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ICDE
2008
IEEE
136views Database» more  ICDE 2008»
15 years 11 months ago
T-Time: Threshold-Based Data Mining on Time Series
Mining time series data is an important approach for the analysis in many application areas as diverse as biology, environmental research, medicine, or stock chart analysis. As nea...
Alexey Pryakhin, Hans-Peter Kriegel, Johannes A&sz...
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
15 years 7 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
15 years 10 months ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
FMLDO
1990
Springer
86views Database» more  FMLDO 1990»
15 years 2 months ago
Views in Object-Oriented Databases
Object-oriented database systems (ooDBMSs) are supposed to offer at least the functionality available in commercial relational DBMSs of today. One important consequence of this is...
Marc H. Scholl, Christian Laasch, Markus Tresch
ADBIS
2001
Springer
115views Database» more  ADBIS 2001»
15 years 2 months ago
Interactive Constraint-Based Sequential Pattern Mining
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
Marek Wojciechowski