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
- Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong:
Enabling more sophisticated gene expression analysis for understanding diseases and optimizing treatments.
3-13
- Emre Karakoç, Artem Cherkasov, Süleyman Cenk Sahinalp:
Novel approaches for small biomolecule classification and structural similarity search.
14-21
- Yu Chen, Lars Henning Pedersen, Wesley W. Chu, Jorn Olsen:
Drug exposure side effects from mining pregnancy data.
22-29
- Chengcui Zhang, Wei-bang Chen, Lin Yang, Xin Chen, John K. Johnstone:
Automatic in vivo microscopy video mining for leukocytes.
30-37
Interview
- Fabian Mörchen:
Unsupervised pattern mining from symbolic temporal data.
41-55
- Saso Dzeroski, Jan Struyf:
5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report.
56-58
Volume 9, Number 2, December 2007
Visual analytics
- Daniel A. Keim, Jörn Schneidewind:
Introduction.
3-4
- Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl:
VISA: visual subspace clustering analysis.
5-12
- Hyunmo Kang, Lise Getoor, Lisa Singh:
Visual analysis of dynamic group membership in temporal social networks.
13-21
- Di Yang, Zaixian Xie, Elke A. Rundensteiner, Matthew O. Ward:
Managing discoveries in the visual analytics process.
22-29
- Tobias Schreck, Tatiana Tekusova, Jörn Kohlhammer, Dieter W. Fellner:
Trajectory-based visual analysis of large financial time series data.
30-37
- Gennady L. Andrienko, Natalia V. Andrienko, Stefan Wrobel:
Visual analytics tools for analysis of movement data.
38-46
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
- Miklós Kurucz, András A. Benczúr, Tamás Kiss, István Nagy, Adrienn Szabó, Balázs Torma:
KDD Cup 2007 task 1 winner report.
53-56
- Jorge Sueiras, Alfonso Salafranca, José Luis Flórez:
A classical predictive modeling approach for task "Who rated what?" of the KDD CUP 2007.
57-61
- Yan Liu, Zhenzhen Kou:
Predicting who rated what in large-scale datasets.
62-65
- Saharon Rosset, Claudia Perlich, Yan Liu:
Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report.
66-69
- Jorge Sueiras, Daniel Vélez, José Luis Flórez:
A combination of approaches to solve task "How Many Ratings" of the KDD CUP 2007.
70-74
- Robert M. Bell, Yehuda Koren:
Lessons from the Netflix prize challenge.
75-79
- Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Major components of the gravity recommendation system.
80-83
- Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams:
DDDM2007: Domain Driven Data Mining.
84-86
- 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
- Francesco Bonchi, Elena Ferrari, Bradley Malin, Yücel Saygin:
PinKDD'07: privacy, security, and trust in KDD post-workshop report.
93-95
- Ying Li, Arun C. Surendran, Dou Shen:
Data mining and audience intelligence for advertising.
96-99
Selected article from ADKDD 2007
Last update Wed May 22 18:18:55 2013
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
