Mining interesting knowledge from weblogs: a survey
By Federico Michele Facca, Pier Luca Lanzi. Data & Knowledge Engineering, 2005
384 citations recorded by the source corpus.
Subfields: Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/7e79120e58a3d83e349f459c08a0bcc51e97851e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Zhiyong Lu
- Hossein Hassani
- G. Craig Murray
- Maedeh Taj Mazinani
- Stephane Unger
- Aurélie Névéol
- Christie I. Ezeife
- Christina Beneki
In Signal Processing
Citations in the corpus
- Prediction of Human Activity by Discovering Temporal Sequence Patterns (2014, background): “ing[15], [37], [49], DNA sequences analysis [53], prediction and planning.”
- Text Mining in Big Data Analytics (2020, background): “The typical applications of WSM are (a) link-based categorization of web pages, (b) ranking of web pages through a combination of content and structure, and (c) reverse engineering of website models [144].”
- A taxonomy of sequential pattern mining algorithms (2010, methodology): “Previous surveys looked at different mining methods applicable to web logs [Srivastava et al. 2000; Facca and Lanzi 2003; Masseglia et al. 2005; Facca and Lanzi 2005; Iváncsy and Vajk 2006], but they lack three important things: they fail (i) to focus on sequential patterns as a complete solution; (”
- Understanding PubMed® user search behavior through log analysis (2009, background): “Query log analysis is emerging as a new area of research for many applications (4,6,7).”