1 |
Khan N, Yaqoob I, Hashem IA, et al. Big Data: Survey, technologies, opportunities, and challenges[J]. Sci World J, 2014,2014:712826.
|
2 |
Sagiroglu S, Sinanc D. Big data: A review. Collaboration technologies and systems (CTS)[R]. San Diego:IEEE, 2013.
|
3 |
Laney D. 3D data management: controlling data volume, velocity and variety. Meta Group Res Note, 2001:1-4.
|
4 |
Pawar AM. Big Data mining: challenges, technologies, tools and applications[J]. Database Syst J, 2016,2:28-33.
|
5 |
Reed D, Dongarra J. Exascale computing and big data[J]. Commun ACM, 2015, 58(7):56-68.
|
6 |
Tsai CF, Lin WC, Ke SW. Big data mining with parallel computing: A comparison of distributed and MapReduce methodologies[J]. J Syst Softw, 2016,122:83-92.
|
7 |
Qiu JF, Wu QH, Ding GR, et al. A survey of machine learning for big data processing[J]. EURASIP J Adv Signal Proc, 2016(1):67.
|
8 |
Guru P, Nagesh H, Prabhu S. High performance computation of big data: performance optimization approach towards a parallel frequent item set mining algorithm for transaction data based on Hadoop MapReduce framework[J]. IJISA, 2017,1:75-84.
|
9 |
Wang Y, Kung LA, Burd TA. Big data analytics: understanding its capabilities and potential benefits forhealthcare organizations[J]. Technol Forecast Soc, 2016. (forthcoming)
|
10 |
Lyu Y, Xie Q, Zheng B, et al. Insights and thinking from big data of cervical examination and human papillomavirus test[J]. Chin J Clin Lab Mgt, 2016,4(1):8-12.
|
11 |
Simeondubach D, Watson P. Biobanking 3.0: evidence based and customer focused biobanking[J]. Clin Biochem, 2014,47(4-5):300-308.
|
12 |
Grauholm J, Khoo SK, Nicholov RZ, et al. Gene expression profiling of archived dried blood spot samples from the Danish Neonatal Screening Biobank[J]. Mol Genet Metab, 2015,116(3):119-124.
|
13 |
Laisk-Podar T, Lindgren C, Peters M, et al. Ovarian physiology and GWAS: bionanks, biology, and beyond[J]. Trends Endocrinol Metab, 2016,27(7):516-528.
|
14 |
Ravid R. Biobanks for biomarkers in neurological disorders: the Da Vinci bridge for optimal clinico-pathological connection[J]. J Neurol Sci, 2009,283(1-2):119-126.
|
15 |
Branković I, Malogajski J, Morré SA. Biobanking and translation of human genetics and genomics for infectious diseases[J]. App Transl Genom, 2014,3(2):30-35.
|
16 |
Krysiak-Baltyn K, Nordahl Petersen T, Audouze K, et al. Compass: a hybrid method for clinical and biobank data mining[J]. J Biomed Inform, 2014,47:160-170.
|
17 |
Welikala RA, Fraz MM, Foster PJ, et al. Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies[J]. Comput Biol Med, 2016,71:67-76.
|
18 |
Singh B, Kumar S, Kaur G, et al. A survey on big data: challenges, tools and technique[J]. IJARCET, 2016,7(6): 230-234.
|
19 |
Sivarajah U, Kamal MM, Irani Z, et al. Critical analysis of big data challenges and analytical methods[J]. J Bus Res, 2017,70:263-286.
|
20 |
Kaur K. Big Data barriers and opportunities[J]. IJARCS, 2016,7(6):263-265.
|
21 |
Siddiqa A, Hashem IAT, Yaqoob I, et al. A survey of big data management: Taxonomy and state-of-the-art[J]. J Netw Comput Appl, 2016,71:151-166.
|