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» Methods for Linking and Mining Massive Heterogeneous Databas...
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EMNLP
2009
13 years 8 months ago
Classifying Relations for Biomedical Named Entity Disambiguation
Named entity disambiguation concerns linking a potentially ambiguous mention of named entity in text to an unambiguous identifier in a standard database. One approach to this task...
Xinglong Wang, Jun-ichi Tsujii, Sophia Ananiadou
WWW
2009
ACM
14 years 11 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
15 years 3 days ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
14 years 2 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
14 years 2 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic