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ADMA
2009
Springer
186views Data Mining» more  ADMA 2009»
15 years 11 months ago
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been p...
Yongxin Tong, Zhao Li, Dan Yu, Shilong Ma, Zhiyuan...
SEMWEB
2007
Springer
15 years 10 months ago
Scalable Cleanup of Information Extraction Data Using Ontologies
Abstract. The approach of using ontology reasoning to cleanse the output of information extraction tools was first articulated in SemantiClean. A limiting factor in applying this ...
Julian Dolby, James Fan, Achille Fokoue, Aditya Ka...
IUI
2000
ACM
15 years 8 months ago
Data exploration across temporal contexts
The ability to quickly explore and compare multiple scenarios is an important component of exploratory data analysis. Yet today’s interfaces cannot represent alternative explora...
Mark Derthick, Steven F. Roth
GIS
2008
ACM
16 years 5 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
IEAAIE
2009
Springer
15 years 11 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...