منابع مشابه
A survey of temporal data mining
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 t...
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Spatio-temporal data sets are often very large and difficult to analyze and display. Since they are fundamental for decision support in many application contexts, recently a lot of interest has arisen toward data-mining techniques to filter out relevant subsets of very large data repositories as well as visualization tools to effectively display the results. In this paper we propose a data-mini...
متن کاملSpatio-Temporal Data Mining: A Survey of Problems and Methods
Large volumes of spatio-temporal data are increasingly collected and studied in diverse domains including, climate science, social sciences, neuroscience, epidemiology, transportation, mobile health, and Earth sciences. Spatio-temporal data differs from relational data for which computational approaches are developed in the data mining community for multiple decades, in that both spatial and te...
متن کاملMining Frequent Patterns from Spatio- Temporal Data Sets: a Survey
Space and time are implicit in every activity of life. Every real-world object has its past, present, future and hence is intrinsically tied up with location and time. Storing spatio-temporal attributes in the databases along with the thematic attributes enriches the data and the inherent knowledge stored in the database. Spatio-temporal databases provide description of real-world phenomenon in...
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ژورنال
عنوان ژورنال: Sadhana
سال: 2006
ISSN: 0256-2499,0973-7677
DOI: 10.1007/bf02719780