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Publication search results
found 26 matches
- 2019
- Weiping Zhang, Mohit Kumar:
Artificial Intelligence in China. Big Data 7(2): 85-86 (2019) - 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. Big Data 7(4): 221-248 (2019) - Renato M. Assunção, Konstantinos Pelechrinis:
Sports Analytics in the Era of Big Data: Moving Toward the Next Frontier. Big Data 7(1): 1-2 (2019) - Bart Baesens:
BART: BAckward Regression Trimming. Big Data 7(3): 207-213 (2019) - Iman Behravan, Seyed Hamid Zahiri, Seyed Mohammad Razavi, Roberto Trasarti:
Finding Roles of Players in Football Using Automatic Particle Swarm Optimization-Clustering Algorithm. Big Data 7(1): 35-56 (2019) - Ron Bekkerman, Adi Zmirli, Scott Kirkpatrick:
Mining the Thin Air - for Understanding of Urban Society. Big Data 7(4): 262-275 (2019) - Kristina Gavin Bigsby, Jeffrey W. Ohlmann, Kang Zhao:
Keeping it 100: Social Media and Self-Presentation in College Football Recruiting. Big Data 7(1): 3-20 (2019) - Silvio Carta:
Interview with Dr. Silvio Carta, Author of the Book Big Data, Code and the Discrete City (Routledge 2019). Big Data 7(4): 218-220 (2019) - Sofie De Cnudde, Yanou Ramon, David Martens, Foster J. Provost:
Deep Learning on Big, Sparse, Behavioral Data. Big Data 7(4): 286-307 (2019) - Vasant Dhar, Chenshuo Sun, Puneet Batra:
Transforming Finance Into Vision: Concurrent Financial Time Series as Convolutional Nets. Big Data 7(4): 276-285 (2019) - Uwe Dick, Ulf Brefeld:
Learning to Rate Player Positioning in Soccer. Big Data 7(1): 71-82 (2019) - 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. Big Data 7(1): 57-70 (2019) - Travis Greene, Galit Shmueli, Soumya Ray, Jan Fell:
Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers. Big Data 7(3): 140-162 (2019) - Giuseppe Jurman:
Seasonal Linear Predictivity in National Football Championships. Big Data 7(1): 21-34 (2019) - Yeonkook J. Kim, Hayoung Park:
Improving Prediction of High-Cost Health Care Users with Medical Check-Up Data. Big Data 7(3): 163-175 (2019) - 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. Big Data 7(2): 130-138 (2019) - Xiaoxia Lu:
An Empirical Study on the Artificial Intelligence Writing Evaluation System in China CET. Big Data 7(2): 121-129 (2019) - Qingxu Meng, Kaicheng Li, Chen Zhao:
An Improved Particle Filtering Algorithm Using Different Correlation Coefficients for Nonlinear System State Estimation. Big Data 7(2): 114-120 (2019) - Muhammad Mudassar, Yanlong Zhai, Lejian Liao:
Efficient State Management for Scaling Out Stateful Operators in Stream Processing Systems. Big Data 7(3): 192-206 (2019) - Haitham Nobanee:
Call for Special Issue Papers: Big Data in Business. Big Data 7(4): 215 (2019) - Zoran Obradovic:
Editorial Message. Big Data 7(3): 139 (2019) - Zoran Obradovic:
Editorial Message. Big Data 7(4): 216-217 (2019) - Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani:
An Experience-Centered Approach to Training Effective Data Scientists. Big Data 7(4): 249-261 (2019) - Adhirai Subramaniyam, Rajendra Prasad Mahapatra, Paramjit Singh:
Taylor and Gradient Descent-Based Actor Critic Neural Network for the Classification of Privacy Preserved Medical Data. Big Data 7(3): 176-191 (2019) - Huifeng Xue, Qiaoyun Liu, Junjie Hou, Yi Wan:
Abnormal Data Region Discrimination and Cross-Monitoring Points Historical Correlation Repair of Water Intake Data. Big Data 7(2): 99-113 (2019) - Yu Yao, Junhui Zhao, Lenan Wu:
Multiple Targets Tracking with Big Data-Based Measurement for Extended Binary Phase Shift Keying Transceiver. Big Data 7(2): 87-98 (2019)
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