Principles of database systems

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Ching-chih Chen, Peter Hernon

The purpose of this book is to provide readers with the fundamentals of numeric databases and draw attention to them, their value, and utility to libraries and information centers. The public needs access to information which does not always appear in print format. Libraries and information centers must be aware of these resources, and recognize that they are essential information sources for a growing number of subjects. Subjects where the use of large sets of statistical data is becoming common are particularly important. This book is aimed at those readers wanting an introduction to many facets of the subject.

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Ramez Elmasri, Shamkant B. Navathe

"This book introduces the fundamental concepts necessary for designing, using, and implementing database systems and database applications. Our presentation stresses the fundamentals of database modeling and design, the languages and models provided by the database management systems, and database system implementation techniques"--Page vii.

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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.

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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.