Eliminating noisy information in Web pages for data mining
By Lan Yi, B. Liu, Xiaoli Li. Knowledge Discovery and Data Mining, 2003
305 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/931749ce0dafb9bac3833ed4ce25f898da04216b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ji-rong Wen
- Wai Lam
- Wei-Ying Ma
- Chia-Hui Chang
- Haifeng Liu
- Filippo Menczer
- Christopher C. Yang
- Mohammed Kayed
In Information Systems
- Wai Lam
- Filippo Menczer
- Christopher C. Yang
- Ji-rong Wen
- Wei-Ying Ma
- Chia-Hui Chang
- Haifeng Liu
- Mohammed Kayed
Citations in the corpus
- A Survey of Web Information Extraction Systems (2006, background): “Thus, multiple pages of the same class is also used to discover data rich section (as in DeLa) or eliminate noisy information (as in [41]).”
- Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction (2021, methodology): “Other methods are based on style tree induction, that is detection of similarities of DOM trees on site-level (Yi et al., 2003; Vieira et al., 2006).”
- Learning block importance models for web pages (2004, methodology): “Another application of block importance is for web page classification [9][15][16].”
- Introduction to the special topic section on mining Web resources for enhancing information retrieval (2007, methodology): “Besides using information inside a Web page, researchers tried to find the common style of noisy data inside a Web site (called Site Style Tree by Yi, Liu, & Li [2003] ).”