Database Management Systems Lecture Notes
Objective of this note is to understand the basic concepts and the applications of database systems, the basics of SQL and construct queries using SQL and explains the relational database design principles.
Author(s): Malla Reddy College Of Engineering and Technology
329 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
Information Modeling (D. Edmond)
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Database Systems and Structures (O.R. Zaane)
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Lecture Notes in Database SystemsMirror1
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Database Template Library (DTL) Programmers Guide
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Representing Trees in a Relational DB
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