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ORCIDIntelligent Data Analysis, Volume 17
Volume 17, Number 1, 2013
- Ruggero G. Pensa
, Francesca Cordero, Céline Rouveirol, Rushed Kanawati:
Guest Editorial. 1-3 - Oussama Allali, Clémence Magnien, Matthieu Latapy:
Internal link prediction: A new approach for predicting links in bipartite graphs. 5-25 - Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
Evolving networks: Eras and turning points. 27-48 - Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut:
Discovering descriptive rules in relational dynamic graphs. 49-69 - Adriana Prado, Baptiste Jeudy, Élisa Fromont, Fabien Diot:
Mining spatiotemporal patterns in dynamic plane graphs. 71-92 - Jana Schmidt, Asghar Ghorbani, Andreas Hapfelmeier, Stefan Kramer:
Learning probabilistic real-time automata from multi-attribute event logs. 93-123 - Ilija Subasic, Bettina Berendt:
Story graphs: Tracking document set evolution using dynamic graphs. 125-147 - Rudra M. Tripathy, Amitabha Bagchi, Sameep Mehta:
Towards combating rumors in social networks: Models and metrics. 149-175
Volume 17, Number 2, 2013
- Editorial. 177-178
- 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. 179-194 - Aída Jiménez, Fernando Berzal, Juan Carlos Cubero Talavera:
Interestingness measures for association rules within groups. 195-215 - Hadi Zare, Adel Mohammadpour, Parham Moradi:
A random projection approach for estimation of the betweenness centrality measure. 217-231 - Yongqiao Wang:
Modeling financial dependence with support vector regression. 233-249 - Hamed Hassanzadeh, Mohammadreza Keyvanpour:
A two-phase hybrid of semi-supervised and active learning approach for sequence labeling. 251-270 - S. Shankar, T. Purusothaman:
A new utility-emphasized analysis for stock trading rules. 271-294 - Alborz Mazloomian, Hamid Beigy:
Inferring signaling pathways using interventional data. 295-308 - G. Swapna, U. Rajendra Acharya, Subbhuraam Vinitha Sree, Jasjit S. Suri:
Automated detection of diabetes using higher order spectral features extracted from heart rate signals. 309-326 - 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. 327-341 - Elena Bellodi, Fabrizio Riguzzi:
Expectation maximization over binary decision diagrams for probabilistic logic programs. 343-363
Volume 17, Number 3, 2013
- Editorial. 365-366
- Mohammad Reza Keyvanpour, Maryam Bahojb Imani:
Semi-supervised text categorization: Exploiting unlabeled data using ensemble learning algorithms. 367-385 - Inae Choi, Kanghee Park, Hyunjung Shin:
Sharpened graph ensemble for semi-supervised learning. 387-398 - Mahito Sugiyama, Akihiro Yamamoto:
Semi-supervised learning on closed set lattices. 399-421 - Ning Chen, An Chen, Bernardete Ribeiro:
Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis. 423-437 - Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Data stream dynamic clustering supported by Markov chain isomorphisms. 439-457 - Shaheen Khatoon, Guohui Li, Azhar Mahmood:
Comparison and evaluation of source code mining tools and techniques: A qualitative approach. 459-484 - Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh:
A study of K-Means-based algorithms for constrained clustering. 485-505 - Bhawna Mallick, Deepak Garg, P. S. Grover:
Incremental mining of sequential patterns: Progress and challenges. 507-530 - Matjaz Majnik, Zoran Bosnic:
ROC analysis of classifiers in machine learning: A survey. 531-558
Volume 17, Number 4, 2013
- Editorial. 559-560
- Cynthia B. Pérez, Gustavo Olague:
Genetic programming as strategy for learning image descriptor operators. 561-583 - Lin Feng, Le Wang, Bo Jin:
UT-Tree: Efficient mining of high utility itemsets from data streams. 585-602 - Jamil Alshaqsi, Wenjia Wang:
Estimating the predominant number of clusters in a dataset. 603-626 - Luca Cagliero, Alessandro Fiori:
Discovering generalized association rules from Twitter. 627-648 - Juanying Xie, Kate S. Hone, Weixin Xie, Xinbo Gao, Yong Shi, Xiaohui Liu:
Extending twin support vector machine classifier for multi-category classification problems. 649-664 - Jun Won Lee, Christophe G. Giraud-Carrier:
Automatic selection of classification learning algorithms for data mining practitioners. 665-678 - Rui Ji, Yupu Yang:
Smooth support vector learning for fuzzy rule-based classification systems. 679-695 - Nima Hatami, Camelia Chira:
Diverse accurate feature selection for microarray cancer diagnosis. 697-716 - Yongwook Shin, Jonghun Park:
Feature identification for topical relevance assessment in feed search engines. 717-733
Volume 17, Number 5, 2013
- Editorial. 735-736
- Nicola Matarese, Valentina Colla, Marco Vannucci, Leonardo Maria Reyneri:
A procedure for the detection of anomalous input-output patterns. 737-751 - Marina V. Sokolova, Antonio Fernández-Caballero:
A methodological approach to mining and simulating data in complex information systems. 753-769 - 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. 771-789 - Marko Robnik-Sikonja, Erik Strumbelj, Igor Kononenko:
Efficiently explaining the predictions of a probabilistic radial basis function classification network. 791-802 - Guangtao Wang, Qinbao Song:
A novel feature subset selection algorithm based on association rule mining. 803-835 - Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Entity ranking using click-log information. 837-856 - Leticia I. Gómez, Alejandro A. Vaisman:
Mining semantic trajectories. 857-898 - Cheng-Lung Huang, Mu-Chen Chen, Wen-Chen Huang, Sheng-Huang Huang:
Incorporating frequency, recency and profit in sequential pattern based recommender systems. 899-916 - Unil Yun, Keun Ho Ryu:
Efficient mining of maximal correlated weight frequent patterns. 917-939
Volume 17, Number 6, 2013
- Editorial. 941-942
- Carlos Ordonez, Zhibo Chen:
Discovering frequent pattern pairs. 943-963 - D. Vimal Kumar, A. Tamilarasi:
Genetic algorithm-based optimized association rule mining for multi-relational data. 965-980 - Elham Bavafaye Haghighi, Mohammad Rahmati:
Theoretical aspects of mapping to multidimensional optimal regions as a multi-classifier. 981-999 - Bo Ji, Yangdong Ye, Yu Xiao:
Mutual information evaluation: A way to predict the performance of feature weighting on clustering. 1001-1021 - Billy Peralta, Pablo Espinace, Alvaro Soto:
Enhancing K-Means using class labels. 1023-1039 - Byung-Won On:
Effective email network visualization techniques by means of user behaviors. 1041-1056 - Xiaozhe Wang, Liang Wang, Leo Lopes:
Unsupervised categorization of human motion sequences. 1057-1074 - Pirooz Shamsinejadbabaki, Mohamad Saraee, Hendrik Blockeel:
Causality-based cost-effective action mining. 1075-1091 - I-Chin Wu, Wei-Hao Hwang:
A genre-based fuzzy inference approach for effective filtering of movies. 1093-1113 - Bhekisipho Twala:
Impact of noise on credit risk prediction: Does data quality really matter? 1115-1134
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