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» Discovering and Processing Sequential Patterns in Databases
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IEAAIE
2009
Springer
15 years 4 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...
ICDE
2010
IEEE
199views Database» more  ICDE 2010»
15 years 4 months ago
Mining mutation chains in biological sequences
— The increasing infectious disease outbreaks has led to a need for new research to better understand the disease’s origins, epidemiological features and pathogenicity caused b...
Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Ton...
SIGMOD
2008
ACM
96views Database» more  SIGMOD 2008»
15 years 9 months ago
OLAP on sequence data
Many kinds of real-life data exhibit logical ordering among their data items and are thus sequential in nature. However, traditional online analytical processing (OLAP) systems an...
Eric Lo, Ben Kao, Wai-Shing Ho, Sau Dan Lee, Chun ...
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
15 years 10 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
ICDE
2009
IEEE
182views Database» more  ICDE 2009»
15 years 11 months ago
Adaptive Parallelization of Queries over Dependent Web Service Calls
We have developed a system to process database queries over composed data providing web services. The queries are transformed into execution plans containing an operator that invok...
Manivasakan Sabesan, Tore Risch