SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Dynamically maintaining frequent items over a data stream
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Mining top-K frequent itemsets from data streams
Data Mining and Knowledge Discovery
Eigen-trend: trend analysis in the blogosphere based on singular value decompositions
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Tag clouds for summarizing web search results
Proceedings of the 16th international conference on World Wide Web
BlogScope: spatio-temporal analysis of the blogosphere
Proceedings of the 16th international conference on World Wide Web
Approximate frequency counts over data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Visualizing historical content of web pages
Proceedings of the 17th international conference on World Wide Web
TopicRank: bringing insight to users
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Efficiently Discovering Recent Frequent Items in Data Streams
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Finding frequent items in data streams
Proceedings of the VLDB Endowment
An effective statistical approach to blog post opinion retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
Frequent items in streaming data: An experimental evaluation of the state-of-the-art
Data & Knowledge Engineering
Data clouds: summarizing keyword search results over structured data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Crosslanguage blog mining and trend visualisation
Proceedings of the 18th international conference on World wide web
Searching for events in the blogosphere
Proceedings of the 18th international conference on World wide web
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Sentiment analysis of blogs by combining lexical knowledge with text classification
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
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Large amounts of information are posted daily on the Web, such as articles published online by traditional news agencies or blog posts referring to and commenting on various events. Although the users sometimes rely on a small set of trusted sources from which to get their information, they often also want to get a wider overview and glimpse of what is being reported and discussed in the news and the blogosphere. In this paper, we present an approach for supporting this discovery and exploration process by exploiting term clouds. In particular, we provide an efficient method for dynamically computing the most frequently appearing terms in the posts of monitored online sources, for time intervals specified at query time, without the need to archive the actual published content. An experimental evaluation on a large-scale real-world set of blogs demonstrates the accuracy and the efficiency of the proposed method in terms of computational time and memory requirements.