Principles of data mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
An outsider's view on "topic-oriented blogging"
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Structure and evolution of blogspace
Communications of the ACM - The Blogosphere
Taking the community's pulse: one blog at a time
ICWE '06 Proceedings of the 6th international conference on Web engineering
Detecting experiences from weblogs
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Development of information filtering systems for disaster prevention
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV
Mining and visualizing local experiences from blog entries
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Activity-Based query refinement for context-aware information retrieval
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Two Phase Extraction Method for Multi-label Classification of Real Life Tweets
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Location based video navigation using task extracted from the web
International Journal of Knowledge-based and Intelligent Engineering Systems
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The prevalence of weblogs (blogs) has enabled people to share the personal experiences of tourists at specific locations and times. Such information was traditionally unavailable, except indirectly through local newspapers and periodicals. This paper describes a method of spatially and temporally obtaining specific experiences by extracting association rules from the content of blog articles. For example, we can read about visitors’ activities and evaluations of sightseeing spots. By geographically mapping their experiences, the proposed system enables observation of tourist activities and impressions of specific locations, which can often be more diverse than local guidebooks and more trustworthy than advertisements.