A survey on data‐efficient algorithms in big data era

Data Stream Mining Algorithms in Big Data: A Survey

The infrastructure build in the big data platform is reliable to challenge the commercial and noncommercial IT development communities of data streams in high dimensional data cluster modeling. The APSO ie., Accelerated Particle Swarm Optimization is a technique which commonly known for data's are sourced to accumulate their continuation in the batch model induction algorithms which is not feas...

The Era of Big Spatial Data: A Survey

The recent explosion in the amount of spatial data calls for specialized systems to handle big spatial data. In this paper, we survey and contrast the existing work that has been done in the area of big spatial data. We categorize the existing work in this area from three different angles, namely, approach, architecture, and components. (1) The approaches used to implement spatial query process...

A Survey of Bitmap Index-Compression Algorithms for Big Data

With the growing popularity of Internet applications and the widespread use of mobile Internet, Internet traffic has maintained rapid growth over the past two decades. Internet Traffic Archival Systems (ITAS) for packets or flow records have become more and more widely used in network monitoring, network troubleshooting, and user behavior and experience analysis. In this paper, we survey bitmap...

Big Data: A Survey

In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related technologies, such as could computing, Internet of Things, data centers, and Hadoop. We then focus on the four phases of the value chain of big data, i.e., data generation, data acquisition, data storage, and data analysis. For each phase, we introdu...

A Survey on Big Data Analytics in Data Mining