Results 51 to 60 of about 41,447 (233)
Proposed Business Intelligence Systemthrough Big Data [PDF]
Every company or institution in the world has huge amounts of raw data. Since, we are living now in the era of data and data explosion, data is generated in an alarming rates.
Hasanen S. Abdullah, Saif Bashar Neama
doaj +1 more source
Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data
We live in an age where everything around us is being created. Data generation rates are so scary, creating pressure to implement costly and straightforward data storage and recovery processes. MapReduce model functionality is used for creating a cluster
Ankit Kumar +3 more
doaj +1 more source
Efficient and Reliable Hybrid Cloud Architechture for Big Data
The objective of our paper is to propose a Cloud computing framework which is feasible and necessary for handling huge data. In our prototype system we considered national ID database structure of Bangladesh which is prepared by election commission of ...
Ahmed, Nova, Tarannum, Narzu
core +1 more source
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
wiley +1 more source
This paper develops a novel joint optimisation model using column generation (CG) for airport parking gate and taxi route assignment, especially during peak hours. It proposes a parallel fusion algorithm combining artificial bee colony and adaptive genetic algorithm to solve the model efficiently.
Fujun Wang +5 more
wiley +1 more source
Adaptive Node-Oriented Data Placement for Heterogeneous Hadoop Clusters
Modern society is experiencing a data explosion thanks to rapid IT development and the increasing intelligence of devices. The vast and complex data can be utilized to extract actionable insight using a big data processing framework.
Vishnu Prasad Verma +2 more
doaj +1 more source
Spatiotemporal Big Data Retrieval Method Based on GeoHash Algorithm and Multimode Composite Index
With the increasing demand for multisource heterogeneous spatiotemporal data in applications such as smart cities and intelligent transportation, how to balance retrieval accuracy, multimodal adaptation, and high concurrency response has become a key issue.
Yanxin Wang, Federica Proietto
wiley +1 more source
LINEAR REGRESSION WITH R AND HADOOP [PDF]
In this paper we present a way to solve the linear regression model with R and Hadoop using the Rhadoop library. We show how the linear regression model can be solved even for very large models that require special technologies.
Bogdan OANCEA
doaj
Design Architecture-Based on Web Server and Application Cluster in Cloud Environment
Cloud has been a computational and storage solution for many data centric organizations. The problem today those organizations are facing from the cloud is in data searching in an efficient manner.
Annappa, Shah, Gita, Shet, K. C.
core +1 more source
Review of artificial intelligence applications in geothermal energy extraction from hot dry rock
This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji +5 more
wiley +1 more source

