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ORCIDBig Data Research, Volume 14
Volume 14, December 2018
- Radwa El Shawi, Sherif Sakr, Domenico Talia
, Paolo Trunfio:
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. 1-11 - Sourish Das, Sasanka Roy, Rajiv Sambasivan:
Fast Gaussian Process Regression for Big Data. 12-26 - Nanfei Sun, Bingjun Sun, Jian (Denny) Lin, Michael Yu-Chi Wu:
Lossless Pruned Naive Bayes for Big Data Classifications. 27-36 - Xiaoying Wu, Dimitri Theodoratos, Timos Sellis:
From Homomorphisms to Embeddings: A Novel Approach for Mining Embedded Patterns from Large Tree Data. 37-53
- Kevin Kam Fung Yuen, Steven Sheng-Uei Guan, Kit Yan Chan, Vasile Palade:
Editorial for Special Issue on "Hybrid Evolutionary and Swarm Techniques for Big Data Analytics and Applications". 55-56 - Krishn Kumar Mishra, Hemant Bisht, Tribhuvan Singh, Victor Chang:
A Direction Aware Particle Swarm Optimization with Sensitive Swarm Leader. 57-67 - David Chalupa, Ken A. Hawick, James Alfred Walker:
Hybrid Bridge-Based Memetic Algorithms for Finding Bottlenecks in Complex Networks. 68-80 - Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Askar:
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. 81-92 - Ashish K. Tripathi, Kapil Sharma, Manju Bala:
A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce. 93-100 - Matthias Carnein, Heike Trautmann:
evoStream - Evolutionary Stream Clustering Utilizing Idle Times. 101-111 - Ivars Dzalbs, Tatiana Kalganova:
Forecasting Price Movements in Betting Exchanges Using Cartesian Genetic Programming and ANN. 112-120
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