Data Warehousing and Knowledge Discovery
Yahiko Kambayashi (Editor), Mukesh Mohania (Editor), Wolfram WBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
This book constitutes the refereed proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2004, held in Zaragoza, Spain, in September 2004.
The 40 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers are organized in topical sections on data warehouse design; knowledge discovery framework and XML data mining, data cubes and queries; multidimensional schema and data aggregation; inductive databases and temporal rules; industrial applications; data clustering; data visualization and exploration; data classification, extraction, and interpretation; data semantics, association rule mining; event sequence mining; and pattern mining.
Synopsis
This book constitutes the refereed proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2000, held in London, UK in September 2000. The 31 revised full papers presented together with 11 short papers were carefully reviewed and selected from a total of more than 90 submissions. The papers are organized in topical sections on data warehouse design, materialized views, warehouse data creation and maintenance, warehouse views selection and evolution, OLAP system design and query association rules, temporal association rules, and mining complex databases.