Volume 2, Number 1, January / February 2012

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  Laura Elo, Benno Schwikowski: Mining proteomic data for biomedical research. 1-13
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  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

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  Fionn Murtagh, Pedro Contreras: Algorithms for hierarchical clustering: an overview. 86-97

Volume 2, Number 2, March / April 2012

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  Márcia D. B. Oliveira, João Gama: An overview of social network analysis. 99-115
• 
  Xosé M. Fernández-Suarez: 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

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  Frederic 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

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  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

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  Hans-Peter Kriegel, Peer Kröger, Arthur Zimek: Subspace clustering. 351-364

Volume 2, Number 5, September / October 2012

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  Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang: Reverse engineering of gene regulatory networks from biological data. 365-385

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  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

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  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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