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ORCIDBig Data, Volume 7
Volume 7, Number 1, March 2019
- Renato M. Assunção, Konstantinos Pelechrinis:
Sports Analytics in the Era of Big Data: Moving Toward the Next Frontier. 1-2
- Kristina Gavin Bigsby, Jeffrey W. Ohlmann, Kang Zhao
:
Keeping it 100: Social Media and Self-Presentation in College Football Recruiting. 3-20 - Giuseppe Jurman:
Seasonal Linear Predictivity in National Football Championships. 21-34 - Iman Behravan, Seyed Hamid Zahiri, Seyed Mohammad Razavi, Roberto Trasarti:
Finding Roles of Players in Football Using Automatic Particle Swarm Optimization-Clustering Algorithm. 35-56 - Floris R. Goes, Matthias Kempe, Laurentius Antonius Meerhoff, Koen A. P. M. Lemmink:
Not Every Pass Can Be an Assist: A Data-Driven Model to Measure Pass Effectiveness in Professional Soccer Matches. 57-70 - Uwe Dick, Ulf Brefeld:
Learning to Rate Player Positioning in Soccer. 71-82
Volume 7, Number 2, June 2019
- Weiping Zhang, Mohit Kumar:
Artificial Intelligence in China. 85-86
- Yu Yao, Junhui Zhao, Lenan Wu:
Multiple Targets Tracking with Big Data-Based Measurement for Extended Binary Phase Shift Keying Transceiver. 87-98 - Huifeng Xue, Qiaoyun Liu, Junjie Hou, Yi Wan:
Abnormal Data Region Discrimination and Cross-Monitoring Points Historical Correlation Repair of Water Intake Data. 99-113 - Qingxu Meng, Kaicheng Li, Chen Zhao:
An Improved Particle Filtering Algorithm Using Different Correlation Coefficients for Nonlinear System State Estimation. 114-120 - Xiaoxia Lu:
An Empirical Study on the Artificial Intelligence Writing Evaluation System in China CET. 121-129 - Zhao Liu, Xincheng Sun, Shuai Wang, Mengjiao Pan, Yue Zhang, Zhendong Ji:
Midterm Power Load Forecasting Model Based on Kernel Principal Component Analysis and Back Propagation Neural Network with Particle Swarm Optimization. 130-138
Volume 7, Number 3, September 2019
- Zoran Obradovic:
Editorial Message. 139
- Travis Greene, Galit Shmueli, Soumya Ray, Jan Fell:
Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers. 140-162 - Yeonkook J. Kim, Hayoung Park:
Improving Prediction of High-Cost Health Care Users with Medical Check-Up Data. 163-175 - Adhirai Subramaniyam, Rajendra Prasad Mahapatra, Paramjit Singh:
Taylor and Gradient Descent-Based Actor Critic Neural Network for the Classification of Privacy Preserved Medical Data. 176-191 - Muhammad Mudassar, Yanlong Zhai, Lejian Liao:
Efficient State Management for Scaling Out Stateful Operators in Stream Processing Systems. 192-206
- Bart Baesens:
BART: BAckward Regression Trimming. 207-213
Volume 7, Number 4, December 2019
- Haitham Nobanee:
Call for Special Issue Papers: Big Data in Business. 215 - Zoran Obradovic:
Editorial Message. 216-217 - Silvio Carta:
Interview with Dr. Silvio Carta, Author of the Book Big Data, Code and the Discrete City (Routledge 2019). 218-220 - Haneen Arafat Abu Alfeilat, Ahmad B. A. Hassanat, Omar Lasassmeh, Ahmad S. Tarawneh, Mahmoud Bashir Alhasanat, Hamzeh Eyal Salman, V. B. Surya Prasath:
Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review. 221-248 - Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani:
An Experience-Centered Approach to Training Effective Data Scientists. 249-261 - Ron Bekkerman, Adi Zmirli, Scott Kirkpatrick:
Mining the Thin Air - for Understanding of Urban Society. 262-275 - Vasant Dhar, Chenshuo Sun, Puneet Batra:
Transforming Finance Into Vision: Concurrent Financial Time Series as Convolutional Nets. 276-285 - Sofie De Cnudde, Yanou Ramon, David Martens, Foster J. Provost:
Deep Learning on Big, Sparse, Behavioral Data. 286-307
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