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MOBISYS
2009
ACM
16 years 2 months ago
A methodology for extracting temporal properties from sensor network data streams
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
Dimitrios Lymberopoulos, Athanasios Bamis, Andreas...
CHI
2010
ACM
15 years 8 months ago
Short and tweet: experiments on recommending content from information streams
More and more web users keep up with newest information through information streams such as the popular microblogging website Twitter. In this paper we studied content recommendat...
Jilin Chen, Rowan Nairn, Les Nelson, Michael Berns...
IDEAL
2007
Springer
15 years 8 months ago
Mining Disjunctive Sequential Patterns from News Stream
Frequent disjunctive pattern is known to be a sophisticated method of text mining in a single document that satisfies anti-monotonicity, by which we can discuss efficient algorith...
Kazuhiro Shimizu, Isamu Shioya, Takao Miura
NOSSDAV
2005
Springer
15 years 7 months ago
Natural selection in peer-to-peer streaming: from the cathedral to the bazaar
Success of peer-to-peer applications in many cases is attributed to user altruism, where a user contributes some of its own resources to facilitate performance of other users. Thi...
Vivek Shrivastava, Suman Banerjee
DAWAK
2006
Springer
15 years 5 months ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
Jia-Ling Koh, Shu-Ning Shin