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Time and Relational Theory

warehouses Users are now faced with temporal data problems, and need solutions Temporal features have recently been incorporated into the SQL;

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Temporal Data & the Relational Model

are firmly rooted in the relational model of data; thus, they represent an evolutionary step, not a revolutionary one, and they will stand the;

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Managing Time in Relational Databases

businesses to develop their own framework for managing temporal data. It discusses the management of uni-temporal and bi-temporal data in relational;

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A Guided Tour of Relational Databases and Beyond

Addressing important extensions of the relational database model, including deductive, temporal, and object-oriented databases, this book;

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Database Modeling and Design

Teorey then looks ahead to the common properties in data modeling and operations shared among the relational model and advanced database;

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Database Modeling Step by Step

contemporary topics, the book opens with relational data modeling and ends with BigData database modeling following a road map of the evolution;

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Temporal Information Processing Technology and Its Applications

applications. The book covers following subjects: 1) time model, calculus and logic; 2) temporal data models, semantics of temporal variable 'now;

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Relational Database Design and Implementation

. Topics such as the relational data model, normalization, data entities, and Codd's Rules (and why they are important) are covered clearly and;

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Spatiotemporal Design

A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling;

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Six-Step Relational Database Design(TM): A step by step approach to relational database design and development Second Edition

reliable and accurate data model of the client's business requirements. This model can then be used to implement the database on any relational;

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Bitemporal Data

theory and the practice of managing bitemporal data. Someone also needs to understand what the future may bring in the way of additional temporal;

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Spring Data: The Definitive Guide

familiar and consistent programming model greatly reduces the learning curve for creating applications with newer data access technologies. And;

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Spatio-temporal Analysis and Optimization of Land Use/Cover Change

incorporates the spatio-temporal correlation and individual effect in one model. By integrating GTWLM and ST-PLM, the GSTLM explores spatio-temporal;

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Spatio-temporal Analysis and Optimization of Land Use/Cover Change

incorporates the spatio-temporal correlation and individual effect in one model. By integrating GTWLM and ST-PLM, the GSTLM explores spatio-temporal;

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Time & Logic

Originally published in 1995 Time and Logic examines understanding and application of temporal logic, presented in computational terms. The;

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Time & Logic

Originally published in 1995 Time and Logic examines understanding and application of temporal logic, presented in computational terms. The;

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Database Management Systems

, Hierarchical and Network Data Models, Normalization, Relational Algebra and Relational Calculus. The architecture of the legacy relational database R;

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Database Management Systems

, Hierarchical and Network Data Models, Normalization, Relational Algebra and Relational Calculus. The architecture of the legacy relational database R;

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Crowdsourcing of Sensor Cloud Services

perspectives, seamlessly turning the raw data into ready to go services. A creative indexing model is developed to capture and manage the spatio;

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Crowdsourcing of Sensor Cloud Services

perspectives, seamlessly turning the raw data into ready to go services. A creative indexing model is developed to capture and manage the spatio;

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Emerging Perspectives in Big Data Warehousing

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are;

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Formal Semantics and Pragmatics for Natural Language Querying

, the Historical Relational Data Model (HRDM) which extends the RDM to include a temporal dimension. Finally the database querying language;

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Formal Semantics and Pragmatics for Natural Language Querying

, the Historical Relational Data Model (HRDM) which extends the RDM to include a temporal dimension. Finally the database querying language;

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Spatio-Temporal Statistics with R

-Temporal Statistics with R provides an accessible introduction to statistical analysis of spatio-temporal data, with hands-on applications of the;

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Outlier Detection for Temporal Data

data. In the past decade, there has been a lot of research on various forms of temporal data including consecutive data snapshots, series;

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Data Modeling Master Class Training Manual

of practical techniques for producing solid relational and dimensional data models. After learning the styles and steps in capturing and modeling;

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Beyond Leadership

This book systematically elaborates Scott Eacott's relational approach to organizational theory in education. Contributing to the;

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