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KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
14 years 7 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
OSDI
2008
ACM
14 years 7 months ago
R2: An Application-Level Kernel for Record and Replay
Library-based record and replay tools aim to reproduce an application's execution by recording the results of selected functions in a log and during replay returning the resu...
Zhenyu Guo, Xi Wang, Jian Tang, Xuezheng Liu, Zhil...
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 2 months ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...