Sciweavers

342 search results - page 27 / 69
» Incremental Mining of Sequential Patterns in Large Databases
Sort
View
KDD
1997
ACM
111views Data Mining» more  KDD 1997»
13 years 11 months ago
SIPping from the Data Firehose
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
George H. John, Brian Lent
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 4 months ago
CORE: Nonparametric Clustering of Large Numeric Databases.
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
Andrej Taliun, Arturas Mazeika, Michael H. Bö...
WLP
2004
Springer
14 years 27 days ago
SQL Based Frequent Pattern Mining with FP-Growth
Scalable data mining in large databases is one of today’s real challenges to database research area. The integration of data mining with database systems is an essential componen...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
ICDCS
2002
IEEE
14 years 15 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
14 years 15 days ago
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu