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Advances in Database Technologies: ER ’98 Workshops on Data by Noureddine Mouaddib, Guillaume Raschia (auth.), Yahiko PDF

By Noureddine Mouaddib, Guillaume Raschia (auth.), Yahiko Kambayashi, Dik-Lun Lee, Ee-peng Lim, Mukesh Mohania, Yoshifumi Masunaga (eds.)

ISBN-10: 3540656901

ISBN-13: 9783540656906

This booklet offers 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 publication is split in sections on wisdom discovery, facts mining, facts and internet warehousing, multidimensional databases, information warehouse layout, caching, information dissemination, replication, cellular networks, cellular systems, monitoring and tracking, collaborative paintings help, temporal information modelling, relocating gadgets and spatial indexing, spatio-temporal databases, and video database contents.

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Read Online or Download 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 PDF

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Noureddine Mouaddib, Guillaume Raschia (auth.), Yahiko's Advances in Database Technologies: ER ’98 Workshops on Data PDF

This ebook offers the completely refereed joint post-proceedings of 3 workshops held in the course of the seventeenth overseas convention on Conceptual Modeling, ER '98, in Singapore in November 1998. The 50 revised papers provided have passed through rounds of reviewing and revision. The ebook is split in sections on wisdom discovery, facts mining, facts and net warehousing, multidimensional databases, info warehouse layout, caching, facts dissemination, replication, cellular networks, cellular systems, monitoring and tracking, collaborative paintings aid, temporal information modelling, relocating items and spatial indexing, spatio-temporal databases, and video database contents.

Additional info 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

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15 7. Y. Cai, N. Cercone, and J. Han, “Attribute-Oriented Induction in Relational Databases,” in Knowledge Discovery in Databases, G. Piatetsky-Shapiro and W. J. ), AAAI Press/The MIT Press, pp. 213-228, 1991. 28 8. U. M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, “From Data Mining to Knowledge Discovery: An Overview,” in Advances in Knowledge Discovery and Data Mining, U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. ), AAAI Press / The MIT Press, pp. 1-34, 1996. 15 9. W. J. Frawley, G. Piatetsky-Shapiro, and C.

Distinct tuples can be obtained by avoiding deduction result selected previously. If this does not work, select a new t. 5. Generalize relation Q according to the set of attribute thresholds, the table threshold and the set of concept hierarchies provided. 6. Present the generalized relation as a set of characteristic rules with two additional attributes, Count and Percentage. Like the DSK method, we have the following theorem: Theorem 1 The distribution of a sample obtained by the DSK(T) method from deduction results D is the same as the distribution of a sample obtained by random sampling from D.

A set of heuristic rules are then applied to the attribute to identify which of the possible representations is the correct one. Many of these heuristic rules have been adapted from rules used in SNOUT [15] to identify measurement scales from survey data. Table 2. Initially Generated Hypotheses Type Integer Decimal String Date SAN SAD Ordinal Categorical Dichotomous √ √ √ √ √ √ √ √ √ √ √ √ √ The heuristic rules are listed below. Each heuristic rule uses more information to determine the correct representation than the previous rule.

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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.)


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