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» Efficient Frequent Pattern Mining in Relational Databases
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KDD
1999
ACM
220views Data Mining» more  KDD 1999»
14 years 3 days ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
ADBIS
2000
Springer
88views Database» more  ADBIS 2000»
14 years 6 days ago
Finding Generalized Path Patterns for Web Log Data Mining
Conducting data mining on logs of web servers involves the determination of frequently occurring access sequences. We examine the problem of finding traversal patterns from web lo...
Alexandros Nanopoulos, Yannis Manolopoulos
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 8 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
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...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
EDBT
2011
ACM
199views Database» more  EDBT 2011»
12 years 11 months ago
Finding closed frequent item sets by intersecting transactions
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...
Christian Borgelt, Xiaoyuan Yang, Rubén Nog...
IJCAI
2003
13 years 9 months ago
Mining Video Associations for Efficient Database Management
To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequenti...
Xingquan Zhu, Xindong Wu