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Data Mining and Knowledge Discovery, Volume 31
Volume 31, Number 1, January 2017
- Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Jun Wang, Eamonn J. Keogh:
Generalizing DTW to the multi-dimensional case requires an adaptive approach. 1-31 - Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang:
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. 32-64 - Mostafa Salari, Saeed Jalili, Reza Mortazavi:
TBM, a transformation based method for microaggregation of large volume mixed data. 65-91 - Nicolás Figueroa, Gaston L'Huillier, Richard Weber:
Adversarial classification using signaling games with an application to phishing detection. 92-133 - Fabrizio Angiulli, Fabio Fassetti, Giuseppe Manco, Luigi Palopoli:
Outlying property detection with numerical attributes. 134-163 - Manali Sharma, Mustafa Bilgic:
Evidence-based uncertainty sampling for active learning. 164-202 - Minyoung Kim:
Efficient histogram dictionary learning for text/image modeling and classification. 203-232 - Usue Mori, Alexander Mendiburu, Eamonn J. Keogh, José Antonio Lozano:
Reliable early classification of time series based on discriminating the classes over time. 233-263 - Thilak L. Fernando, Geoffrey I. Webb:
SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption. 264-286
Volume 31, Number 2, March 2017
- Maria Eugenia Ramirez-Loaiza, Manali Sharma, Geet Kumar, Mustafa Bilgic:
Active learning: an empirical study of common baselines. 287-313 - Matteo Riondato, David García-Soriano, Francesco Bonchi:
Graph summarization with quality guarantees. 314-349 - Tomoharu Iwata, Motonobu Kanagawa, Tsutomu Hirao, Kenji Fukumizu:
Unsupervised group matching with application to cross-lingual topic matching without alignment information. 350-370 - Marie Ernst, Gentiane Haesbroeck:
Comparison of local outlier detection techniques in spatial multivariate data. 371-399 - Dawei Zhou, Arun Karthikeyan, Kangyang Wang, Nan Cao, Jingrui He:
Discovering rare categories from graph streams. 400-423 - Valerio Grossi, Andrea Romei, Franco Turini:
Survey on using constraints in data mining. 424-464 - Jianfei Zhang, Shengrui Wang, Lifei Chen, Patrick Gallinari:
Multiple Bayesian discriminant functions for high-dimensional massive data classification. 465-501 - Fabio Gasparetti:
Modeling user interests from web browsing activities. 502-547 - Takuro Kutsuna, Akihiro Yamamoto:
Outlier detection using binary decision diagrams. 548-572
Volume 31, Number 3, May 2017
- Qi Dang, Yadong Zhou, Feng Gao, Qindong Sun:
Detecting cooperative and organized spammer groups in micro-blogging community. 573-605 - Anthony J. Bagnall, Jason Lines, Aaron Bostrom, James Large, Eamonn J. Keogh:
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. 606-660 - Katsiaryna Mirylenka, George Giannakopoulos, Le Minh Do, Themis Palpanas:
On classifier behavior in the presence of mislabeling noise. 661-701 - Nikolaj Tatti:
Tiers for peers: a practical algorithm for discovering hierarchy in weighted networks. 702-738 - Emilio Celotto:
Visualizing the behavior and some symmetry properties of Bayesian confirmation measures. 739-773 - Pieter De Koninck, Jochen De Weerdt, Seppe K. L. M. vanden Broucke:
Explaining clusterings of process instances. 774-808 - Orestis Kostakis, Panagiotis Papapetrou:
On searching and indexing sequences of temporal intervals. 809-850 - Frank Höppner:
Improving time series similarity measures by integrating preprocessing steps. 851-878 - Ning Yang, Lifang He, Zheng Li, Philip S. Yu:
Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach. 879-906
Volume 31, Number 4, July 2017
- Sun-Hee Kim, Hyung-Jeong Yang, Seong-Whan Lee:
FitMine: automatic mining for time-evolving signals of cardiotocography monitoring. 909-933 - Dan Song, Dongming Wang, Xiaoyu Chen:
Retrieving geometric information from images: the case of hand-drawn diagrams. 934-971 - Johannes Schneider, Michail Vlachos:
Scalable density-based clustering with quality guarantees using random projections. 972-1005 - Helena Aidos, Ana L. N. Fred:
Discrimination of Alzheimer's Disease using longitudinal information. 1006-1030 - Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models. 1031-1059 - Indre Zliobaite:
Measuring discrimination in algorithmic decision making. 1060-1089 - Sibylle Hess, Katharina Morik, Nico Piatkowski:
The PRIMPING routine - Tiling through proximal alternating linearized minimization. 1090-1131 - Tomoharu Iwata, Katsuhiko Ishiguro:
Robust unsupervised cluster matching for network data. 1132-1154
Volume 31, Number 5, September 2017
- Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou:
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. 1155-1156 - Aris Anagnostopoulos, Reem Atassi, Luca Becchetti, Adriano Fazzone, Fabrizio Silvestri:
Tour recommendation for groups. 1157-1188 - Thanh-Son Nguyen, Hady Wirawan Lauw, Panayiotis Tsaparas:
Micro-review synthesis for multi-entity summarization. 1189-1217 - Aghiles Salah, Mohamed Nadif:
Social regularized von Mises-Fisher mixture model for item recommendation. 1218-1241 - Tingting Zhai, Yang Gao, Hao Wang, Longbing Cao:
Classification of high-dimensional evolving data streams via a resource-efficient online ensemble. 1242-1265 - Vladimir Dzyuba, Matthijs van Leeuwen, Luc De Raedt:
Flexible constrained sampling with guarantees for pattern mining. 1266-1293 - Nikos Pelekis, Panagiotis Tampakis, Marios Vodas, Christos Doulkeridis, Yannis Theodoridis:
On temporal-constrained sub-trajectory cluster analysis. 1294-1330 - Eric Malmi, Sanjay Chawla, Aristides Gionis:
Lagrangian relaxations for multiple network alignment. 1331-1358 - Martin Becker, Florian Lemmerich, Philipp Singer, Markus Strohmaier, Andreas Hotho:
MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data. 1359-1390 - Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken:
Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery. 1391-1418 - Jörg Wicker, Stefan Kramer:
The best privacy defense is a good privacy offense: obfuscating a search engine user's profile. 1419-1443 - Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet:
Local community detection in multilayer networks. 1444-1479 - Antonis Matakos, Evimaria Terzi, Panayiotis Tsaparas:
Measuring and moderating opinion polarization in social networks. 1480-1505 - Andrea Tagarelli, Alessia Amelio, Francesco Gullo:
Ensemble-based community detection in multilayer networks. 1506-1543 - Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, Yücel Saygin:
Differentially private nearest neighbor classification. 1544-1575
Volume 31, Number 6, November 2017
- Ulf Brefeld, Albrecht Zimmermann:
Guest editorial: Special issue on sports analytics. 1577-1579 - Marcus Bendtsen:
Regimes in baseball players' career data. 1580-1621 - Matthew van Bommel, Luke Bornn:
Adjusting for scorekeeper bias in NBA box scores. 1622-1642 - Guillermo Vinué, Irene Epifanio:
Archetypoid analysis for sports analytics. 1643-1677 - Thomas Kautz, Benjamin H. Groh, Julius Hannink, Ulf Jensen, Holger Strubberg, Björn M. Eskofier:
Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports. 1678-1705 - Muhammad Salman, Saad B. Qaisar, Ali Mustafa Qamar:
Classification and legality analysis of bowling action in the game of cricket. 1706-1734 - Oliver Schulte, Mahmoud Khademi, Sajjad Gholami, Zeyu Zhao, Mehrsan Javan Roshtkhari, Philippe Desaulniers:
A Markov Game model for valuing actions, locations, and team performance in ice hockey. 1735-1757 - Romain Hérault, Dominic Orth, Ludovic Seifert, Jérémie Boulanger, John Aldo Lee:
Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering. 1758-1792 - Gennady L. Andrienko, Natalia V. Andrienko, Guido Budziak, Jason Dykes, Georg Fuchs, Tatiana von Landesberger, Hendrik Weber:
Visual analysis of pressure in football. 1793-1839 - Orestis Kostakis, Nikolaj Tatti, Aristides Gionis:
Discovering recurring activity in temporal networks. 1840-1871 - Arno J. Knobbe, Jac Orie, Nico Hofman, Benjamin van der Burgh, Ricardo Cachucho:
Sports analytics for professional speed skating. 1872-1902
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