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International Journal of Data Science and Analytics, Volume 12
Volume 12, Number 1, June 2021
- Wei Du, Xintao Wu
:
Enhancing personalized modeling via weighted and adversarial learning. 1-14 - Simon Luo
, Victor W. Chu, Zhidong Li
, Yang Wang
, Jianlong Zhou
, Fang Chen
, Raymond K. Wong:
Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction. 15-29 - Monidipa Das
:
Analyzing impact of parental occupation on child's learning performance: a semantics-driven probabilistic approach. 31-44 - Johannes Wachs
, Mihály Fazekas, János Kertész:
Corruption risk in contracting markets: a network science perspective. 45-60 - Zhaokun Xue
, Alva L. Couch
:
A recommendation system for scientific water data. 61-75 - Alina Sîrbu
, Gennady L. Andrienko, Natalia V. Andrienko, Chiara Boldrini
, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, Luca Pappalardo, Andrea Passarella
, Dino Pedreschi
, Laura Pollacci, Francesca Pratesi, Rajesh Sharma:
Correction to: Human migration: the big data perspective. 77 - Nikolaus Forgó, Stefanie Hänold, Jeroen van den Hoven, Tina Krügel, Iryna V. Lishchuk, René Mahieu, Anna Monreale, Dino Pedreschi
, Francesca Pratesi, David van Putten:
Correction to: An ethico-legal framework for social data science. 79
Volume 12, Number 2, August 2021
- Longbing Cao
, Qiang Yang, Philip S. Yu:
Data science and AI in FinTech: an overview. 81-99 - Yanchen Wang, Lisa Singh:
Analyzing the impact of missing values and selection bias on fairness. 101-119 - Paulo Paraíso
, Saulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama:
Using network features for credit scoring in microfinance. 121-134 - Valentina Shumovskaia, Kirill Fedyanin
, Ivan Sukharev, Dmitry Berestnev, Maxim Panov:
Linking bank clients using graph neural networks powered by rich transactional data. 135-145 - Ka Yee Wong, Raymond K. Wong
:
Big data quality prediction informed by banking regulation. 147-164 - Bertrand Lebichot
, Gian Marco Paldino, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi
:
Incremental learning strategies for credit cards fraud detection. 165-174 - Qiyu Wang:
Cryptocurrencies asset pricing via machine learning. 175-183
Volume 12, Number 3, September 2021
- Sambriddhi Mainali
, Max H. Garzon, Deepak Venugopal, Kalidas Jana, Ching-Chi Yang, Nirman Kumar, Dale Bowman, Lih-Yuan Deng:
An Information-theoretic approach to dimensionality reduction in data science. 185-203 - Mariana Oliveira
, Nuno Moniz
, Luís Torgo
, Vítor Santos Costa
:
Biased resampling strategies for imbalanced spatio-temporal forecasting. 205-228 - Kazuo Aoyama
, Kazumi Saito, Tetsuo Ikeda:
CPI-model-based analysis of sparse k-means clustering algorithms. 229-248 - Michael C. Thrun
, Felix Pape, Alfred Ultsch:
Conventional displays of structures in data compared with interactive projection-based clustering (IPBC). 249-271 - Komallapalli Kaushik, P. Krishna Reddy, Anirban Mondal, Akhil Ralla:
An incremental framework to extract coverage patterns for dynamic databases. 273-291 - Jay Damask
:
Correction to: A consistently oriented basis for eigenanalysis. 293 - Zhaokun Xue
, Alva L. Couch
:
Correction to: A recommendation system for scientific water data. 295
Volume 12, Number 4, October 2021
- Ralph Foorthuis
:
On the nature and types of anomalies: a review of deviations in data. 297-331 - Félix Iglesias
, Tanja Zseby
, Arthur Zimek
:
Clustering refinement. 333-353 - M. Sivakumar
, Srinivasulu Reddy Uyyala
:
Aspect-based sentiment analysis of mobile phone reviews using LSTM and fuzzy logic. 355-367 - Bowen Du, Zirong Zhao, Jiejie Zhao, Le Yu
, Leilei Sun
, Weifeng Lv:
Modelling the epidemic dynamics of COVID-19 with consideration of human mobility. 369-382 - Jesimar da Silva Arantes
, Márcio da Silva Arantes, Herberth Birck Fröhlich
, Laure Siret, Renan Bonnard
:
A novel unsupervised method for anomaly detection in time series based on statistical features for industrial predictive maintenance. 383-404 - Michael C. Thrun
, Felix Pape, Alfred Ultsch:
Correction to: Conventional displays of structures in data compared with interactive projection-based clustering (IPBC). 405
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