/IP header features. First, we propose an approach to select features and improve the Relief algorithm, which can pick features with robustness. Then we raise a labeling strategy to assign each feature with a label when training the classifier. Last, we put forward a learning-based classification method which takes labels and multi-layer semantics into consideration. The experiment results show that the proposed strategy can improve the processing speed and the accuracy of classification.

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Section: IImentioning

confidence: 99%

“…According to [13], generally we should achieve the classification accuracy of more than 70%. From Figure 2 we can find that different classes of web pages have different classification accuracy.…”

Section: A Effects Of Labeling Strategymentioning

confidence: 99%

A Web Page Classification Method Based on TCP/IP Header Features

Huang¹,

Zhang²,

Tang³

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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“…Their paper explained one of the Data Mining tools which is the Association Rule that could be useful in web page user interface development, especially in information retrieval. Andrey and Ilya promoted the classification technique in web page development [12]. Truth classification technique could increase the accuracy of search result, but when users look for medical treatment aboard, the information that they require can be from very general (travel information, hospital list) to very specific (support service details, doctor review).…”

Section: System Tools Reviewmentioning

confidence: 99%

Effective Online Retrieval System for Medical Service Provider Information

Vedrasco

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This paper analyzes the current active Medical Tourism websites and discusses the availability of various features among these websites. The analysis is based on the collected data about the features’ importance and users’ online search patterns from those people have experiences in Medical Tourism and medical information search on the Internet. This study focuses on the medical tourism market in Thailand due to its popularity and high ranking among other international medical tourism destinations. A medical tourism aggregative system is proposed by using one of the Data Mining tools – Association rule. The system evaluation showed the proposed system can improve users' information processing speed and reduce users' decision making time.

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Artificial Intelligence (AI) Impact on Digital Marketing Research

Gkikas

Theodoridis

2019

Springer Proceedings in Business and Economics

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Investigation of website classification methods based on data mining techniques

Cited by 7 publications

References 2 publications

A Web Page Classification Method Based on TCP/IP Header Features

A Web Page Classification Method Based on TCP/IP Header Features

Effective Online Retrieval System for Medical Service Provider Information

Artificial Intelligence (AI) Impact on Digital Marketing Research

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