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Data Deduplication Approaches

data storage. Duplicated data or redundant data is a main challenge in the field of data science research. Data Deduplication Approaches;

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Data Deduplication for High Performance Storage System

This book comprehensively introduces data deduplication technologies for storage systems. It first presents the overview of data;

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Freebsd Mastery

enhance performance determine if deduplication is right for your data understand how copy-on-write changes everything snapshot filesystems;

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Data Deduplication for Data Optimization for Storage and Network Systems

This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques;

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Data Cleaning

, outlier detection, data transformation, error repair (including imputing missing values), and data deduplication. Furthermore, due to the;

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Data Cleaning

tasks, namely, outlier detection, data transformation, error repair (including imputing missing values), and data deduplication. Furthermore;

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Nachhaltige IT im Rechenzentrum

wird der sinnvolle Einsatz der Technologien Thin Provisioning und Data-Deduplication bei Storage Systemen diskutiert.Zusätzlich werden;

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Comptia Storage+ Quick Review Guide

infrastructure Storage networking Storage hardware Virtualization Storage management Business continuity Security Design Environment Data;

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Storage Systems

>Conserves storage via data compression, deduplication, compaction, and secures data via encryption Specifies implications of storage;

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Software-Defined Cloud Centers

This practical text/reference provides an exhaustive guide to setting up and sustaining software-defined data centers (SDDCs). Each of the;

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Proteomics Data Analysis

sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel;

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Statistical, Mapping and Digital Approaches in Healthcare

Statistical, Mapping and Digital Approaches in Healthcare addresses all health territories, starting from the analysis of geographical data;

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Practical Longitudinal Data Analysis

This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models;

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Exact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make;

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Data Driven Approaches for Healthcare

, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal;

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Data Driven Approaches for Healthcare

, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal;

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Modern Approaches of Data Mining: Theory and Practice

Our book includes some state-of-the-art classical and non-classical approaches of data mining and given a well-balanced treatment of both;

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CommVault Concepts & Design Strategies

product suite works. It provides detailed explanations on designing and configuring storage policies, deduplication, protecting virtual;

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Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

Learning, and Cost Perceptive Approaches for Resolving Data Imbalance offers new aspects for imbalanced data learning by providing the advancements;

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From Data to Models and Back

grouped in these topical sections: machine learning; simulation-based approaches, and data mining and processing related approaches.;

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Analysis of Repeated Measures

Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions;

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Analysis of Repeated Measures

Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions;

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Tag-based Next Generation Sequencing

approaches, where the focus shifts from 'sequencing power' to better means of data analysis and visualization for common users. Today Next Generation;

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Social Big Data Analytics

state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book;

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Mixed Effects Models for Complex Data

approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews;

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Mixed Effects Models for Complex Data

approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews;

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Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting

This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most;

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