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Big Data Research, Volume 2

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Volume 2, Number 1, March 2015

Special Issue on Computation, Business, and Health Science

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Doug Vogel, Honggeng Zhou, Daning Hu:
Special Issue on Computation, Business, and Health Science. 1
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Tao Huang, Liang Lan, Xuexian Fang, Peng An, Junxia Min, FuDi Wang:
Promises and Challenges of Big Data Computing in Health Sciences. 2-11
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Yiming Qin, Hari Krishna Yalamanchili, Jing Qin, Bin Yan, Junwen Wang:
The Current Status and Challenges in Computational Analysis of Genomic Big Data. 12-18
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Mohammadhossein Barkhordari, Mahdi Niamanesh:
ScaDiPaSi: An Effective Scalable and Distributable MapReduce-Based Method to Find Patient Similarity on Huge Healthcare Networks. 19-27
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Shaokun Fan, Raymond Y. K. Lau, J. Leon Zhao:
Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix. 28-32
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Wei Li, Michael C. S. Wong, Jovan Cenev:
High Frequency Analysis of Macro News Releases on the Foreign Exchange Market: A Survey of Literature. 33-48

Volume 2, Number 2, June 2015

Visions on Big Data

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H. V. Jagadish:
Big Data and Science: Myths and Reality. 49-52
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Sabine Brunswicker, Elisa Bertino, Sorin Adam Matei:
Big Data for Open Digital Innovation - A Research Roadmap. 53-58
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Xiaolong Jin, Benjamin W. Wah, Xueqi Cheng, Yuanzhuo Wang:
Significance and Challenges of Big Data Research. 59-64
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Gang Chen, Sai Wu, Yuan Wang:
The Evolvement of Big Data Systems: From the Perspective of an Information Security Application. 65-73
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Jae-Gil Lee, Minseo Kang:
Geospatial Big Data: Challenges and Opportunities. 74-81
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Lee Sael, Inah Jeon, U Kang:
Scalable Tensor Mining. 82-86

Volume 2, Number 3, September 2015

Big Data, Analytics, and High-Performance Computing

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Omar Y. Al-Jarrah, Paul D. Yoo, Sami Muhaidat, George K. Karagiannidis, Kamal Taha:
Efficient Machine Learning for Big Data: A Review. 87-93
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Panagiotis D. Diamantoulakis, Vasileios M. Kapinas, George K. Karagiannidis:
Big Data Analytics for Dynamic Energy Management in Smart Grids. 94-101
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Xiaoyun Zhou, Xiongpai Qin, Keqin Li:
Parallel Techniques for Large Data Analysis in the New Version of a Futures Trading Evaluation Service. 102-109
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Thomas Ryan, Young Choon Lee:
Multi-Tier Resource Allocation for Data-Intensive Computing. 110-116
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Jialin Liu, Yu Zhuang, Yong Chen:
Hierarchical Collective I/O Scheduling for High-Performance Computing. 117-126

Volume 2, Number 4, December 2015

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Karen Works, Elke A. Rundensteiner:
Practical Identification of Dynamic Precedence Criteria to Produce Critical Results from Big Data Streams. 127-144
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Pietro Colombo, Elena Ferrari:
Privacy Aware Access Control for Big Data: A Research Roadmap. 145-154
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Kostas Kolomvatsos, Christos Anagnostopoulos, Stathes Hadjiefthymiades:
An Efficient Time Optimized Scheme for Progressive Analytics in Big Data. 155-165
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Pekka Pääkkönen, Daniel Pakkala:
Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems. 166-186
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Qingyao Wu, Jian Chen, Shen-Shyang Ho, Xutao Li, Huaqing Min, Chao Han:
Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. 187-201

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