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ORCIDInternational Journal of Data Science and Analytics, Volume 3
Volume 3, Number 1, February 2017
- Francesco Bonchi, Sara Hajian, Bud Mishra, Daniele Ramazzotti
:
Exposing the probabilistic causal structure of discrimination. 1-21 - Duy Khuong Nguyen, Tu Bao Ho:
Accelerated anti-lopsided algorithm for nonnegative least squares. 23-34 - Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu:
Recommendation in heterogeneous information network via dual similarity regularization. 35-48 - Selim Mahbub, Paulo A. de Souza, Raymond N. Williams:
Describing environmental phenomena variation using entropy theory. 49-60 - Nicoletta Di Blas, Mirjana Mazuran, Paolo Paolini, Elisa Quintarelli, Letizia Tanca:
Exploratory computing: a comprehensive approach to data sensemaking. 61-77
Volume 3, Number 2, March 2017
- Jiuyong Li, Kun Zhang, Elias Bareinboim, Lin Liu:
Guest editorial: special issue on causal discovery. 79-80 - Frederick Eberhardt:
Introduction to the foundations of causal discovery. 81-91 - Zhalama, Jiji Zhang, Wolfgang Mayer:
Weakening faithfulness: some heuristic causal discovery algorithms. 93-104 - Elena Sokolova, Daniel von Rhein, Jilly Naaijen, Perry Groot, Tom Claassen, Jan K. Buitelaar, Tom Heskes:
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. 105-119 - Joseph D. Ramsey, Madelyn Glymour, Ruben Sanchez-Romero, Clark Glymour:
A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images. 121-129 - Gilles Blondel, Marta Arias, Ricard Gavaldà:
Identifiability and transportability in dynamic causal networks. 131-147 - Retraction Note to: A survey on human-computer interaction technologies and techniques. 149
Volume 3, Number 3, May 2017
- Sihong Xie, Philip S. Yu:
Active zero-shot learning: a novel approach to extreme multi-labeled classification. 151-160 - Nuno Moniz, Paula Branco, Luís Torgo:
Resampling strategies for imbalanced time series forecasting. 161-181 - Raquel Sebastião, João Gama, Teresa Mendonça:
Fading histograms in detecting distribution and concept changes. 183-212 - Kohei Miyaguchi, Kenji Yamanishi:
Online detection of continuous changes in stochastic processes. 213-229
Volume 3, Number 4, June 2017
- Yae-Lin Sheu, Liang-Yan Hsu, Pi-Tai Chou, Hau-Tieng Wu:
Entropy-based time-varying window width selection for nonlinear-type time-frequency analysis. 231-245 - Piyush Kumar Sharma, Gary Holness:
(L2) -norm transformation for improving k-means clustering. 247-266 - Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard:
The non-stationary stochastic multi-armed bandit problem. 267-283 - Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Jingzhi Li, Bin Wu:
Meta-path-based link prediction in schema-rich heterogeneous information network. 285-296 - Vahid Faridani, Mehrdad Jalali, Majid Vafaei Jahan:
Collaborative filtering-based recommender systems by effective trust. 297-307
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