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  • Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition : Database & ERP - OMG - Brian Larson
    Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition
    Database & ERP - OMG
    Brian Larson
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  • Software-Defined Data Infrastructure Essentials : Cloud, Converged, and Virtual Fundamental Server Storage I/O Tradecraft - Greg Schulz
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    Greg Schulz
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  • The Human Element of Big Data : Issues, Analytics, and Performance - Ganesh Chandra Deka
    The Human Element of Big Data
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    Ganesh Chandra Deka, Robin Singh Bhadoria, Narendra S. Chaudhari and Geetam S. Tomar
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    Balaji Raghunathan and Rajashekara Maiya
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    Itzik Ben-Gan
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  • A First Course in Machine Learning : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Simon Rogers
    A First Course in Machine Learning
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    Simon Rogers and Mark Girolami
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    Data Science and Complex Networks
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    Alberto Ferrari and Marco Russo
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    Music Data Analysis
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  • FT Press Analytics : Learn How Successful Organizations Use Workforce Analytics To Improve Business Performance - Jonathan Ferrar
    FT Press Analytics
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    Jonathan Ferrar, Sheri Feinzig and Nigel Guenole
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    Microsoft SQL Server 2016 Reporting Services, Fifth Edition
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    Social Network Analysis
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    Jar-Der Luo, Xiaoming Fu and Margarete Boos
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  • Network Coding & Data Compression : Theory, Applications & Challenges - Maryann Simmons
    Network Coding & Data Compression
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    Kees Boersma and Chiara Fonio
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  • Principles of Information Systems : 13th edition - Ralph M. Stair
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  • Exploratory Data Analysis with MATLAB : Chapman & Hall/CRC Computer Science & Data Analysis - Angel R. Martinez
    Exploratory Data Analysis with MATLAB
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    Angel R. Martinez, Wendy L. Martinez and Jeffrey Solka
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  • Artificial Intelligence With Uncertainty - Deyi Li
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    Deyi Li and Yi Du
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  • Statistical Learning for Big Dependent Data : Wiley Series in Probability and Statistics - Daniel Peña
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    Advances in Shipping Data Analysis and Modeling
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  • Refining the Concept of Scientific Inference When Working with Big Data : Proceedings of a Workshop - Board on Mathematical Sciences and Their Applications
    Refining the Concept of Scientific Inference When Working with Big Data
    Proceedings of a Workshop
    Board on Mathematical Sciences and Their Applications, Engineering, and Medicine National Academies of Sciences, Division on Engineering and Physical Sciences and Committee on Applied and Theoretical Statistics
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    Basic Environmental Data Analysis for Scientists and Engineers
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  • Chapman & Hall/CRC the R : Knowledge Discovery Using R - Graham J. Williams
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  • Process Modeling and Management for Healthcare : Chapman & Hall/CRC Healthcare Informatics Series - Carlo Combi
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    Carlo Combi, Pierangelo Veltri and Giuseppe Pozzi
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  • Big Data Analytics Using Multiple Criteria Decision-making Models : Operations Research Series - A. Ravi Ravindran
    Big Data Analytics Using Multiple Criteria Decision-making Models
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    A. Ravi Ravindran, Ramakrishnan Ramanathan and Muthu Mathirajan
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  • An Introduction to Description Logic - Franz Baader
    An Introduction to Description Logic
    Franz Baader, Ian Horrocks, Carsten Lutz and Uli Sattler
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    Successful Enquiry Answering Every Time
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    Exam Ref 70-764 Administering a SQL Database Infrastructure
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  • Dynamic Vulnerability Assessment and Intelligent Control : For Sustainable Power Systems - José Luis Rueda-Torres
    Dynamic Vulnerability Assessment and Intelligent Control
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    José Luis Rueda-Torres and Francisco González-Longatt
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    The Data Science Design Manual
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    Microcomputers in Property
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  • From Internet of Things to Smart Cities : Enabling Technologies - Bashar I. Ahmad
    From Internet of Things to Smart Cities
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  • Big Data and Analytics Applications in Government : Current Practices and Future Opportunities - Gregory Richards
    Big Data and Analytics Applications in Government
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    Intelligent Systems for Stability Assessment and Control of Smart Power Grids
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    Networks of the Future
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