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» A hybrid approach to mining frequent sequential patterns
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DIS
2004
Springer
15 years 3 months ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt
BIBE
2007
IEEE
141views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Graph and Topological Structure Mining on Scientific Articles
In this paper, we investigate a new approach for literature mining. We use frequent subgraph mining, and its generalization topological structure mining, for finding interesting re...
Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontk...
PVLDB
2010
147views more  PVLDB 2010»
14 years 8 months ago
HYRISE - A Main Memory Hybrid Storage Engine
In this paper, we describe a main memory hybrid database system called HYRISE, which automatically partitions tables into vertical partitions of varying widths depending on how th...
Martin Grund, Jens Krüger, Hasso Plattner, Al...
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 2 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 10 months ago
Characteristic relational patterns
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
Arne Koopman, Arno Siebes