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Introduction to Database Systems
The purpose of this note is to give students about an understanding of what database systems are, why we use them, how to use common database systems efficiently and how database systems work internally. Also teaches about variety of data management tasks and different approaches to them.
Author(s): University of California at Berkeley
NA Pages
This note covers the following topics: Introduction, inductive learning, Decision trees, Rule induction, Instance-based learning, Bayesian learning, Neural networks, Model ensembles, Learning theory, Clustering and dimensionality reduction.
Author(s): Pedro Domingos
NA Pages
Database Systems by Raj Sunderraman
This note covers the following topics: Databases and database users, database system concepts and architecture, relational data model, lab manual, the relational data model and constraints, Relational algebra and calculus, sql, basic sql, JDBC API to access relational databases in java, JDBC API javadoc, sun JDBC, JDBC scrollable resultsets, oracle JDBC drivers for java 6, ER model, enhanced ER model.
Author(s): Dr. Raj Sunderraman
NA Pages
This note covers the following topics: Introduction, inductive learning, Decision trees, Rule induction, Instance-based learning, Bayesian learning, Neural networks, Model ensembles, Learning theory, Clustering and dimensionality reduction.
Author(s): Pedro Domingos
NA Pages
Lecture Notes in Database Systems
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Lecture Notes in Database SystemsMirror1
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Database Template Library (DTL) Programmers Guide
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Concurrency Control and Recovery in Database Systems (P. Bernstein, et al)
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The Relational Data Model, Normalisation and effective Database Design (T. Marston)
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A Simple Guide to Five Normal Forms in Relational Database Theory (W. Kent)
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