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130
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PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
15 years 8 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
144
Voted
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 5 months ago
From user comments to on-line conversations
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural pro...
Chunyan Wang, Mao Ye, Bernardo A. Huberman
94
Voted
KDD
2001
ACM
148views Data Mining» more  KDD 2001»
16 years 3 months ago
Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web
Doug Warner, J. Neal Richter, Stephen D. Durbin, B...
140
Voted
ISASSCI
2001
15 years 4 months ago
Data Mining Architectures - A Comparative Study
Data mining is the process of deriving knowledge from data. The architecture of a data mining system plays a significant role in the efficiency with which data is mined. It is pro...
Thomas Thomas, Sanjeev Jayakumar, B. Muthukumaran
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 7 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou