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Publication search results
found 60 matches
- 2013
- Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Data stream dynamic clustering supported by Markov chain isomorphisms. Intell. Data Anal. 17(3): 439-457 (2013) - Oussama Allali, Clémence Magnien, Matthieu Latapy:
Internal link prediction: A new approach for predicting links in bipartite graphs. Intell. Data Anal. 17(1): 5-25 (2013) - Jamil Alshaqsi, Wenjia Wang:
Estimating the predominant number of clusters in a dataset. Intell. Data Anal. 17(4): 603-626 (2013) - Maribel García Arenas, Nuria Rico, Antonio Miguel Mora, Pedro A. Castillo, Juan Julián Merelo Guervós:
Using statistical tools to determine the significance and relative importance of the main parameters of an evolutionary algorithm. Intell. Data Anal. 17(5): 771-789 (2013) - Elena Bellodi, Fabrizio Riguzzi:
Expectation maximization over binary decision diagrams for probabilistic logic programs. Intell. Data Anal. 17(2): 343-363 (2013) - Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
Evolving networks: Eras and turning points. Intell. Data Anal. 17(1): 27-48 (2013) - Luca Cagliero, Alessandro Fiori:
Discovering generalized association rules from Twitter. Intell. Data Anal. 17(4): 627-648 (2013) - Ning Chen, An Chen, Bernardete Ribeiro:
Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis. Intell. Data Anal. 17(3): 423-437 (2013) - Inae Choi, Kanghee Park, Hyunjung Shin:
Sharpened graph ensemble for semi-supervised learning. Intell. Data Anal. 17(3): 387-398 (2013) - Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh:
A study of K-Means-based algorithms for constrained clustering. Intell. Data Anal. 17(3): 485-505 (2013) - Hadi Khosravi Farsani, Mohammad Ali Nematbakhsh, Georg Lausen:
Structure/attribute computation of similarities between nodes of a RDF graph with application to linked data clustering. Intell. Data Anal. 17(2): 179-194 (2013) - Lin Feng, Le Wang, Bo Jin:
UT-Tree: Efficient mining of high utility itemsets from data streams. Intell. Data Anal. 17(4): 585-602 (2013) - Leticia I. Gómez, Alejandro A. Vaisman:
Mining semantic trajectories. Intell. Data Anal. 17(5): 857-898 (2013) - Elham Bavafaye Haghighi, Mohammad Rahmati:
Theoretical aspects of mapping to multidimensional optimal regions as a multi-classifier. Intell. Data Anal. 17(6): 981-999 (2013) - Hamed Hassanzadeh, Mohammadreza Keyvanpour:
A two-phase hybrid of semi-supervised and active learning approach for sequence labeling. Intell. Data Anal. 17(2): 251-270 (2013) - Nima Hatami, Camelia Chira:
Diverse accurate feature selection for microarray cancer diagnosis. Intell. Data Anal. 17(4): 697-716 (2013) - Cheng-Lung Huang, Mu-Chen Chen, Wen-Chen Huang, Sheng-Huang Huang:
Incorporating frequency, recency and profit in sequential pattern based recommender systems. Intell. Data Anal. 17(5): 899-916 (2013) - Rui Ji, Yupu Yang:
Smooth support vector learning for fuzzy rule-based classification systems. Intell. Data Anal. 17(4): 679-695 (2013) - Bo Ji, Yangdong Ye, Yu Xiao:
Mutual information evaluation: A way to predict the performance of feature weighting on clustering. Intell. Data Anal. 17(6): 1001-1021 (2013) - Aída Jiménez, Fernando Berzal, Juan Carlos Cubero Talavera:
Interestingness measures for association rules within groups. Intell. Data Anal. 17(2): 195-215 (2013) - Thashmee Karunaratne, Henrik Boström, Ulf Norinder:
Comparative analysis of the use of chemoinformatics-based and substructure-based descriptors for quantitative structure-activity relationship (QSAR) modeling. Intell. Data Anal. 17(2): 327-341 (2013) - Mohammad Reza Keyvanpour, Maryam Bahojb Imani:
Semi-supervised text categorization: Exploiting unlabeled data using ensemble learning algorithms. Intell. Data Anal. 17(3): 367-385 (2013) - Shaheen Khatoon, Guohui Li, Azhar Mahmood:
Comparison and evaluation of source code mining tools and techniques: A qualitative approach. Intell. Data Anal. 17(3): 459-484 (2013) - D. Vimal Kumar, A. Tamilarasi:
Genetic algorithm-based optimized association rule mining for multi-relational data. Intell. Data Anal. 17(6): 965-980 (2013) - Jun Won Lee, Christophe G. Giraud-Carrier:
Automatic selection of classification learning algorithms for data mining practitioners. Intell. Data Anal. 17(4): 665-678 (2013) - Matjaz Majnik, Zoran Bosnic:
ROC analysis of classifiers in machine learning: A survey. Intell. Data Anal. 17(3): 531-558 (2013) - Bhawna Mallick, Deepak Garg, P. S. Grover:
Incremental mining of sequential patterns: Progress and challenges. Intell. Data Anal. 17(3): 507-530 (2013) - Nicola Matarese, Valentina Colla, Marco Vannucci, Leonardo Maria Reyneri:
A procedure for the detection of anomalous input-output patterns. Intell. Data Anal. 17(5): 737-751 (2013) - Alborz Mazloomian, Hamid Beigy:
Inferring signaling pathways using interventional data. Intell. Data Anal. 17(2): 295-308 (2013) - Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Entity ranking using click-log information. Intell. Data Anal. 17(5): 837-856 (2013)
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