Web Usage Mining
A special issue of Data (ISSN 2306-5729). This special issue belongs to the section "Information Systems and Data Management".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 4208
Special Issue Editors
Interests: cloud; grid computing; data mining; fuzzy logic; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: database systems; cyberprivacy; cybersecurity; distributed computing
Special Issues, Collections and Topics in MDPI journals
Interests: mHealth; ubiquitous computing; ambient computing; non intrusive technology; affective computing
Interests: data mining; machine learning; computational systems biology; graph algorithms and graph theory
Special Issue Information
Dear Colleagues,
The Internet has become an essential part of our life, especially in the pandemic period due to Covid-19, so Web interactions have increased substantially with queries such as simple web browsing to online learning and work. Navigational patterns, content browsing in different clickstreams, log files etc. provide a valuable resource for analysis and mining. Web usage mining could help us understand the behavioral patterns of user(s), and thereby serve us better by providing customized contents, recommendation systems, personalized web based and e-commerce services, among other advantages.
This Special Issue is intended to present discussions and advances in the arena of web usage mining. Topics include but are not limited to the following areas:
- Cleaning, preprocessing, filtering, and extracting web data
- Mining web log and web traffic data
- Clustering, classification, association rule mining, sequential pattern discovery from web data
- Behavior and interaction analysis
- NER (Named Entity Recognition) from web data
- Sentiment analysis and opinion mining from web data
- Recommendation systems
- Anomaly detection from web usage data
- Privacy protection and secure analytics for web data
- Web text and social network data mining
Dr. M. Rashedur Rahman
Dr. Ken Barker
Dr. Sheikh Iqbal Ahamed
Dr. Ahsanur Rahman
Dr. Tanzilur Rahman
Guest Editors
Manuscript Submission Information
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