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CICLING
2010
Springer
15 years 4 months ago
Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizu...
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
15 years 10 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
15 years 10 months ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
15 years 10 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
15 years 4 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...