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» Efficiently Mining Long Patterns from Databases
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VLDB
2000
ACM
130views Database» more  VLDB 2000»
15 years 1 months ago
Mining Frequent Itemsets Using Support Constraints
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...
Ke Wang, Yu He, Jiawei Han
ICDE
2007
IEEE
106views Database» more  ICDE 2007»
15 years 4 months ago
Mining Trajectory Databases via a Suite of Distance Operators
With the rapid progress of mobile devices and positioning technologies, Trajectory Databases (TD) have been in the core of database research during the last decade. Analysis and k...
Nikos Pelekis, Ioannis Kopanakis, Irene Ntoutsi, G...
SIGSOFT
2010
ACM
14 years 7 months ago
LINKSTER: enabling efficient manual inspection and annotation of mined data
While many uses of mined software engineering data are automatic in nature, some techniques and studies either require, or can be improved, by manual methods. Unfortunately, manua...
Christian Bird, Adrian Bachmann, Foyzur Rahman, Ab...
CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 3 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
15 years 4 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han