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AICCSA
2005
IEEE
129views Hardware» more  AICCSA 2005»
15 years 8 months ago
Enhanced visual evaluation of feature extractors for image mining
Plus BROWSE SEARCH IEEE XPLORE GUIDE SUPPORT View TOC Enhanced visual evaluation of feature extractors for image mining Rodrigues, J.F., Jr. Traina, A.J.M. Traina, C., Jr. Comput. ...
José Fernando Rodrigues Jr., Agma J. M. Tra...
SAC
2011
ACM
14 years 9 months ago
RuleGrowth: mining sequential rules common to several sequences by pattern-growth
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
Philippe Fournier-Viger, Roger Nkambou, Vincent Sh...
APIN
2005
107views more  APIN 2005»
15 years 6 months ago
Multi-Instance Learning Based Web Mining
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, ...
Zhi-Hua Zhou, Kai Jiang, Ming Li
IDEAL
2010
Springer
15 years 5 months ago
Analysing Satellite Image Time Series by Means of Pattern Mining
Abstract. Change detection in satellite image time series is an important domain with various applications in land study. Most previous works proposed to perform this detection by ...
François Petitjean, Pierre Gançarski...
TKDE
2008
136views more  TKDE 2008»
15 years 6 months ago
Efficient Correlation Search from Graph Databases
Correlation mining has gained great success in many application domains for its ability to capture underlying dependencies between objects. However, research on correlation mining ...
Yiping Ke, James Cheng, Wilfred Ng