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Hierarchical Data in RDBMS

Relational databases are not well suited for representing and processing hierarchical data. Clever schemes are required to represent trees;

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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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Cassandra Design Patterns -

* Explore design patterns which co-exist with legacy data stores, migration from RDBMS, and caching technologies with Cassandra * Learn about;

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Fuzzy Approach to Hierarchical Clustering

In this book we tried to extend the possibilities of hierarchical clustering methods to manipulate with fuzzy data both during preparing;

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Microsoft SQL Server 2012 with Hadoop

SQL Server 2012 business intelligence and data analytics. A basic understanding of traditional RDBMS technologies and query processing;

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Data Warehouse Designs

management systems (RDBMS) Explains how to extract, transform, and load data used in MBA and Time Variant solutions The book uses standard RDBMS;

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Data Warehouse Designs

management systems (RDBMS) Explains how to extract, transform, and load data used in MBA and Time Variant solutions The book uses standard RDBMS;

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Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected;

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Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and;

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Bayesian Hierarchical Models

of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics;

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Bayesian Hierarchical Models

Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags;

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Data Mining with Microsoft SQL Server 2000 Technical Reference

of the data-mining services in this RDBMS. This is the only Microsoft-approved technical guide to the data mining services in SQL Server 2000.;

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Nanoindentation of Natural Materials

Nanoindentation of Natural Materials: Hierarchical and Functionally Graded Microstructures provides a systematic introduction and review;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Hierarchical Feature Selection for Knowledge Discovery

discusses the hierarchical feature selection in depth, which is generally a novel research area in Data Mining/Machine Learning. Seven different;

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Spring Data: The Definitive Guide

you'll discover how to use Spring Data's improved JPA and JDBC support to increase your productivity when writing RDBMS-based data access layers;

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Graph Databases in Action

with rich relationships. Unlike in relational database management systems (RDBMS), where a more rigid view of data connections results in the;

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Hierarchical Modeling and Analysis for Spatial Data

, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflects the major growth in spatial statistics as both a research area and an area;

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Hierarchical Modeling and Inference in Ecology

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

"Data Analysis Using Regression and MultilevelHierarchical Models is a comprehensive manual for the applied researcher who wants to;

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Multilevel Analysis

for all models for hierarchical or nested data. This book presents two types of multilevel models: the multilevel regression model; and a;

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Bayesian Disease Mapping

Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling;

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The Data Distribution in Peer to Peer Networks

includes the hierarchical approach for data distribution. and discuss what do you mean by static and dynamic databases. how we can change the data;

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