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ORCIDSIGKDD Explorations, Volume 9
Volume 9, Number 1, June 2007
- 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
- Gregory Piatetsky-Shapiro:
Interview with Simon Funk. 38-40 - 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
- 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 Tekusová, 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
- Gregory Piatetsky-Shapiro:
Interview with Jon Kleinberg. 47-50
- 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 A. 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
- Diane Lambert, Daryl Pregibon:
More bang for their bucks: assessing new features for online advertisers. 100-107
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