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ORCIDWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 2
Volume 2, Number 1, January / February 2012
- Laura Elo
, Benno Schwikowski:
Mining proteomic data for biomedical research. 1-13 - Christopher Kauffman, George Karypis:
Computational tools for protein-DNA interactions. 14-28
- Amit Banerjee, Rajesh N. Davé:
Robust clustering. 29-59 - Guanling Lee, Yi-Chun Chen:
Protecting Sensitive knowledge in association patterns mining. 60-68 - Dima Alberg, Mark Last, Abraham Kandel:
Knowledge discovery in data streams with regression tree methods. 69-78 - Mohamed Medhat Gaber:
Advances in data stream mining. 79-85
- Fionn Murtagh, Pedro Contreras:
Algorithms for hierarchical clustering: an overview. 86-97
Volume 2, Number 2, March / April 2012
- Márcia D. B. Oliveira, João Gama:
An overview of social network analysis. 99-115 - Xosé M. Fernández-Suárez:
Analyzing genomic data: understanding the genome. 116-137
- Yann-Chang Huang, Chao-Ming Huang, Huo-Ching Sun:
Data mining for oil-insulated power transformers: an advanced literature survey. 138-148 - Longbing Cao:
Actionable knowledge discovery and delivery. 149-163
- J. P. Morgan, Xinwei Deng:
Experimental design. 164-172 - Issam El-Naqa:
Machine learning methods for predicting tumor response in lung cancer. 173-181 - Wil M. P. van der Aalst, Arya Adriansyah, Boudewijn F. van Dongen:
Replaying history on process models for conformance checking and performance analysis. 182-192
Volume 2, Number 3, May / June 2012
- Frederic T. Stahl, Ivan Jordanov:
An overview of the use of neural networks for data mining tasks. 193-208 - Yu Xiao, Jian Yu:
Partitive clustering (K-means family). 209-225
- Georg Peters, Richard Weber:
Dynamic clustering with soft computing. 226-236 - Peter Kokol, Sandi Pohorec, Gregor Stiglic, Vili Podgorelec:
Evolutionary design of decision trees for medical application. 237-254
- Michael R. Chernick:
Resampling methods. 255-262 - Marja A. Heiskanen, Tero Aittokallio:
Mining high-throughput screens for cancer drug targets - lessons from yeast chemical-genomic profiling and synthetic lethality. 263-272 - Irina Mohorianu, Sara Lopez-Gomollon, Frank Schwach, Tamas Dalmay, Vincent Moulton:
FiRePat - Finding Regulatory Patterns between sRNAs and Genes. 273-284 - Sanghamitra Bandyopadhyay:
Genetic algorithms for clustering and fuzzy clustering. 285
Volume 2, Number 4, July / August 2012
- Alexander Fölling, Joachim Lepping:
Knowledge discovery for scheduling in computational grids. 287-297 - Francisco G. Vital-Lopez, Vesna Memisevic, Bhaskar Dutta:
Tutorial on biological networks. 298-325
- Lawrence O. Hall:
Objective function-based clustering. 326-339 - Ira Assent:
Clustering high dimensional data. 340-350
- Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Subspace clustering. 351-364
Volume 2, Number 5, September / October 2012
- Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang:
Reverse engineering of gene regulatory networks from biological data. 365-385
- Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou, Tijl De Bie:
Knowledge discovery interestingness measures based on unexpectedness. 386-399 - Hiroshi Mamitsuka:
Mining from protein-protein interactions. 400-410
- Martin Atzmueller:
Mining social media: key players, sentiments, and communities. 411-419 - Cagatay Catal:
Software mining and fault prediction. 420-426 - Kerri L. Clark, Stanley P. Kowalski:
Harnessing the power of patent information to accelerate innovation. 427-435
Volume 2, Number 6, November / December 2012
- Christian Borgelt:
Frequent item set mining. 437-456 - Shastri L. Nimmagadda, Heinz Dreher:
On new emerging concepts of petroleum digital ecosystem. 457-475 - Aretha Barbosa Alencar, Maria Cristina Ferreira de Oliveira, Fernando Vieira Paulovich:
Seeing beyond reading: a survey on visual text analytics. 476-492
- Anne-Laure Boulesteix, Silke Janitza, Jochen Kruppa, Inke R. König:
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics. 493-507
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