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» Modeling Relational Data as Graphs for Mining
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KDD
2005
ACM
92views Data Mining» more  KDD 2005»
16 years 4 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
ICSM
2009
IEEE
15 years 11 months ago
Predicting change impact from logical models
To improve the ability of predicting the impact scope of a given change, we present two approaches applicable to the maintenance of object-oriented software systems. Our first ap...
Sunny Wong, Yuanfang Cai
ML
2011
ACM
179views Machine Learning» more  ML 2011»
14 years 11 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
AUSDM
2008
Springer
229views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning
Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive...
David M. W. Powers
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...