From post

A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams.

, , , и . Discovery Science, том 5808 из Lecture Notes in Computer Science, стр. 385-392. Springer, (2009)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Trend Cluster Based Kriging Interpolation in Sensor Data Networks., , , и . MSM/MUSE, том 7472 из Lecture Notes in Computer Science, стр. 118-137. Springer, (2011)Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data., , , и . W2GIS, том 7236 из Lecture Notes in Computer Science, стр. 203-220. Springer, (2012)Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance., , , и . Springer Briefs in Computer Science Springer, (2014)Trend cluster based interpolation everywhere in a sensor network., , , , и . SAC, стр. 827-828. ACM, (2012)A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams., , , и . Discovery Science, том 5808 из Lecture Notes in Computer Science, стр. 385-392. Springer, (2009)An Algorithm for Web Service Discovery through Their Composition., , и . ICWS, стр. 332-. IEEE Computer Society, (2004)Approximate Frequent Itemset Discovery from Data Stream., , , и . AI*IA, том 5883 из Lecture Notes in Computer Science, стр. 151-160. Springer, (2009)Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes., , , и . ISMIS, том 6804 из Lecture Notes in Computer Science, стр. 365-375. Springer, (2011)Clustering Spatio-Temporal Data Streams., , , , и . SEBD, стр. 230-241. Esculapio Editore, (2010)Dealing with temporal and spatial correlations to classify outliers in geophysical data streams., , , и . Inf. Sci., (2014)