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CIKM
2009
Springer
14 years 3 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
SIGECOM
2008
ACM
188views ECommerce» more  SIGECOM 2008»
13 years 8 months ago
Predicting trusts among users of online communities: an epinions case study
Trust between a pair of users is an important piece of information for users in an online community (such as electronic commerce websites and product review websites) where users ...
Haifeng Liu, Ee-Peng Lim, Hady Wirawan Lauw, Minh-...
PVLDB
2010
122views more  PVLDB 2010»
13 years 6 months ago
On Graph Query Optimization in Large Networks
The dramatic proliferation of sophisticated networks has resulted in a growing need for supporting effective querying and mining methods over such large-scale graph-structured da...
Peixiang Zhao, Jiawei Han
SAC
2006
ACM
14 years 2 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
SIGMOD
1999
ACM
122views Database» more  SIGMOD 1999»
14 years 22 days ago
BOAT-Optimistic Decision Tree Construction
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishn...