Noise Elimination from Web Page Based on Regular Expressions for Web Content Mining

Smart Innovation, Systems and Technologies - Advanced Computing, Networking and Informatics- Volume 1 ◽

10.1007/978-3-319-07353-8_63 ◽

2014 ◽

pp. 545-554 ◽

Cited By ~ 1

Author(s):

Amit Dutta ◽

Sudipta Paria ◽

Tanmoy Golui ◽

Dipak Kumar Kole

Keyword(s):

Regular Expressions ◽

Web Content ◽

Web Page ◽

Noise Elimination ◽

Web Content Mining ◽

Content Mining

Structural analysis and regular expressions based noise elimination from web pages for web content mining

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI) ◽

10.1109/icacci.2014.6968377 ◽

2014 ◽

Cited By ~ 2

Author(s):

Amit Dutta ◽

Sudipta Paria ◽

Tanmoy Golui ◽

Dipak K. Kole

Keyword(s):

Structural Analysis ◽

Web Pages ◽

Regular Expressions ◽

Web Content ◽

Noise Elimination ◽

Web Content Mining ◽

Content Mining

Review of Web Page Classification and Web Content Mining

Journal of Advanced Research in Dynamical and Control Systems ◽

10.5373/jardcs/v11i10/20193017 ◽

2019 ◽

Vol 11 (10) ◽

pp. 142-147

Author(s):

Dr.G.M. Lingaraju ◽

Dr.S. Jagannatha

Keyword(s):

Web Content ◽

Web Page ◽

Web Page Classification ◽

Web Content Mining ◽

Content Mining ◽

Page Classification

Improving Web Page Access Prediction using Web Usage Mining and Web Content Mining

2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA) ◽

10.1109/iceca.2019.8821950 ◽

2019 ◽

Cited By ~ 2

Author(s):

Pooja M. Bharti ◽

Tushar J. Raval

Keyword(s):

Web Usage Mining ◽

Web Content ◽

Web Page ◽

Web Content Mining ◽

Web Usage ◽

Content Mining

WISE: Hierarchical Soft Clustering of Web Page Search Results Based on Web Content Mining Techniques

2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06) ◽

10.1109/wi.2006.201 ◽

2006 ◽

Cited By ~ 5

Author(s):

Ricardo Campos ◽

Gael Dias ◽

Celia Nunes

Keyword(s):

Web Content ◽

Web Page ◽

Web Content Mining ◽

Soft Clustering ◽

Search Results ◽

Content Mining

Web content mining for alias identification: A first step towards suspect tracking

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics ◽

10.1109/isi.2011.5984000 ◽

2011 ◽

Cited By ~ 2

Author(s):

Tarique Anwar ◽

Muhammad Abulaish ◽

Khaled Alghathbar

Keyword(s):

Web Content ◽

Web Content Mining ◽

Content Mining

MACHINE LEARNING AND LINK ANALYSIS FOR WEB CONTENT MINING

Proceedings of the International Conference on Knowledge Discovery and Information Retrieval ◽

10.5220/0003065401560161 ◽

2010 ◽

Keyword(s):

Machine Learning ◽

Link Analysis ◽

Web Content ◽

Web Content Mining ◽

Content Mining

Web content mining for comparing corporate and third-party online reporting: a case study on solid waste management

Business Strategy and the Environment ◽

10.1002/bse.549 ◽

2009 ◽

Vol 18 (3) ◽

pp. 137-148 ◽

Cited By ~ 18

Author(s):

Irene Pollach ◽

Arno Scharl ◽

Albert Weichselbraun

Keyword(s):

Waste Management ◽

Solid Waste ◽

Solid Waste Management ◽

Third Party ◽

Web Content ◽

Web Content Mining ◽

Content Mining

Study on Method of Web Content Mining for Non-XML Documents

Communications in Computer and Information Science - Information Computing and Applications ◽

10.1007/978-3-642-16339-5_31 ◽

2010 ◽

pp. 236-243

Author(s):

Jianguo Chen ◽

Hao Chen ◽

Jie Guo

Keyword(s):

Web Content ◽

Web Content Mining ◽

Xml Documents ◽

Content Mining

Similarity Based Web Data Extraction and Integration System for Web Content Mining

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Advances in Communication, Network, and Computing ◽

10.1007/978-3-642-35615-5_41 ◽

2012 ◽

pp. 269-274

Author(s):

Srikantaiah K.C. ◽

Suraj M. ◽

Venugopal K.R. ◽

Iyengar S.S. ◽

L. M. Patnaik

Keyword(s):

Data Extraction ◽

Web Content ◽

Web Data ◽

Integration System ◽

Web Content Mining ◽

Web Data Extraction ◽

Content Mining

Multilingual Web Content Mining

Intelligent Agents for Data Mining and Information Retrieval ◽

10.4018/978-1-59140-194-0.ch006 ◽

2004 ◽

pp. 88-100

Author(s):

Rowena Chau ◽

Chung-Hsing Yeh

Keyword(s):

Information Filtering ◽

User Profile ◽

Linguistic Knowledge ◽

Web Content ◽

Self Organizing Maps ◽

Web Documents ◽

Web Content Mining ◽

Concept Space ◽

Content Mining ◽

Multilingual Text

This chapter presents a novel user-oriented, concept-based approach to multilingual web content mining using self-organizing maps. The multilingual linguistic knowledge required for multilingual web content mining is made available by encoding all multilingual concept-term relationships using a multilingual concept space. With this linguistic knowledge base, a concept-based multilingual text classifier is developed. It reveals the conceptual content of multilingual web documents and forms concept categories of multilingual web documents on a concept-based browsing interface. To personalize multilingual web content mining, a concept-based user profile is generated from a user’s bookmark file to highlight the user’s topics of information interest on the browsing interface. As such, both explorative browsing and user-oriented, concept-focused information filtering in multilingual web are facilitated.