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ORCIDData Mining and Knowledge Discovery, Volume 29
Volume 29, Number 1, January 2015
- Johannes Fürnkranz
:
Editorial. 1-2 - Mohamed Bouguessa:
Clustering categorical data in projected spaces. 3-38 - Shin Ando, Theerasak Thanomphongphan, Yoichi Seki, Einoshin Suzuki:
Ensemble anomaly detection from multi-resolution trajectory features. 39-83 - Annalisa Appice, Anna Ciampi, Donato Malerba:
Summarizing numeric spatial data streams by trend cluster discovery. 84-136 - Yu Hayashi, Kenji Yamanishi:
Sequential network change detection with its applications to ad impact relation analysis. 137-167 - Petr Kosina, João Gama:
Very fast decision rules for classification in data streams. 168-202 - Beyza Ermis, Evrim Acar, Ali Taylan Cemgil:
Link prediction in heterogeneous data via generalized coupled tensor factorization. 203-236 - Bart Minnaert, David Martens, Manu De Backer, Bart Baesens:
To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms. 237-272 - M. A. Migut, Marcel Worring, Cor J. Veenman:
Visualizing multi-dimensional decision boundaries in 2D. 273-295 - Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm:
Erratum to: Unsupervised interaction-preserving discretization of multivariate data. 296-297
Volume 29, Number 2, March 2015
- Huiji Gao, Jiliang Tang, Huan Liu:
Addressing the cold-start problem in location recommendation using geo-social correlations. 299-323 - Lijun Wang, Ming Dong:
Exemplar-based low-rank matrix decomposition for data clustering. 324-357 - Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series. 358-399 - Mustafa Gökçe Baydogan, George C. Runger:
Learning a symbolic representation for multivariate time series classification. 400-422 - Chris J. Kuhlman, V. S. Anil Kumar, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz:
Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results. 423-465 - Manuel García-Magariños, José Antonio Vilar:
A framework for dissimilarity-based partitioning clustering of categorical time series. 466-502 - Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander:
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models. 503-533 - Fei Wang, Jimeng Sun:
Survey on distance metric learning and dimensionality reduction in data mining. 534-564
Volume 29, Number 3, May 2015
- Jason Lines, Anthony J. Bagnall:
Time series classification with ensembles of elastic distance measures. 565-592 - Guansong Pang, Huidong Jin, Shengyi Jiang:
CenKNN: a scalable and effective text classifier. 593-625 - Leman Akoglu, Hanghang Tong, Danai Koutra:
Graph based anomaly detection and description: a survey. 626-688 - Hanbo Dai, Feida Zhu, Ee-Peng Lim, HweeHwa Pang:
Detecting anomaly collections using extreme feature ranks. 689-731 - Elias Egho, Chedy Raïssi, Toon Calders, Nicolas Jay, Amedeo Napoli:
On measuring similarity for sequences of itemsets. 732-764 - Wenlu Zhang, Rongjian Li, Daming Feng, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Shuiwang Ji:
Evolutionary soft co-clustering: formulations, algorithms, and applications. 765-791 - Rui Henriques, Sara C. Madeira, Cláudia Antunes:
Multi-period classification: learning sequent classes from temporal domains. 792-819 - Aris Kosmopoulos, Ioannis Partalas, Éric Gaussier, Georgios Paliouras, Ion Androutsopoulos:
Evaluation measures for hierarchical classification: a unified view and novel approaches. 820-865
Volume 29, Number 4, July 2015
- Fei Wang, Gregor Stiglic, Zoran Obradovic, Ian Davidson:
Guest editorial: Special issue on data mining for medicine and healthcare. 867-870 - Robert Moskovitch, Yuval Shahar:
Classification-driven temporal discretization of multivariate time series. 871-913 - Zhengxing Huang, Wei Dong, Peter A. Bath, Lei Ji, Huilong Duan:
On mining latent treatment patterns from electronic medical records. 914-949 - Carlos Sáez, Pedro Pereira Rodrigues, João Gama, Montserrat Robles, Juan Miguel García-Gómez:
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality. 950-975 - Ming Ji, Qi He, Jiawei Han, W. Scott Spangler:
Mining strong relevance between heterogeneous entities from unstructured biomedical data. 976-998 - Rui Henriques, Cláudia Antunes, Sara C. Madeira:
Generative modeling of repositories of health records for predictive tasks. 999-1032 - Sunayan Bandyopadhyay, Julian Wolfson, David M. Vock, Gabriela Vazquez-Benitez, Gediminas Adomavicius, Mohamed Elidrisi, Paul E. Johnson, Patrick J. O'Connor:
Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data. 1033-1069 - Buyue Qian, Xiang Wang, Nan Cao, Hongfei Li, Yu-Gang Jiang:
A relative similarity based method for interactive patient risk prediction. 1070-1093 - Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy:
Constrained elastic net based knowledge transfer for healthcare information exchange. 1094-1112
Volume 29, Number 5, September 2015
- Concha Bielza, João Gama, Alípio Jorge, Indre Zliobaite:
Guest editors introduction: special issue of the ECMLPKDD 2015 journal track. 1113-1115 - Lei Duan, Guanting Tang, Jian Pei, James Bailey, Akiko Campbell, Changjie Tang:
Mining outlying aspects on numeric data. 1116-1151 - Sarvenaz Choobdar, Pedro Manuel Pinto Ribeiro, Srinivasan Parthasarathy, Fernando M. A. Silva:
Dynamic inference of social roles in information cascades. 1152-1177 - Orestis Kostakis, Panagiotis Papapetrou:
Finding the longest common sub-pattern in sequences of temporal intervals. 1178-1210 - Saket Navlakha, Christos Faloutsos, Ziv Bar-Joseph:
MassExodus: modeling evolving networks in harsh environments. 1211-1232 - Eric Malmi, Nikolaj Tatti, Aristides Gionis:
Beyond rankings: comparing directed acyclic graphs. 1233-1257 - Diana Porro-Muñoz, Emanuele Olivetti, Nusrat Sharmin, Thien Bao Nguyen, Eleftherios Garyfallidis, Paolo Avesani:
Tractome: a visual data mining tool for brain connectivity analysis. 1258-1279 - Alexios Kotsifakos, Alexandra Stefan, Vassilis Athitsos, Gautam Das, Panagiotis Papapetrou:
DRESS: dimensionality reduction for efficient sequence search. 1280-1311 - Nikolaj Tatti:
Ranking episodes using a partition model. 1312-1342 - Saskia Metzler, Pauli Miettinen:
Clustering Boolean tensors. 1343-1373 - Xiaowen Dong, Dimitrios Mavroeidis, Francesco Calabrese, Pascal Frossard:
Multiscale event detection in social media. 1374-1405 - Nicola Barbieri, Francesco Bonchi, Edoardo Galimberti, Francesco Gullo:
Efficient and effective community search. 1406-1433 - Vasileios Lampos, Elad Yom-Tov, Richard Pebody, Ingemar J. Cox:
Assessing the impact of a health intervention via user-generated Internet content. 1434-1457 - Reihaneh Rabbany, Osmar R. Zaïane:
Generalization of clustering agreements and distances for overlapping clusters and network communities. 1458-1485 - Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Knowledge base completion by learning pairwise-interaction differentiated embeddings. 1486-1504
Volume 29, Number 6, November 2015
- Patrick Schäfer:
The BOSS is concerned with time series classification in the presence of noise. 1505-1530 - Michal Soltys, Szymon Jaroszewicz, Piotr Rzepakowski:
Ensemble methods for uplift modeling. 1531-1559 - Liang Bai, Jiye Liang:
Cluster validity functions for categorical data: a solution-space perspective. 1560-1597 - Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park:
Weakly supervised nonnegative matrix factorization for user-driven clustering. 1598-1621 - Yanping Chen, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu, Eamonn J. Keogh:
A general framework for never-ending learning from time series streams. 1622-1664 - Yakui Huang, Hongwei Liu, Shuisheng Zhou:
Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization. 1665-1684 - Gessé Dafé, Adriano Veloso, Mohammed J. Zaki, Wagner Meira Jr.:
Learning sequential classifiers from long and noisy discrete-event sequences efficiently. 1685-1708 - Yada Zhu, Jingrui He, Richard D. Lawrence:
A general framework for predictive tensor modeling with domain knowledge. 1709-1732 - Sara Hajian, Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, Fosca Giannotti:
Discrimination- and privacy-aware patterns. 1733-1782 - Andreia Silva, Cláudia Antunes:
Multi-relational pattern mining over data streams. 1783-1814 - Mikhail Y. Prostov, Maria M. Suarez-Alvarez, Yuriy I. Prostov:
Properties of the sample estimators used for statistical normalization of feature vectors. 1815-1837 - Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki:
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences. 1838-1864
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