112 search results - page 18 / 23 » Efficient Approximate Mining of Frequent Patterns over Trans... |
ENC
2004
IEEE
15 years 1 months ago
2004
IEEE
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
SIGKDD
2008
14 years 9 months ago
2008
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
108
click to vote
TKDE
2011
14 years 4 months ago
2011
—Classification has been used for modeling many kinds of data sets, including sets of items, text documents, graphs, and networks. However, there is a lack of study on a new kind...
68
Voted
TCS
2008
14 years 9 months ago
2008
Computing frequent itemsets is one of the most prominent problems in data mining. We study the following related problem, called FREQSAT, in depth: given some itemset-interval pai...