Knowledge Discovery in Multiple Databases

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Takashi Washio ... [et al.] (eds

"This book constitutes the refereed proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008, held in Osaka, Japan, in May 2008." "The 37 revised long papers, 40 revised full papers, and 36 revised short papers presented together with 1 keynote talk and 4 invited lectures were carefully reviewed and selected from 312 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems."--Jacket.

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Jeffrey D. Ullman

1. The material on optimization has been expanded, by including a discussion of the System R approach to optimization, tableau-based methods, and optimization in the distributed environment. 2. There is a discussion of universal relation systems, which are relational database systems that support a user view that looks like a single relation. 3. Concurrency control by "optimistic," or timestamp-based methods has been introduced. 4. Distributed systems are covered, both for optimization issues and concurrency control. 5. A discussion of data structures for range queries appears. 6. There is an introduction to generalized dependencies and their inference. The second edition was prepared using Don Knuth's TEX typesetting system.

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Matthew MacDonald

"Go from Access novice to true master with the professional database design tips and crystal-clear explanations in this book. You'll learn all the secrets of this powerful database program so you can use your data in creative ways--from creating product catalogs and publishing information online to producing invoices and reports"--Cover, p. 4.

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Stephanie Cammarata ... [et al

This report describes the RAND Metadata Management System (RMMS), a system that manages metadata--definitional and descriptional information about databases, simulation models, and procedures--for relational databases such as those maintained in INGRES. Many of these databases have little documentation or other descriptional information to accompany them, making it difficult for users to understand the definitions, abbreviations, acronyms, and descriptions of the data elements stored and maintained in a database management system. The authors developed the RMMS with five major goals in mind: (1) provide complete, thorough, and standard database documentation; (2) record and manage information about different versions of each database; (3) maintain a history of the changes made to database tables, schema, or data values; (4) facilitate deriving databases for input to simulation models and for sharing among models; and (5) standardize the names of data elements that are conceptually the same but named differently or are named the same but are conceptually different. This report should be of help to users of other relational databases who would like to develop a similar metadata repository for their own set of databases.