Big Data Clustering:A Review. Shirkhorshidi A S,Aghabozorgi S,Wah T Y, et al. Computational Science and Its Applications-ICCSA 2014 . 2014S. Shirkhorshidi, S. Aghabozorgi, T. Y. Wah, and T. Herawan, "Big Data Clustering: A Review," In Computational Science and Its Applications-ICCSA...
The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design a
The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design a
This model offers data-level parallelism to process millions of threads efficiently that allows algorithms to scale to large amounts of data. GPU’s focus is on enhancing the processing capability, storage and the resources in a single system whereas. MapReduce adds computer nodes to a system ...
Finally, it draws on the PDCA management concept to standardize the teaching evaluation process, providing a systematic methodology for university teaching evaluation in the context of big data. Literature review This literature review summarises the current popular research on knowledge teaching evaluation...
we have attempted to introduce a new algorithm for clustering big data with varied density using a Hadoop platform running MapReduce. The main idea of this research is the use of local density to find each point’s density. This strategy can avoid the situation of connecting clusters with vary...
Big dataData streamsImbalanced clusteringImbalanced regressionDespite more than two decades of continuous development learning from imbalanced data is still a ... B Krawczyk - 《Progress in Artificial Intelligence》 被引量: 129发表: 2016年 Data science in education: Big data and learning analytics Thi...
Using clustering techniques banks can take important decisions. It can identify the new branch locations where the demand is high. Association rule is applied in banking sectors to predict the amount of cash needed to be present in a branch at the specific time of every year. ...
In this work, we attempt to tackle such challenges by developing an online text-stream clustering approach using a modified density-based clustering model with collected microblogging big data. The system kernel combines three technical components, including a dynamic term weighting scheme, a ...
Microsoft Azure also has a dedicated cloud platform for government workloads. Security alone should not be the primary decision point for on-premises systems. You should carefully evaluate the level of security provided by Microsoft Azure before deciding to retain your big data solutions on-premises....