Sciweavers

171 search results - page 4 / 35
» Statistical Supports for Frequent Itemsets on Data Streams
Sort
View
ICDM
2007
IEEE
180views Data Mining» more  ICDM 2007»
14 years 17 days ago
Mining Frequent Itemsets in a Stream
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
Toon Calders, Nele Dexters, Bart Goethals
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 6 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
ICDM
2010
IEEE
164views Data Mining» more  ICDM 2010»
13 years 4 months ago
On Finding Similar Items in a Stream of Transactions
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
Andrea Campagna, Rasmus Pagh
ADMA
2006
Springer
137views Data Mining» more  ADMA 2006»
13 years 10 months ago
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases
Abstract. The issue of maintaining privacy in frequent itemset mining has attracted considerable attentions. In most of those works, only distorted data are available which may bri...
Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan
DMIN
2007
158views Data Mining» more  DMIN 2007»
13 years 7 months ago
Mining Frequent Itemsets Using Re-Usable Data Structure
- Several algorithms have been introduced for mining frequent itemsets. The recent datasettransformation approach suffers either from the possible increasing in the number of struc...
Mohamed Yakout, Alaaeldin M. Hafez, Hussein Aly