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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Mining
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Data Mining

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  • Modern Big Data Processing with Hadoop : Expert techniques for architecting end-to-end big data solutions to get valuable insights - Prashant Shindgikar
    Modern Big Data Processing with Hadoop
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    Prashant Shindgikar, Manoj R Patil and V Naresh Kumar
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  • The Model Thinker : What You Need to Know to Make Data Work for You - Scott E. Page
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    Scott E. Page
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  • The Power of People : How Successful Organizations Use Workforce Analytics To Improve Business Performance - Nigel Guenole
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    Nigel Guenole, Jonathan Ferrar and Sheri Feinzig
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  • Data Stewardship for Open Science : Implementing FAIR Principles - Barend Mons
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    Barend Mons
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  • Introduction to Machine Learning with R : Rigorous Mathematical Analysis - Scott V. Burger
    Introduction to Machine Learning with R
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    Scott V. Burger
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  • Feature Engineering for Machine Learning and Data Analytics : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Guozhu Dong and Huan Liu
    Feature Engineering for Machine Learning and Data Analytics
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    Guozhu Dong and Huan Liu
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  • TensorFlow: Powerful Predictive Analytics with TensorFlow : Predict valuable insights of your data with TensorFlow - Md. Rezaul Karim
    TensorFlow: Powerful Predictive Analytics with TensorFlow
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    Md. Rezaul Karim
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  • Mathematical Analysis for Machine Learning and Data Mining - Dan A Simovici
    Mathematical Analysis for Machine Learning and Data Mining
    Dan A Simovici
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  • Smart Technologies in Healthcare - Bruno Bouchard
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    Bruno Bouchard
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  • Big Data in the Arts and Humanities : Theory and Practice - Giovanni Schiuma
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    Giovanni Schiuma and Daniela Carlucci
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  • Fuzzy Sets & their Application to Clustering & Training - Beatrice Lazzerini
    Fuzzy Sets & their Application to Clustering & Training
    Beatrice Lazzerini, Lakhmi C. Jain and D. Dumitrescu
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  • The Human Element of Big Data : Issues, Analytics, and Performance - Geetam S. Tomar
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    Geetam S. Tomar
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  • Python Data Science Essentials : Learn the fundamentals of Data Science with Python - Luca Massaron
    Python Data Science Essentials
    Learn the fundamentals of Data Science with Python
    Luca Massaron and Alberto Boschetti
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  • Marketing Data Science : Modeling Techniques in Predictive Analytics with R and Python - Thomas W. Miller
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  • Digital Exhaust : What Everyone Should Know About Big Data, Digitization and Digitally Driven Innovation - Dale Neef
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    Dale Neef
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  • Machine Learning with Spark : Develop intelligent, distributed machine learning systems - Rajdeep Dua
    Machine Learning with Spark
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    Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath, Brian O'Neill and Stephen Boesch
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  • Python Deep Learning : Next generation techniques to revolutionize computer vision, AI, speech and data analysis - Valentino Zocca
    Python Deep Learning
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    Valentino Zocca, Gianmario Spacagna, Daniel Slater and Peter Roelants
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  • TensorFlow Machine Learning Cookbook : Over 60 practical recipes to help you master Google's TensorFlow machine learning library - Nick McClure
    TensorFlow Machine Learning Cookbook
    Over 60 practical recipes to help you master Go...
    Nick McClure
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  • Deep Learning with Hadoop : Distributed Deep Learning with Large-Scale Data - Dipayan Dev
    Deep Learning with Hadoop
    Distributed Deep Learning with Large-Scale Data
    Dipayan Dev
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  • Learning PySpark : Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 - Tomasz Drabas
    Learning PySpark
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    Tomasz Drabas and Denny Lee
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  • Scala : Guide for Data Science Professionals - Pascal Bugnion
    Scala
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    Pascal Bugnion, Arun Manivannan and Patrick R. Nicolas
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  • Outside Insight : Navigating a World Drowning in Data - Jorn Lyseggen
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    Navigating a World Drowning in Data
    Jorn Lyseggen
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  • Leadership Strategies in the Age of Big Data, Algorithms, and Analytics - Norton Paley
    Leadership Strategies in the Age of Big Data, Algorithms, and Analytics
    Norton Paley
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  • SQL Server 2016 Developer's Guide : Build efficient database applications for your organization with SQL Server 2016 - Dejan Sarka
    SQL Server 2016 Developer's Guide
    Build efficient database applications for your ...
    Dejan Sarka, William Durkin and Milo?° Radivojeviƒá
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  • Learning Apache Spark 2 : A beginner's guide to real-time Big Data processing using the Apache Spark framework - Muhammad Asif Abbasi
    Learning Apache Spark 2
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    Muhammad Asif Abbasi
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  • Mastering Azure Analytics : Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark - Zoiner Tejada
    Mastering Azure Analytics
    Architecting in the Cloud with Azure Data Lake,...
    Zoiner Tejada
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  • Actionable Intelligence in Healthcare : Data Analytics Applications - Jay Liebowitz
    Actionable Intelligence in Healthcare
    Data Analytics Applications
    Jay Liebowitz and Amanda Dawson
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  • Data Mining : A Tutorial-Based Primer, Second Edition - Richard J. Roiger
    Data Mining
    A Tutorial-Based Primer, Second Edition
    Richard J. Roiger
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  • Bioinformatics Database Systems - Kevin Byron
    Bioinformatics Database Systems
    Kevin Byron, Katherine G. Herbert and Jason T. L. Wang
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  • Speed, Data, and Ecosystems : Excelling in a Software-Driven World - Jan Bosch
    Speed, Data, and Ecosystems
    Excelling in a Software-Driven World
    Jan Bosch
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  • Java for Data Science : Examine the techniques and Java tools supporting the growing field of data science - Richard M. Reese
    Java for Data Science
    Examine the techniques and Java tools supportin...
    Richard M. Reese, Jennifer L. Reese and Shilpi Saxena
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  • Thoughtful Machine Learning with Python : A Test-Driven Approach - Matthew Kirk
    Thoughtful Machine Learning with Python
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    Matthew Kirk
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  • Learning Apache Cassandra : Managing fault-tolerant, scalable data with high performance - Sandeep Yarabarla
    Learning Apache Cassandra
    Managing fault-tolerant, scalable data with hig...
    Sandeep Yarabarla and Graham Doman
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  • Scala for Machine Learning : Build systems for data processing, machine learning, and deep learning - Patrick R. Nicolas
    Scala for Machine Learning
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    Patrick R. Nicolas and Mohammed Rafi
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  • Data Analytics Applications in Education : Data Analytics Applications - Author
    Data Analytics Applications in Education
    Data Analytics Applications
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  • Practical Real-time Data Processing and Analytics : Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka - Shilpi Saxena
    Practical Real-time Data Processing and Analytics
    Distributed Computing and Event Processing usin...
    Shilpi Saxena, Saurabh Gupta, Selva raj Ramasamy and Prateek Bhati
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  • RDA Around the World - Marie-France Plassard
    RDA Around the World
    Marie-France Plassard
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  • Enterprise Performance Intelligence and Decision Patterns - Vivek Kale
    Enterprise Performance Intelligence and Decision Patterns
    Vivek Kale
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  • Chemometric Monitoring : Product Quality Assessment, Process Fault Detection, and Applications - Madhusree Kundu
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    Madhusree Kundu, Palash Kumar Kundu and Seshu K. Damarla
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  • PostgreSQL: Up and Running : A Practical Guide to the Advanced Open Source Database - Regina O. Obe
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    Regina O. Obe and Leo S. Hsu
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  • SMACing the Bank : How to Use Social Media, Mobility, Analytics and Cloud Technologies to Transform the Business Processes of Banks and the Banking Experience - Balaji Raghunathan
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    Balaji Raghunathan and Rajashekara Maiya
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  • Machine Learning with TensorFlow 1.x : Second generation machine learning with Google's brainchild - TensorFlow 1.x - Quan Hua
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    Quan Hua, Shams Ul Azeem and Saif Ahmed
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  • Big Data Analytics : Tools and Technology for Effective Planning - Arun K. Somani and Ganesh Chandra Deka
    Big Data Analytics
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    Arun K. Somani and Ganesh Chandra Deka
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  • Process Modeling and Management for Healthcare : Chapman & Hall/CRC Healthcare Informatics Series - Pierangelo Veltri
    Process Modeling and Management for Healthcare
    Chapman & Hall/CRC Healthcare Informatics Series
    Pierangelo Veltri, Giuseppe Pozzi and Carlo Combi
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  • Real Estate Analysis in the Information Age : Techniques for Big Data and Statistical Modeling - Kimberly Winson-Geideman
    Real Estate Analysis in the Information Age
    Techniques for Big Data and Statistical Modeling
    Kimberly Winson-Geideman, Andy Krause, Clifford A. Lipscomb and Nick Evangelopoulos
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  • Pandas for Everyone : Python Data Analysis - Daniel Y. Chen
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    Daniel Y. Chen
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  • Cloud Computing with e-Science Applications - Olivier Terzo
    Cloud Computing with e-Science Applications
    Olivier Terzo and Lorenzo Mossucca
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  • Intelligent Systems : Modeling, Optimization, and Control - Yung C. Shin
    Intelligent Systems
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    Yung C. Shin and Chengying Xu
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  • Making Data Visual : A Practical Guide to Using Visualization for Insight - Danyel Fisher
    Making Data Visual
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    Danyel Fisher and Miriah Meyer
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  • Mastering TensorFlow 1.x : Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras - Armando Fandango
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    Armando Fandango
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  • Spark: The Definitive Guide : Big Data Processing Made Simple - Bill Chambers
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    Bill Chambers and Matei Zaharia
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  • IBM SPSS Modeler Essentials : Effective techniques for building powerful data mining and predictive analytics solutions - Keith McCormick
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    Keith McCormick and Jesus Salcedo
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  • The Billion Dollar Byte : Turn Big Data into Good Profits, the Datapreneur Way - D. Justhy
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  • Data Mining in Time Series and Streaming Databases : Series In Machine Perception And Artificial Intelligence : Book 83 - Mark Last
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  • Predictive Analytics for Marketers : Using Data Mining for Business Advantage - Barry Leventhal
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  • Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society : Computer Science (R0) - Dirk Helbing
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  • Multimedia Data Mining and Analytics : Disruptive Innovation - Jiang Gao
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    Jiang Gao, Jia-Yu Pan, Valery A. Petrushin and Aaron K. Baughman
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  • Materializing the Web of Linked Data : Computer Science (R0) - Nikolaos Konstantinou
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    Nikolaos Konstantinou and Dimitrios-Emmanuel Spanos
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  • Computational Intelligence for Big Data Analysis : Frontier Advances and Applications - D.P. Acharjya
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    D.P. Acharjya
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  • Data Science, Learning by Latent Structures, and Knowledge Discovery : Springer Nature Proceedings excluding Computer Science - Berthold Lausen
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    Berthold Lausen, Sabine Krolak-Schwerdt and Matthias Böhmer
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    Jesus Mena
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  • Graph Databases : New Opportunities for Connected Data - Ian Robinson
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    Ian Robinson, Jim Webber and Emil Eifrem
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  • Machine Learning : An Algorithmic Perspective, Second Edition - Stephen Marsland
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