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ORCIDICBDE 2018: Honolulu, HI, USA
- Proceedings of the 2018 International Conference on Big Data and Education, ICBDE 2018, Honolulu, HI, USA, March 09-11, 2018. ACM 2018, ISBN 978-1-4503-6358-7
Data Mining and Processing
- Chiu-Shu Pan, Chi-Wei Wang, Meng-Hsiun Tsai, Cheng-Bang Kuo, Cheng-Hsuan Kuo:
Classification of Dementia Based on Over-Sampling Approach and Decision Tree. 1-4 - Koki Kyo:
A Method for Big Data Analysis of the impact of Economic and Social Events on Japanese Stock Prices. 5-10 - David Jesenko, Matej Brumen, Niko Lukac
, Borut Zalik, Domen Mongus:
Visualization and Analytics Tool for Multi-dimensional Data. 11-15 - Sultanah Mohammed Alshammari, Armin R. Mikler:
Big Data Opportunities for Disease Outbreaks Detection in Global Mass Gatherings. 16-21 - Guanzhi Li, Xuan Yang, Wang Jun, Yang Tao:
A Theoretical Credit Reporting System based on Big Data Concept: A Case study of Humen Textile Garment Enterprises. 22-26 - Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger:
New Tighter Upper Bounds for Mining High Average-Utility Itemsets. 27-32 - Panqiu Jiang:
Research on College Students' Psychological Crisis Intervention in the Context of Big Data. 33-37 - Andrea Yoder Clark, Yaoran Li, Yang Jiang:
Using Natural Language Processing and Qualitative Thematic Coding to Explore Math Learning and Critical Thinking. 38-43 - Andrea Yoder Clark, Feng Yu, Shaoqing Yi, Jia Shi:
Using Data Mining to Analyze High School AP Exam Pass Fail Rates. 44-47 - Belinda Liu, Thenna Ponnusamy, Adithya Ramakrishnan, Ziyu Lang, Arjun Bhaigond, Amit Desai, Yen Nguyen:
Distributed Data Aggregation at Scale for Large Community of Users. 48-51 - Nawsher Khan, Mohammed Alsaqer, Habib Shah, Gran Badshah, Aftab Ahmad Abbasi, Soulmaz Salehian:
The 10 Vs, Issues and Challenges of Big Data. 52-56
Artificial Intelligence and Algorithm
- Matin Pirouz, Justin Zhan:
Optimized Label Propagation Community Detection on Big Data Networks. 57-62 - Kang-Mo Jung:
Fast Entropy Attribute Value Frequency Algorithm to Detect Outliers for Categorical Data. 63-66 - Sean D. Holcomb, William K. Porter, Shaun Van Ault, Guifen Mao, Jin Wang:
Overview on DeepMind and Its AlphaGo Zero AI. 67-71 - Mallory Helms, Shaun Van Ault, Guifen Mao, Jin Wang:
An Overview of Google Brain and Its Applications. 72-75 - Danijel Zlaus, Domen Mongus:
In-place SIMD Accelerated Mathematical Morphology. 76-79 - Matin Pirouz, Sai Phani Parsa, Justin Zhan:
Optimized Rank Estimator in Big Data Social Networks. 80-84
Computer Assisted Instruction and E-Learning
- Josué Aarón López-Leyva, Miguel A. Ponce, Raul I. Ramos-Garcia, Ariana Talamantes:
Novel Multi-Platform Method for Improve the High-Performance-Networks Standards Understanding. 85-89 - Jianhua Gu, Xingshe Zhou, Xutao Yan:
Design and Implementation of Students' Score Correlation Analysis System. 90-94 - Makoto Nakazawa, Michiko Nakano:
On the Influence of Network Quality upon International Distance Learning. 95-100 - Shaosen Cao:
The Study of Learner Autonomy in Foreign Language Learning in Big Data Era. 101-105 - Yanhui Wu:
Language E-learning based on Learning Analytics in Big Data Era. 106-111
Subject Education and Education Management
- Lingling Wang, Li Fu, Xiaoguang Hu:
A Series of Scientific Practice Activities for Increasing Middle School Students' Interest in Robot. 112-115 - Lan Jin, Ying Su:
The Teaching Reform of Integration of Theory and Practice with Interest Leading and Ability Training. 116-120 - Sarah Roessler, Mark Allison:
A Gender-Aware Gamified Scaffolding of Mathematics for the Middle School Level. 121-126 - Yuanyuan Li, Xuehong Wan:
A Comparative Study of Current Educational Situation of Overseas Students in China and the United States and Its Enlightenment to China. 127-133 - Li Liu, Guoqing Ma, Zhiwei Hao:
Exploration on Teaching Quality Reform of Engineering Training in Colleges and Universities. 134-138
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