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ORCIDInternational Journal of Data Science and Analytics, Volume 6
Volume 6, Number 1, August 2018
- Lin Liu
, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash:
Guest Editorial: Special Issue on Causal Discovery 2017. 1-2 - Bryan Andrews, Joseph D. Ramsey, Gregory F. Cooper:
Scoring Bayesian networks of mixed variables. 3-18 - Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos:
Constraint-based causal discovery with mixed data. 19-30 - Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos:
Correction to: Constraint-based causal discovery with mixed data. 31 - Vineet K. Raghu, Joseph D. Ramsey, Alison Morris, Dimitrios V. Manatakis, Peter Spirtes, Panos K. Chrysanthis, Clark Glymour, Panayiotis V. Benos:
Comparison of strategies for scalable causal discovery of latent variable models from mixed data. 33-45 - Eric V. Strobl, Shyam Visweswaran, Peter L. Spirtes:
Fast causal inference with non-random missingness by test-wise deletion. 47-62 - Damiano Di Francesco Maesa, Andrea Marino, Laura Ricci:
Data-driven analysis of Bitcoin properties: exploiting the users graph. 63-80
Volume 6, Number 2, September 2018
- Georgia Kougka, Anastasios Gounaris, Alkis Simitsis:
The many faces of data-centric workflow optimization: a survey. 81-107 - Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi:
Unsupervised record matching with noisy and incomplete data. 109-129 - Massimo Melucci:
A characterization of sample selection bias in system evaluation and the case of information retrieval. 131-146 - Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu:
On spectral analysis of directed signed graphs. 147-162
Volume 6, Number 3, November 2018
- Peter A. Flach, Myra Spiliopoulou, Serge Allegrezza, Matthias Böhmer, Burkhard Hess, Berthold Lausen:
Introduction to the special issue on Data Science in Europe. 163-165 - Christophe Ley, Stéphane P. A. Bordas:
What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences. 167-175 - Arno Siebes:
Data science as a language: challenges for computer science - a position paper. 177-187 - Claus Weihs, Katja Ickstadt:
Data Science: the impact of statistics. 189-194 - Göran Kauermann, Thomas Seidl:
Data Science: a proposal for a curriculum. 195-199 - Gilbert Saporta:
Training data scientists: a few challenges. 201-204 - Valerio Grossi, Beatrice Rapisarda, Fosca Giannotti, Dino Pedreschi:
Data science at SoBigData: the European research infrastructure for social mining and big data analytics. 205-216 - Hendrik Blockeel:
Declarative data analysis. 217-223 - Walter J. Radermacher:
Official statistics in the era of big data opportunities and threats. 225-231 - Jan von Hein, Anna Bizer:
Social Media and the Protection of Privacy: Current Gaps and Future Directions in European Private International Law. 233-239 - Johann M. Kraus, Ludwig Lausser, Peter Kuhn, Franz Jobst, Michaela Bock, Carolin Halanke, Michael Hummel, Peter Heuschmann, Hans A. Kestler:
Big data and precision medicine: challenges and strategies with healthcare data. 241-249 - Ricardo Cruz-Correia, Duarte Ferreira, Gustavo Bacelar, Pedro Manuel Vieira Marques, Priscila Alves Maranhão:
Personalised medicine challenges: quality of data. 251-259 - Niels Peek, Pedro Pereira Rodrigues:
Three controversies in health data science. 261-269
Volume 6, Number 4, December 2018
- Longbing Cao, Jae-Gil Lee, Xuemin Lin:
Introduction to the special issue on Data Science in Asia (with PAKDD'2017). 271-272 - Harish Yenala, Ashish Jhanwar, Manoj Kumar Chinnakotla, Jay Goyal:
Deep learning for detecting inappropriate content in text. 273-286 - Tao Meng, Bo Yuan:
Parallel edge-based visual assessment of cluster tendency on GPU. 287-295 - Anup Naik, Hideyuki Maeda, Vibhor Kanojia, Sumio Fujita:
Scalable Twitter user clustering approach boosted by Personalized PageRank. 297-309 - Ali Anaissi, Nguyen Lu Dang Khoa, Yang Wang:
Automated parameter tuning in one-class support vector machine: an application for damage detection. 311-325 - Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Stable Bayesian optimization. 327-339 - WeePheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong, Wenping Zhang, Haoran Xie:
Drug prescription support in dental clinics through drug corpus mining. 341-349 - Teruaki Hayashi, Yukio Ohsawa:
Inferring variable labels using outlines of data in Data Jackets by considering similarity and co-occurrence. 351-361
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