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» Statistical properties of transactional databases
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TKDE
2008
156views more  TKDE 2008»
13 years 7 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang
PODS
1998
ACM
134views Database» more  PODS 1998»
13 years 11 months ago
A New Framework For Itemset Generation
The problem of finding association rules in a large database of sales transactions has been widely studied in the literature, We discuss some of the weaknessesof the large itemset...
Charu C. Aggarwal, Philip S. Yu
ICDE
2007
IEEE
155views Database» more  ICDE 2007»
14 years 1 months ago
Atomicity for P2P based XML Repositories
Over the years, the notion of transactions has become synonymous with providing fault-tolerance, reliability and robustness to database systems. However, challenges arise when we ...
Debmalya Biswas, Il-Gon Kim
ICDE
1995
IEEE
192views Database» more  ICDE 1995»
14 years 8 months ago
Mining Sequential Patterns
Abstract. The problem of mining sequential patterns was recently introduced in 3 . We are given a database of sequences, where each sequence is a list of transactions ordered by tr...
Rakesh Agrawal, Ramakrishnan Srikant
PKDD
2007
Springer
147views Data Mining» more  PKDD 2007»
14 years 1 months ago
MINI: Mining Informative Non-redundant Itemsets
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
Arianna Gallo, Tijl De Bie, Nello Cristianini