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Big Data Research, Volume 14

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Volume 14, December 2018

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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
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Sourish Das, Sasanka Roy, Rajiv Sambasivan:
Fast Gaussian Process Regression for Big Data. 12-26
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Nanfei Sun, Bingjun Sun, Jian (Denny) Lin, Michael Yu-Chi Wu:
Lossless Pruned Naive Bayes for Big Data Classifications. 27-36
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Xiaoying Wu, Dimitri Theodoratos, Timos Sellis:
From Homomorphisms to Embeddings: A Novel Approach for Mining Embedded Patterns from Large Tree Data. 37-53

Special Section

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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
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Krishn Kumar Mishra, Hemant Bisht, Tribhuvan Singh, Victor Chang:
A Direction Aware Particle Swarm Optimization with Sensitive Swarm Leader. 57-67
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David Chalupa, Ken A. Hawick, James Alfred Walker:
Hybrid Bridge-Based Memetic Algorithms for Finding Bottlenecks in Complex Networks. 68-80
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  - journals/bdr/HussainLKTA18
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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
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Ashish K. Tripathi, Kapil Sharma, Manju Bala:
A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce. 93-100
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Matthias Carnein, Heike Trautmann:
evoStream - Evolutionary Stream Clustering Utilizing Idle Times. 101-111
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Ivars Dzalbs, Tatiana Kalganova:
Forecasting Price Movements in Betting Exchanges Using Cartesian Genetic Programming and ANN. 112-120

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