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The idea of Relational Databases. David Maier. Copyright 1983, computing device technology Press, Rockville. Hardcover in first-class . markings. NO airborne dirt and dust jacket. Shelved in expertise. The Bookman serving Colorado Springs because 1990.
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Piatetsky-Shapiro, and P. Smyth. From data mining to knowledge discovery: An overview. In Advances in Knowledge Discovery and Data Mining, pp. 1–34. MIT press, 1996. 4. H. Gueting and M. Schneider. Moving Objects Databases. Elsevier, 2005. 5. T. Hagerstrand. What about people in regional science? Papers of the Regional Science Association, 24:7–21, 1970. 6. K. J. Egenhofer. Modeling moving objects over multiple granularities. Annual Mathematics Artiﬁcial Intelligence, 36(1–2):177–194, 2002. 7. -J.
Still, the corresponding behaviour is not just a set of characteristics. Thus, one and the same characteristic or combination of characteristics can occur several times, and these occurrences are treated as different, while in a set each element may occur only once. A behaviour over a set of entities may hence be conceptualised as the frequency distribution of the characteristic values over this set of entities. The absence of natural ordering and distances on a population of entities does not mean that ordering and distances between entities cannot exist at all.
E. e. paths in space? What entities? ) • Find all cases when an entity repeatedly made the same path in space (What path in space? What entity? ) • Finds groups of entities that had similar movement behaviours (What is the common pattern for these behaviours? What entities? ) From the examples given above, the ﬁrst is an elementary question, since it addresses individual characteristics (locations) and references (entities and time moments). The remaining examples are synoptic, since they involve behaviours (in particular, paths in space) and reference subsets (in particular, time intervals).