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The contents include: What is DBMS, The relational data model, Entity-Relationship (E/R)modelling, Relational algebra and relational calculus, SQL, Case Study - Cancer registry for the NHS –challenges, Schema refinement I, Schema refinement II, Schema refinement III and advanced design,On-line Analytical Processing (OLAP), Case Study - Cancer registry for the NHS -Experiences, XML as a data exchange format.
Author(s): Ken Moody, Computer Laboratory, University of Cambridge,UK
88 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 and Structures (O.R. Zaane)
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Lecture Notes in Database Systems
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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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A Simple Guide to Five Normal Forms in Relational Database Theory (W. Kent)
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Foundations of Object Relational Mapping
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Introduction to Databases for Web Developers
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