Laxman, Srivatsan and Sastry, PS (2006) A survey of temporal data mining. In: Sadhana, 31 (2). pp. 173-198.
A_survey_of_temporal.pdf - Published Version
Data mining is concerned with analysing large volumes of (often unstructured) data to automatically discover interesting regularities or relationships which in turn lead to better understanding of the underlying processes. The field of temporal data mining is concerned with such analysis in the case of ordered data streams with temporal interdependencies. Over the last decade many interesting techniques of temporal data mining were proposed and shown to be useful in many applications. Since temporal data mining brings together techniques from different fields such as statistics, machine learning and databases, the literature is scattered among many different sources. In this article, we present an overview of techniques of temporal data mining.We mainly concentrate on algorithms for pattern discovery in sequential data streams.We also describe some recent results regarding statistical analysis of pattern discovery methods.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Indian Institute of Science.|
|Keywords:||Temporal data mining;ordered data streams;temporal interdependency;pattern discovery.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||22 Mar 2012 08:38|
|Last Modified:||22 Mar 2012 08:38|
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