Clustering Techniques for Temporal Data:A Survey
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Abstract
Temporal data Clustering is a process of grouping objects based on their temporal similarity. The field of temporal data mining has gained high popularity due to processing on large amount of data which is generated. Since an additional dimension is incorporated, it needs to be handled in an efficient way. As a consequence, large amounts of temporal data becomes available that needs to be analyzed. A complete understanding of the structure of data requires that it should be viewed as sequence of timestamped events. This paper presents a survey on the most significant techniques to deal with clustering of temporal data.
Keywords: Temporal Clustering; Data mining; Temporal data mining; Clustering; Stream Clustering
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