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

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  • Uncertainty Modeling for Data Mining : A Label Semantics Approach - Zengchang Qin
    Uncertainty Modeling for Data Mining
    A Label Semantics Approach
    Zengchang Qin and Yongchuan Tang
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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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  • Learning Apache Cassandra - Second Edition : Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra - Sandeep Yarabarla
    Learning Apache Cassandra - Second Edition
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    Sandeep Yarabarla
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  • Machine Learning with Spark - Second Edition : Create scalable machine learning applications to power a modern data-driven business using Spark 2.x - Rajdeep Dua
    Machine Learning with Spark - Second Edition
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    Rajdeep Dua, Manpreet Singh Ghotra and Nick Pentreath
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  • Python Deep Learning : Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. - Valentino Zocca
    Python Deep Learning
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    Valentino Zocca, Gianmario Spacagna, Daniel Slater and Peter Roelants
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  • SQL Server 2017 Integration Services Cookbook : Harness the power of SQL Server 2017 Integration Services to build your data integration solutions with ease - Christian Cote
    SQL Server 2017 Integration Services Cookbook
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    Christian Cote, Matija Lah and Dejan Sarka
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  • Frank Kane's Taming Big Data with Apache Spark and Python : Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. - Frank Kane
    Frank Kane's Taming Big Data with Apache Spark and Python
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    Frank Kane
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  • Java : Data Science Made Easy - Richard M. Reese
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    Richard M. Reese
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  • Statistical and Machine-Learning Data Mining: : Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition - Bruce Ratner
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    Bruce Ratner
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  • Fundamentals of Deep Learning : Designing Next-Generation Machine Intelligence Algorithms - Nikhil Buduma
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    Nikhil Buduma and Nicholas Locascio
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  • Learning Social Media Analytics with R : Tap into the realm of social media and unleash the power of analytics for data-driven insights using R - Raghav Bali
    Learning Social Media Analytics with R
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    Raghav Bali, Dipanjan Sarkar and Tushar Sharma
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  • Hadoop 2.x Administration Cookbook : Over 100 practical recipes to help you become an expert Hadoop administrator - Gurmukh Singh
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    Gurmukh Singh
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  • Python Machine Learning By Example : Take tiny steps to enter the big world of data science through this interesting guide - Yuxi (Hayden) Liu
    Python Machine Learning By Example
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    Yuxi (Hayden) Liu
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  • Mastering Java for Data Science : Use Java to create a diverse range of Data Science applications and bring Data Science into production - Alexey Grigorev
    Mastering Java for Data Science
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    Alexey Grigorev
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  • Python : End-to-end Data Analysis - Phuong Vothihong
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    Phuong Vothihong
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  • SQL Server 2016 Developer's Guide : Get the most out of the rich development capabilities of SQL Server 2016 to build efficient database applications for your organization - Dejan Sarka
    SQL Server 2016 Developer's Guide
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    Dejan Sarka, Milos Radivojevic and William Durkin
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  • Learning Apache Spark 2 : Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics - 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
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    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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  • TensorFlow Machine Learning Cookbook : Explore machine learning concepts using the latest numerical computing library — TensorFlow — with the help of this comprehensive cookbook - Nick McClure
    TensorFlow Machine Learning Cookbook
    Explore machine learning concepts using the lat...
    Nick McClure
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  • Deep Learning with Hadoop : Build, implement and scale distributed deep learning models for large-scale datasets - Dipayan Dev
    Deep Learning with Hadoop
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    Dipayan Dev
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  • OCA Oracle Database SQL Exam Guide (Exam 1Z0-071) : Oracle Press - Steve O'Hearn
    OCA Oracle Database SQL Exam Guide (Exam 1Z0-071)
    Oracle Press
    Steve O'Hearn
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  • Apache Spark 2.x for Java Developers : Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java - Sumit Kumar
    Apache Spark 2.x for Java Developers
    Unleash the data processing and analytics capab...
    Sumit Kumar and Sourav Gulati
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  • The 3-D Global Spatial Data Model : Principles and Applications, Second Edition - Earl F. Burkholder
    The 3-D Global Spatial Data Model
    Principles and Applications, Second Edition
    Earl F. Burkholder
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  • The Essentials of Data Science : Knowledge Discovery Using R - Graham J. Williams
    The Essentials of Data Science
    Knowledge Discovery Using R
    Graham J. Williams
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  • Advances in Smart Cities : Smarter People, Governance, and Solutions - Arpan Kumar Kar
    Advances in Smart Cities
    Smarter People, Governance, and Solutions
    Arpan Kumar Kar, M P Gupta, P. Vigneswara Ilavarasan and Yogesh K. Dwivedi
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  • Deep Learning : A Practitioner's Approach - Josh Patterson
    Deep Learning
    A Practitioner's Approach
    Josh Patterson and Adam Gibson
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  • Python Social Media Analytics : Leverage the power of Python to collect, process, and mine deep insights from social media data - Michal Krystyanczuk
    Python Social Media Analytics
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    Michal Krystyanczuk and Siddhartha Chatterjee
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  • The Analytics Process : Strategic and Tactical Steps - Eduardo Rodriguez
    The Analytics Process
    Strategic and Tactical Steps
    Eduardo Rodriguez
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  • Research Analytics : Boosting University Productivity and Competitiveness through Scientometrics - Francisco J. Cantu-Ortiz
    Research Analytics
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    Francisco J. Cantu-Ortiz
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  • Machine Learning for Developers : Your one-stop guide to becoming a Machine Learning expert. - Rodolfo Bonnin
    Machine Learning for Developers
    Your one-stop guide to becoming a Machine Learn...
    Rodolfo Bonnin
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  • Big Data Analytics : Tools and Technology for Effective Planning - Arun K. Somani and Ganesh Chandra Deka
    Big Data Analytics
    Tools and Technology for Effective Planning
    Arun K. Somani and Ganesh Chandra Deka
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  • Machine Learning with TensorFlow 1.x : Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and build deployable solutions. - Quan Hua
    Machine Learning with TensorFlow 1.x
    Tackle common commercial machine learning probl...
    Quan Hua, Shams Ul Azeem and Saif Ahmed
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  • Mining Multimedia Documents - Wahiba Ben Abdessalem Karaa
    Mining Multimedia Documents
    Wahiba Ben Abdessalem Karaa and Nilanjan Dey
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  • Scala for Machine Learning - Second Edition : Leverage Scala and Machine Learning to study and construct systems that can learn from data - Patrick R. Nicolas
    Scala for Machine Learning - Second Edition
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    Patrick R. Nicolas
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  • Data Analytics Applications in Education : Data Analytics Applications - Author
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  • Practical Real-time Data Processing and Analytics : A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario - Shilpi Saxena
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    A practical guide to help you tackle different ...
    Shilpi Saxena and Saurabh Gupta
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  • RDA Around the World - Marie-France Plassard
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    Marie-France Plassard
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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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  • HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) : HBR Guide - Harvard Business Review
    HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)
    HBR Guide
    Harvard Business Review
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  • GMDH-Methodology and Implementation in MATLAB - Godfrey Onwubolu
    GMDH-Methodology and Implementation in MATLAB
    Godfrey Onwubolu
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  • Discovery and Fusion of Uncertain Knowledge in Data : East China Normal University Scientific Reports : Book 6 - Kun Yue
    Discovery and Fusion of Uncertain Knowledge in Data
    East China Normal University Scientific Reports...
    Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao and Ming Gao
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  • Intuition, Trust, and Analytics : Data Analytics Applications - Jay Liebowitz
    Intuition, Trust, and Analytics
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    Jay Liebowitz, Joanna Paliszkiewicz and Jerzy Go?uchowski
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  • Biological Data Mining And Its Applications In Healthcare : Science, Engineering, And Biology Informatics : Book 8 - Xiaoli Li
    Biological Data Mining And Its Applications In Healthcare
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    Xiaoli Li, See-kiong Ng and Jason T L Wang
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  • Data Mining with Decision Trees : Theory and Applications - Oded Z Maimon
    Data Mining with Decision Trees
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    Oded Z Maimon and Lior Rokach
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  • Introduction to Computing Applications in Forestry and Natural Resource Management - Jingxin Wang
    Introduction to Computing Applications in Forestry and Natural Resource Management
    Jingxin Wang
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  • Learning Spark SQL : Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API - Aurobindo Sarkar
    Learning Spark SQL
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    Aurobindo Sarkar
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  • Hands-On Data Science and Python Machine Learning : This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. - Frank Kane
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  • Large-Scale Machine Learning in the Earth Sciences : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Ashok N. Srivastava
    Large-Scale Machine Learning in the Earth Sciences
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    Ashok N. Srivastava, Ramakrishna Nemani and Karsten Steinhaeuser
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  • Hands-On Deep Learning with TensorFlow - Dan Van Boxel
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  • Advanced Analytics with Spark : Patterns for Learning from Data at Scale - Sandy Ryza
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    Sandy Ryza, Uri Laserson, Sean Owen and Josh Wills
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  • Text Mining with R : A Tidy Approach - Julia Silge
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  • Computational Intelligence Applications in Business Intelligence and Big Data Analytics - Vijayan Sugumaran
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    Vijayan Sugumaran, Arun Kumar Sangaiah and Arunkumar Thangavelu
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  • Fast Data Processing Systems with SMACK Stack - Raúl Estrada
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  • Process Modeling and Management for Healthcare : Chapman & Hall/CRC Healthcare Informatics Series - Author
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  • Mathematical Analysis for Machine Learning and Data Mining - Dan A Simovici
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  • Exploratory Data Analysis Using R : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Ronald K. Pearson
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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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  • Introduction to Machine Learning with R : Rigorous Mathematical Analysis - 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
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  • TensorFlow: Powerful Predictive Analytics with TensorFlow : Predict valuable insights of your data with TensorFlow - Md. Rezaul Karim
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  • Big Data in the Arts and Humanities : Theory and Practice - Giovanni Schiuma
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  • SQL Server 2017 Developer's Guide : A professional guide to designing and developing enterprise database applications - William Durkin
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  • Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists - Alice Zheng
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  • China and India Economies : Dual or Dueling?: A World Scientific Reference(In 3 Volumes) - Yuming Lin
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