Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 1

Volume 1, Number 1, January / February 2011

• Witold Pedrycz:
  Introducing WIREs data mining and knowledge discovery. 1
  

• Julia Herold, Christian Loyek, Tim W. Nattkemper:
  Multivariate image mining. 2-13
  
• Wei-Yin Loh:
  Classification and regression trees. 14-23
  
• Morten Mørup:
  Applications of tensor (multiway array) factorizations and decompositions in data mining. 24-40
  
• Alok N. Choudhary, Daniel Honbo, Prabhat Kumar, Berkin Özisikyilmaz, Sanchit Misra, Gokhan Memik:
  Accelerating data mining workloads: current approaches and future challenges in system architecture design. 41-54
  

• Xiang Chen, Minghui Wang, Heping Zhang:
  The use of classification trees for bioinformatics. 55-63
  
• Pawan Lingras, Georg Peters:
  Rough clustering. 64-72
  

• Peter J. Rousseeuw, Mia Hubert:
  Robust statistics for outlier detection. 73-79
  
• Mark R. Segal, Yuanyuan Xiao:
  Multivariate random forests. 80-87
  
• Shu-Yun Le, Bruce A. Shapiro:
  Data mining of functional RNA structures in genomic sequences. 88-95
  

Volume 1, Number 2, March / April 2011

• Shichao Zhang, Xindong Wu:
  Fundamentals of association rules in data mining and knowledge discovery. 97-116
  
• Antoni Ligeza, Grzegorz J. Nalepa:
  A study of methodological issues in design and development of rule-based systems: proposal of a new approach. 117-137
  

• Gloria Bordogna, Gabriella Pasi:
  Soft clustering for information retrieval applications. 138-146
  

• Giles Oatley, Brian Ewart:
  Data mining and crime analysis. 147-153
  
• Samuel H. Huang, Hua Li, Dengyao Mo, Lawson R. Wulsin:
  Mining large medical claims database to identify high-risk patients: The case of antidepressant utilization. 154-163
  
• Niloofar Arshadi, Igor Jurisica:
  Ensembles of case-based reasoning classifiers in high-dimensional biological domains. 164-171
  
• Alan L. Porter, Ying Guo, Denise Chiavatta:
  Tech mining: Text mining and visualization tools, as applied to nanoenhanced solar cells. 172-181
  

Volume 1, Number 3, May / June 2011

• Geoffrey I. Webb:
  Filtered-top-k association discovery. 183-192
  

• Shashi Shekhar, Michael R. Evans, James M. Kang, Pradeep Mohan:
  Identifying patterns in spatial information: A survey of methods. 193-214
  
• Mirko Böttcher:
  Contrast and change mining. 215-230
  

• Hans-Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek:
  Density-based clustering. 231-240
  
• Peter Willett:
  Similarity-based data mining in files of two-dimensional chemical structures using fingerprint measures of molecular resemblance. 241-251
  

• Boris Mirkin:
  Choosing the number of clusters. 252-260
  
• Xiaogang Su, Chih-Ling Tsai:
  Outlier detection. 261-268
  

Volume 1, Number 4, July / August 2011

• Eyke Hüllermeier:
  Fuzzy machine learning and data mining. 269-283
  
• Shichao Zhang:
  Information enhancement for data mining. 284-295
  

• Konrad Rieck:
  Similarity measures for sequential data. 296-304
  
• Joydeep Ghosh, Ayan Acharya:
  Cluster ensembles. 305-315
  

• Carson Kai-Sang Leung:
  Mining uncertain data. 316-329
  

• Geoffrey Barbier, Lei Tang, Huan Liu:
  Understanding online groups through social media. 330-338
  

• Diane J. Cook, Lawrence B. Holder:
  Sensor selection to support practical use of health-monitoring smart environments. 339-351
  
• Lynette Hunt, Murray Jorgensen:
  Clustering mixed data. 352-361
  

• S. Durga Bhavani, Suvarnavani K., Somdatta Sinha:
  Mining of protein contact maps for protein fold prediction. 362-368
  

Volume 1, Number 5, September / October 2011

• Li Yang:
  Distance-preserving dimensionality reduction. 369-380
  
• Alberto D. Pascual-Montano:
  Gene expression modular analysis: an overview from the data mining perspective. 381-396
  

• María José del Jesús, José A. Gámez, Pedro González, José Miguel Puerta:
  On the discovery of association rules by means of evolutionary algorithms. 397-415
  
• Riccardo Bellazzi, Fulvia Ferrazzi, Lucia Sacchi:
  Predictive data mining in clinical medicine: a focus on selected methods and applications. 416-430
  
• Ralf Mikut, Markus Reischl:
  Data mining tools. 431-443
  

• Carlos A. Coello Coello:
  Evolutionary multiobjective optimization. 444-447
  

• Naeem Seliya, Taghi M. Khoshgoftaar:
  The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction. 448-459
  

Volume 1, Number 6, November / December 2011

• Rashmi Dutta Baruah, Plamen P. Angelov:
  Evolving fuzzy systems for data streams: a survey. 461-476
  

• Keivan Kianmehr, Mehmet Kaya, Abdallah M. ElSheikh, Jamal Jida, Reda Alhajj:
  Fuzzy association rule mining framework and its application to effective fuzzy associative classification. 477-495
  
• Motoki Shiga, Hiroshi Mamitsuka:
  Clustering genes with expression and beyond. 496-511
  
• Nicolás García-Pedrajas:
  Evolutionary computation for training set selection. 512-523
  

• Sanghamitra Bandyopadhyay:
  Genetic algorithms for clustering and fuzzy clustering. 524-531
  
• Karina S. Machado, Ana T. Winck, Duncan D. Ruiz, Osmar Norberto de Souza:
  Mining flexible-receptor molecular docking data. 532-541
  

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