Ontology-based Web mining model: representations of user profiles

Design of distributed Web mining model based on XML and agent for network teaching platform

Proceedings of 2013 2nd International Conference on Measurement, Information and Control ◽

10.1109/mic.2013.6757992 ◽

2013 ◽

Author(s):

Liu Shengjian ◽

Wang Fengni ◽

Yang Haiyan

Keyword(s):

Web Mining ◽

Network Teaching ◽

Teaching Platform ◽

Model Based ◽

Mining Model

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A Combined Web Mining Model and Its Application in Crisis Management

Computational Science – ICCS 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72588-6_145 ◽

2007 ◽

pp. 906-910 ◽

Cited By ~ 2

Author(s):

Xingsen Li ◽

Lingling Zhang ◽

Maoliang Ding ◽

Yong Shi ◽

Jun Li

Keyword(s):

Crisis Management ◽

Web Mining ◽

Mining Model

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A Web Mining Model for Real-time Webpage Personalization

2006 International Conference on Management Science and Engineering ◽

10.1109/icmse.2006.313915 ◽

2006 ◽

Author(s):

Shen Hui-zhang ◽

Zhao Ji-di ◽

Yang Zhong-zhi

Keyword(s):

Real Time ◽

Web Mining ◽

Mining Model

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WEB MINING IN CLASSIFYING YOUTH EMOTIONS

MALAYSIAN JOURNAL OF COMPUTING ◽

10.24191/mjoc.v3i1.4748 ◽

2018 ◽

Vol 3 (1) ◽

pp. 1

Author(s):

Zura Izlita Razak ◽

Shuzlina Abdul rahman ◽

Sofianita Mutalib ◽

Nurzeatul Hamimah Abdul hamid

Keyword(s):

Social Media ◽

Web Mining ◽

Daily Activities ◽

The Internet ◽

Emotional States ◽

States Of Mind ◽

Social Settings ◽

The Social ◽

Triggering Events ◽

Mining Model

Social media sites are websites used as mediums to create and share various types of contents over the internet. These sites can also be accessed through applications on mobile gadgets. Different social media sites are available for free, and most teenagers or youths have at least one active account. They use social media sites to connect and share their online profiles, daily activities, stories, and emotions. Depending on their social settings, their activities may or may not be seen by others. One of the latest trends that is spreading over the social media is the Korean Pop entertainment or popularly known as KPop. Over the social media, youths share and express how they feel about their Korean celebrities, music, and drama. However, the issue of excessive sharing of emotion-sharing over social media may increase the risk of mental illness and affect their mental health. Their obsession to keep up-to-date with their idols might lead or cause adverse consequences on their emotional states of mind. Thus, the aim of this research is to study the changes of youths’ emotions in two different countries which are Malaysia and Korea that are related to the KPop trend. We extract texts from tweets from Twitter social media sites using the Twitter API as the basis of our study. Then, the keyword 'KPop' is used to filter the tweets. Web mining model classifies the 12,000 tweets into six emotion categories, which are joy, sadness, fear, anger, disgust, and surprise. The system then records the emotion changes and the triggering events respectively.

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Research on the Application of Web Mining Technique Based on XML for Unstructured Web Data Using LINQ

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.1062 ◽

2011 ◽

Vol 403-408 ◽

pp. 1062-1067 ◽

Cited By ~ 1

Author(s):

Payalpreet Kaur ◽

Raghu Garg ◽

Ravinder Singh ◽

Mandeep Singh

Keyword(s):

Data Mining ◽

Data Storage ◽

Data Exchange ◽

Web Mining ◽

Data Extraction ◽

Unstructured Data ◽

Web Data ◽

Web Data Mining ◽

Xml Document ◽

Mining Model

Web data mining is a field that has gained popularity in the recent time with the advancement in web mining technologies. Web data mining is the extraction of data on web. The term Web Data Mining is a technique used to crawl through various web resources to collect required information, which enables an individual or a company to promote business, understanding marketing dynamics, new promotions floating on the Internet, etc. The data on web is unstructured, irregular and lacks a fixed unified pattern as it is presented in HTML format that represents data in the presentation format and is unable to handle semi-structured or unstructured data . These difficulties lead to the emergence of XML based web data mining. XML was created so that richly structured documents could be used over the web.XML provides a standard for the data exchange and data storage .This paper presents a web data mining model based on XML. In this model first of all unstructured data is transformed to XML and then XML document is stored in database in the form of the string tree, then specific records are searched using a LINQ query. If record does not exist in the database then check the updates of specific website and repeat the same steps. At last data selected by LINQ Query is displayed on web browser. The feature that helped to increase the speed of data extraction and that also reduces the time of extraction is the presence of database that stores the data that have been extracted earlier by a user and can be used by other users by passing a LINQ query .In this model there is no need to create an extra separate XSL file because this model stores xml document in the database in the form of the string tree. This model is implemented using C# with XML.

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