UBIQUITOUS DATA MINING

Ubiquitous Knowledge Discovery is another research area at the intersection of machine learning and data mining with mobile and distributed systems. A high level framework and various objects of studies is the main characteristic for analyzing ubiquitous knowledge discovery systems is introduced in this paper. Next, various cases from a wide scope of use territories are reviewed and examined regarding this structure. In light of this material, essential attributes of this field are recognized and various research challenges are examined. The dissemination of data stream frameworks, remote systems and cell phones motivates the requirement for an effective information investigation instrument fit for picking up experiences about these consistent data streams. Ubiquitous data mining (UDM) is concerned about this issue. UDM is the timecritical procedure of pattern disclosure in information streams in a remote domain. In this paper, the best in class of mining information streams is given and our approach in handling the issue is displayed. The paper likewise features the tended to and open issues in the field.

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