Advances in Database Technologies (eBook, PDF)

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
Redaktion: Kambayashi, Yahiko; Masunaga, Yoshifumi; Mohania, Mukesh Kumar; Lim, Ee-Peng; Lee, Dik Lun

• Format: PDF

Produktbeschreibung

This book presents the thoroughly refereed joint post-proceedings of three workshops held during the 17th International Conference on Conceptual Modeling, ER '98, in Singapore in November 1998.The 50 revised papers presented have gone through two rounds of reviewing and revision. The book is divided in sections on knowledge discovery, data mining, data and web warehousing, multidimensional databases, data warehouse design, caching, data dissemination, replication, mobile networks, mobile platforms, tracking and monitoring, collaborative work support, temporal data modelling, moving objects and spatial indexing, spatio-temporal databases, and video database contents.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 600
• Erscheinungstermin: 30. Januar 2004
• Englisch
• ISBN-13: 9783540491217
• Artikelnr.: 53148643

Inhaltsangabe

1: Data Warehousing and Data Mining.- A Fuzzy Attribute-Oriented Induction Method for Knowledge Discovery in Relational Databases.- Fast Methods with Magic Sampling for Knowledge Discovery in Deductive Databases with Large Deduction Results.- A Heuristic Method for Correlating Attribute Group Pairs in Data Mining.- Incremental Meta-mining from Large Temporal Data Sets.- On the Suitability of Genetic-Based Algorithms for Data Mining.- Data Visualization in a Web Warehouse.- Recent Advances and Research Problems in Data Warehousing.- Web Warehousing: Design and Issues.- Extending the E/R Model for the Multidimensional Paradigm.- Numerical Aspects in the Data Model of Conceptual Information Systems.- Nested Data Cubes for OLAP.