Significance and challenges of big data research
In recent years, the rapid development of Internet, Internet of Things, and Cloud Computing
have led to the explosive growth of data in almost every industry and business area. Big …
have led to the explosive growth of data in almost every industry and business area. Big …
Visualization analysis of big data research based on Citespace
W Wang, C Lu - Soft Computing, 2020 - Springer
In recent years, with the massive growth of data, the world today has entered the era of big
data. Big data has brought tremendous value to all fields of today's society, and it has also …
data. Big data has brought tremendous value to all fields of today's society, and it has also …
On distributed fuzzy decision trees for big data
Fuzzy decision trees (FDTs) have shown to be an effective solution in the framework of fuzzy
classification. The approaches proposed so far to FDT learning, however, have generally …
classification. The approaches proposed so far to FDT learning, however, have generally …
A MapReduce solution for associative classification of big data
Associative classifiers have proven to be very effective in classification problems.
Unfortunately, the algorithms used for learning these classifiers are not able to adequately …
Unfortunately, the algorithms used for learning these classifiers are not able to adequately …
Multi-objective evolutionary clustering for large-scale dynamic community detection
Y Yin, Y Zhao, H Li, X Dong - Information Sciences, 2021 - Elsevier
The research of dynamic community detection is becoming increasingly popular since it can
disclose how the community structures change over time in dynamic networks. Evolutionary …
disclose how the community structures change over time in dynamic networks. Evolutionary …
Concept, technology and practice of “man-made reservoirs” development
ZOU Caineng, D Yunhong, LU Yongjun… - Petroleum Exploration …, 2017 - Elsevier
Oil and gas resources in low permeability and unconventional reservoirs are playing more
and more important role in global energy supply, and are confronted with pressing problems …
and more important role in global energy supply, and are confronted with pressing problems …
A survey of spatio-temporal big data indexing methods in distributed environment
With the widespread use of mobile and sensing devices, and the popularity of online map-
based services, such as navigation services, the volume of spatio-temporal data is growing …
based services, such as navigation services, the volume of spatio-temporal data is growing …
State-of-the-art review for application of big data technology in aquaculture
D Qingling, LIU Yiran, Z Lu, LI Daoliang - Nongye Jixie Xuebao …, 2018 - nyjxxb.net
It has many difficulties in monitoring and detection accurately and optimal control in
aquaculture because the targets are so special and environment is so sophisticated that …
aquaculture because the targets are so special and environment is so sophisticated that …
Dynamic fire risk classification prediction of stadiums: multi-dimensional machine learning analysis based on intelligent perception
Y Lu, X Fan, Z Zhao, X Jiang - Applied Sciences, 2022 - mdpi.com
Stadium fires can easily cause massive casualties and property damage. The early risk
prediction of stadiums will be able to reduce the incidence of fires by making corresponding …
prediction of stadiums will be able to reduce the incidence of fires by making corresponding …
Agriculture knowledge graph construction and application
H Qin, Y Yao - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
For the purpose of establishing vertical knowledge graph and auxiliary applications in the
agricultural field, a set of agricultural knowledge graph construction methods, calculation …
agricultural field, a set of agricultural knowledge graph construction methods, calculation …