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ORCIDWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 4
Volume 4, Number 1, January / February 2014
- Xun Zhou, Shashi Shekhar, Reem Y. Ali:
Spatiotemporal change footprint pattern discovery: an inter-disciplinary survey. 1-23
- Hongxing Wang
, Gangqiang Zhao, Junsong Yuan:
Visual pattern discovery in image and video data: a brief survey. 24-37
- Pedro Pereira Rodrigues, João Gama:
Distributed clustering of ubiquitous data streams. 38-54 - Andreas Ziegler, Inke R. König:
Mining data with random forests: current options for real-world applications. 55-63 - Purificación Cariñena:
Fuzzy temporal association rules: combining temporal and quantitative data to increase rule expressiveness. 64-70 - Bernie C. Till, Justin Longo, A. Rod Dobell, Peter F. Driessen:
Self-organizing maps for latent semantic analysis of free-form text in support of public policy analysis. 71-86
Volume 4, Number 2, March / April 2014
- Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera:
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. 87-103 - Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances. 104-115
- Mohamed Medhat Gaber, João Gama, Shonali Krishnaswamy, João Bártolo Gomes, Frederic T. Stahl:
Data stream mining in ubiquitous environments: state-of-the-art and current directions. 116-138 - Kalpa Gunaratna, Sarasi Lalithsena, Amit P. Sheth:
Alignment and dataset identification of linked data in Semantic Web. 139-151
- Abdullah Mueen:
Time series motif discovery: dimensions and applications. 152-159
Volume 4, Number 3, May / June 2014
- Maria Camila Nardini Barioni, Humberto Luiz Razente, Alessandra M. R. Marcelino, Agma J. M. Traina, Caetano Traina Jr.:
Open issues for partitioning clustering methods: an overview. 161-177 - Thomas Bartz-Beielstein, Jürgen Branke, Jörn Mehnen, Olaf Mersmann:
Evolutionary Algorithms. 178-195 - Frank Höppner, Sebastian Peter:
Temporal interval pattern languages to characterize time flow. 196-212 - Yue Huang, Xuedong Gao:
Clustering on heterogeneous networks. 213-233
- Sancho Salcedo-Sanz, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Gustavo Camps-Valls:
Support vector machines in engineering: an overview. 234-267
Volume 4, Number 4, July / August 2014
- Vicenç Torra, Guillermo Navarro-Arribas:
Data privacy. 269-280 - Paula Brito:
Symbolic Data Analysis: another look at the interaction of Data Mining and Statistics. 281-295 - David A. Morrison:
Phylogenetic networks: a new form of multivariate data summary for data mining and exploratory data analysis. 296-312
- Jan Kremer, Kim Steenstrup Pedersen, Christian Igel:
Active learning with support vector machines. 313-326 - Issam El-Naqa:
Biomedical informatics and panomics for evidence-based radiation therapy. 327-340
Volume 4, Number 5, September / October 2014
- Geoffrey J. McLachlan, Suren I. Rathnayake:
On the number of components in a Gaussian mixture model. 341-355 - Tuong Le, Bay Vo, Giang Nguyen:
A survey of erasable itemset mining algorithms. 356-379 - Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera:
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. 380-409
Volume 4, Number 6, November / December 2014
- Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
Multi-label learning: a review of the state of the art and ongoing research. 411-444 - Juan Luis Olmo, José Raúl Romero, Sebastián Ventura:
Swarm-based metaheuristics in automatic programming: a survey. 445-469
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