28 search results - page 2 / 6 » Mining frequent items in a stream using flexible windows |
VLDB
2010
ACM
13 years 2 months ago
2010
ACM
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
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...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
The problem of discovering arrangements of regions of high occurrence of one or more items of a given alphabet in a sequence, is studied, and two efficient approaches are propose...
CIDM
2007
IEEE
13 years 4 months ago
2007
IEEE
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...