Volume 9,
Number 1,
June 2007
Data mining for health informatics
- Raymond T. Ng, Jian Pei:
Introduction to the special issue on data mining for health informatics.
1-2
Electronic Edition (ACM DL) BibTeX
- Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong:
Enabling more sophisticated gene expression analysis for understanding diseases and optimizing treatments.
3-13
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- Emre Karakoç, Artem Cherkasov, Süleyman Cenk Sahinalp:
Novel approaches for small biomolecule classification and structural similarity search.
14-21
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- Yu Chen, Lars Henning Pedersen, Wesley W. Chu, Jorn Olsen:
Drug exposure side effects from mining pregnancy data.
22-29
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- Chengcui Zhang, Wei-bang Chen, Lin Yang, Xin Chen, John K. Johnstone:
Automatic in vivo microscopy video mining for leukocytes.
30-37
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Interview
Volume 9,
Number 2,
December 2007
Visual analytics
- Daniel A. Keim, Jörn Schneidewind:
Introduction.
3-4
Electronic Edition (ACM DL) BibTeX
- Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl:
VISA: visual subspace clustering analysis.
5-12
Electronic Edition (ACM DL) BibTeX
- Hyunmo Kang, Lise Getoor, Lisa Singh:
Visual analysis of dynamic group membership in temporal social networks.
13-21
Electronic Edition (ACM DL) BibTeX
- Di Yang, Zaixian Xie, Elke A. Rundensteiner, Matthew O. Ward:
Managing discoveries in the visual analytics process.
22-29
Electronic Edition (ACM DL) BibTeX
- Tobias Schreck, Tatiana Tekusova, Jörn Kohlhammer, Dieter W. Fellner:
Trajectory-based visual analysis of large financial time series data.
30-37
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- Gennady L. Andrienko, Natalia V. Andrienko, Stefan Wrobel:
Visual analytics tools for analysis of movement data.
38-46
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Interview
KDD 2007 reports:
KDD Cup and workshops
- James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk:
KDD Cup and workshop 2007.
51-52
Electronic Edition (ACM DL) BibTeX
- Miklós Kurucz, András A. Benczúr, Tamás Kiss, István Nagy, Adrienn Szabó, Balázs Torma:
KDD Cup 2007 task 1 winner report.
53-56
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- Jorge Sueiras, Alfonso Salafranca, José Luis Flórez:
A classical predictive modeling approach for task "Who rated what?" of the KDD CUP 2007.
57-61
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- Yan Liu, Zhenzhen Kou:
Predicting who rated what in large-scale datasets.
62-65
Electronic Edition (ACM DL) BibTeX
- Saharon Rosset, Claudia Perlich, Yan Liu:
Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report.
66-69
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- Jorge Sueiras, Daniel Vélez, José Luis Flórez:
A combination of approaches to solve task "How Many Ratings" of the KDD CUP 2007.
70-74
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- Robert M. Bell, Yehuda Koren:
Lessons from the Netflix prize challenge.
75-79
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- Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Major components of the gravity recommendation system.
80-83
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- Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams:
DDDM2007: Domain Driven Data Mining.
84-86
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- Haizheng Zhang, John Yen, C. Lee Giles, Bamshad Mobasher, Myra Spiliopoulou, Jaideep Srivastava, Olfa Nasraoui, Andrew McCallum:
WebKDD/SNAKDD 2007: web mining and social network analysis post-workshop report.
87-92
Electronic Edition (ACM DL) BibTeX
- Francesco Bonchi, Elena Ferrari, Bradley Malin, Yücel Saygin:
PinKDD'07: privacy, security, and trust in KDD post-workshop report.
93-95
Electronic Edition (ACM DL) BibTeX
- Ying Li, Arun C. Surendran, Dou Shen:
Data mining and audience intelligence for advertising.
96-99
Electronic Edition (ACM DL) BibTeX
Selected article from ADKDD 2007
Copyright © Sun May 17 00:19:56 2009
by Michael Ley (ley@uni-trier.de)
