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PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 9 months ago
Graph Regularized Transductive Classification on Heterogeneous Information Networks
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han...
PAMI
2011
14 years 6 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
INFOCOM
2011
IEEE
14 years 3 months ago
Continuous multi-dimensional top-k query processing in sensor networks
—Top-k query has long been an important topic in many fields of computer science. Efficient implementation of the top-k queries is the key for information searching. With the n...
Hongbo Jiang, Jie Cheng, Dan Wang, Chonggang Wang,...
FSKD
2011
Springer
279views Fuzzy Logic» more  FSKD 2011»
13 years 11 months ago
Modelling the seasonal climate variability and its effects on vintage wines from Marlborough, NZ
— The paper presents some interim results from an ongoing research on the application of data/text mining methodologies being investigated to modelling the seasonal climate varia...
Subana Shanmuganathan, Ana Perez Kuroki, Ajit Nara...
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
16 years 10 days ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han