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» Incremental Mining of Sequential Patterns in Large Databases
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KDD
2000
ACM
121views Data Mining» more  KDD 2000»
13 years 11 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
IEAAIE
2009
Springer
14 years 2 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...
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 1 months ago
Privacy-Preserving Frequent Pattern Mining across Private Databases
Privacy consideration has much significance in the application of data mining. It is very important that the privacy of individual parties will not be exposed when data mining te...
Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
13 years 11 months ago
Transitional Patterns and Their Significant Milestones
Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
Qian Wan, Aijun An
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
13 years 11 months ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...