7150 search results - page 225 / 1430 » Graph-Based Data Mining |
165
click to vote
IDA
2008
Springer
15 years 2 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
107
click to vote
KDD
1994
ACM
15 years 6 months ago
1994
ACM
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
122
Voted
IADIS
2008
15 years 3 months ago
2008
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
138
Voted
KDD
2007
ACM
16 years 2 months ago
2007
ACM
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
127
Voted
CIKM
2009
Springer
15 years 9 months ago
2009
Springer
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...