By Noureddine Mouaddib, Guillaume Raschia (auth.), Yahiko Kambayashi, Dik-Lun Lee, Ee-peng Lim, Mukesh Mohania, Yoshifumi Masunaga (eds.)
This e-book provides the completely refereed joint post-proceedings of 3 workshops held in the course of the seventeenth foreign convention on Conceptual Modeling, ER '98, in Singapore in November 1998. The 50 revised papers awarded have passed through rounds of reviewing and revision. The booklet is split in sections on wisdom discovery, facts mining, information and internet warehousing, multidimensional databases, information warehouse layout, caching, info dissemination, replication, cellular networks, cellular systems, monitoring and tracking, collaborative paintings help, temporal facts modelling, relocating items and spatial indexing, spatio-temporal databases, and video database contents.
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Extra resources for Advances in Database Technologies: ER ’98 Workshops on Data Warehousing and Data Mining, Mobile Data Access, and Collaborative Work Support and Spatio-Temporal Data Management, Singapore, November 19-20, 1998. Proceedings
5. This formula can be used to estimate sample size in any relation with a large number of instances, as it assumes that the number of instances is inﬁnite. 1 Assigning Representations to Individual Attributes Representations To identify the appropriate correlation test for an attribute group pair, we need to know more than just the measurement scale. The measurement scales are subdivided into a set of representations, which captures this additional information. We are not aware of any correlation test which exploits zero value information to measure a relationship.
The DSK(T) method and the DSK(ST) method are explained in sections 3 and 4. Qualitative comparisons among the DSK method, the DSK(S) method, the DSK(T) method, and the DSK(ST) method are presented in section 5. Section 6 is the conclusion of this paper. 2 An Example For the purpose of explanation, let us suppose an imaginary case where we have the medical records for the last one thousand years of all the people in Japan who suﬀered or are suﬀering from at least a kind of allergies. A one thousand year period is supposed because we need medical records that cover many generations to act as a good example.
3-6, 1991. L. sg Abstract. , association rule discovery algorithms, functional dependency discovery algorithms, and correlation tests). Of these algorithms, only the correlation tests discover relationships using the measurement scales of attribute groups. Measurement scales determine whether order or distance information should be considered in the relationship discovery process. Order and distance information limits the possible forms a legitimate relationship between two attribute groups can have.
Advances in Database Technologies: ER ’98 Workshops on Data Warehousing and Data Mining, Mobile Data Access, and Collaborative Work Support and Spatio-Temporal Data Management, Singapore, November 19-20, 1998. Proceedings by Noureddine Mouaddib, Guillaume Raschia (auth.), Yahiko Kambayashi, Dik-Lun Lee, Ee-peng Lim, Mukesh Mohania, Yoshifumi Masunaga (eds.)