Survey on Constrained based Data Stream Mining

Stream Data Mining: A Survey

A data stream is a massive, continuous and rapid sequence of data elements. Mining data streams raises new problems for the data mining community about how to mine continuous high-speed data items that you can only have one look at. Due to this reason, traditional data mining approach is replaced by systems of some special characteristics, such as continuous arrival in multiple, rapid, time-var...

Network Big Data: A Literature Survey on Stream Data Mining

With the rapid development of Internet, the internet of things and other information technology, big data usually exists in cyberspace as the form of the data stream. It brings great benefits for information society. Meanwhile, it also brings crucial challenges on big data mining in the data stream. Recently, academic and industrial communities have a widespread concern on massive data mining p...

A Survey of Stream Data Mining

At present a growing number of applications that generate massive streams of data need intelligent data processing and online analysis. Real-time surveillance systems, telecommunication systems, sensor networks and other dynamic environments are such examples. The imminent need for turning such data into useful information and knowledge augments the development of systems, algorithms and framew...

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...

Mining the Data Stream