13. KDD 2007:
San Jose, California, USA Pavel Berkhin , Rich Caruana , Xindong Wu (Eds.):
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007.
ACM 2007, ISBN 978-1-59593-609-7
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Usama M. Fayyad :
From mining the web to inventing the new sciences underlying the internet.
2-3
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Jon M. Kleinberg :
Challenges in mining social network data: processes, privacy, and paradoxes.
4-5
Research track papers
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conf/kdd/ChaovalitwongseFS07 export record as
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Yixin Chen ,
Li Tu :
Density-based clustering for real-time stream data.
133-142
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conf/kdd/HeikinheimoSHMM07 export record as
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Ping Li :
Very sparse stable random projections for dimension reduction in l alpha (0 <alpha<=2) norm.
440-449
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Flavia Moser ,
Rong Ge ,
Martin Ester :
Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters.
510-519
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Mark Sandler :
Hierarchical mixture models: a probabilistic analysis.
580-589
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Issei Sato ,
Hiroshi Nakagawa :
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior.
590-598
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conf/kdd/Schickel-ZuberF07 export record as
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D. Sculley :
Practical learning from one-sided feedback.
609-618
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conf/kdd/TantipathananandhBK07 export record as
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Industrial and government track papers
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Ming Hua ,
Jian Pei :
Cleaning disguised missing data: a heuristic approach.
950-958
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Industrial and government track short papers
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Charu C. Aggarwal :
A framework for classification and segmentation of massive audio data streams.
1013-1017
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Panel
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