• No results found

Scalable real-time classification of data streams with concept drift

N/A
N/A
Protected

Academic year: 2021

Share "Scalable real-time classification of data streams with concept drift"

Copied!
13
0
0

Loading.... (view fulltext now)

Full text

Figure

Fig. 1. Incremental time stamps and Triangular Number propagation. In this example 11 is the most recent time stamp and 1 the first time stamp recorded.
Fig. 4. Concept drift adaptation on the Random Tree data stream. Accuracy is plotted along the vertical axis, instance stream is plotted along the horizontal axis.
Fig. 6. Concept drift adaptation on the Hyperplane with oscillating boundary on a stream length of 10 million instances.
Fig. 7. Parallel initialisation setup.
+3

References

Related documents

20) Bachelor of Laws (Five Year Course) % Amended by Ordinance No.. 6 i) Environmental Studies shall be a compulsory subject for a previous year examination of the following

As marketing involves communication and delivering information to customers, all participants updated the information on their products or services through their

institutions to embrace new parameters and protocols. Finally, I will conclude with how COL has responded to the challenges of QA and provided support to Member States. But first

Hadoop performance is sensitive to network bandwidth. Replication or data movement across tiers during such net- work intensive phase may adversely affect the performance of the

Key words searched in the databases include director of nursing , DON, administration, nursing home , long-term care, turnover, intent to leave , intent to stay , role

Table 16 reports the results of the fixed-effect regressions with robust standard errors of next interval Tobin’s Q and ROA as they relate to the variable remuneration components

DIMMs, and hard disk drives, as opposed to their associated raw materials. This enables us to express the environmental impact of complex ensembles of diverse