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

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  • Soft Computing and its Engineering Applications : Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10-11, 2021, Revised Selected Papers - Kanubhai K. Patel
    Soft Computing and its Engineering Applications
    Third International Conference, icSoftComp 2021...
    Kanubhai K. Patel, Gayatri Doctor, Atul Patel and Pawan Lingras
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  • Informed Urban Environments : Data-Integrated Design for Human and Ecology-Centred Perspectives - Ata Chokhachian
    Informed Urban Environments
    Data-Integrated Design for Human and Ecology-Ce...
    Ata Chokhachian, Michael U. Hensel and Katia Perini
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  • Advances in Knowledge Discovery and Data Mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III - João Gama
    Advances in Knowledge Discovery and Data Mining
    26th Pacific-Asia Conference, PAKDD 2022, Cheng...
    João Gama, Tianrui Li, Yang Yu, Enhong Chen and Fei Teng
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  • Data Classification and Incremental Clustering in Data Mining and Machine Learning : Engineering (R0) - Sanjay Chakraborty
    Data Classification and Incremental Clustering in Data Mining and Machine Learning
    Engineering (R0)
    Sanjay Chakraborty, Sk Hafizul Islam and Debabrata Samanta
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  • Business Intelligence : 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022, Proceedings - Mohamed Fakir
    Business Intelligence
    7th International Conference, CBI 2022, Khourib...
    Mohamed Fakir, Mohamed Baslam and Rachid El Ayachi
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  • Functional Aesthetics for Data Visualization - Vidya Setlur
    Functional Aesthetics for Data Visualization
    Vidya Setlur and Bridget Cogley
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  • Computer Science - CACIC 2021 : 27th Argentine Congress, CACIC 2021, Salta, Argentina, October 4-8, 2021, Revised Selected Papers - Patricia Pesado
    Computer Science - CACIC 2021
    27th Argentine Congress, CACIC 2021, Salta, Arg...
    Patricia Pesado and Gustavo Gil
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  • Australian Stories
  • Epidemic Analytics for Decision Supports in COVID19 Crisis : Engineering (R0) - Joao Alexandre Lobo Marques
    Epidemic Analytics for Decision Supports in COVID19 Crisis
    Engineering (R0)
    Joao Alexandre Lobo Marques and Simon James Fong
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  • Provenance Data in Social Media - Geoffrey Barbier
    Provenance Data in Social Media
    Geoffrey Barbier, Zhuo Feng, Pritam Gundecha and Huan Liu
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  • The Reaction Wheel Pendulum - Daniel J. Block
    The Reaction Wheel Pendulum
    Daniel J. Block, Karl J. Åström and Mark W. Spong
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  • Mobile Robotics for Multidisciplinary Study - Carolotta Berry
    Mobile Robotics for Multidisciplinary Study
    Carolotta Berry
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  • Multidimensional Mining of Massive Text Data - Chao Zhang
    Multidimensional Mining of Massive Text Data
    Chao Zhang and Jiawei Han
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  • Control Systems Synthesis : A Factorization Approach, Part II - Mathukumalli Vidyasagar
    Control Systems Synthesis
    A Factorization Approach, Part II
    Mathukumalli Vidyasagar
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  • Diversity in Visualization - Ron Metoyer
    Diversity in Visualization
    Ron Metoyer and Kelly Gaither
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  • Control Systems Synthesis : A Factorization Approach, Part I - Mathukumalli Vidyasagar
    Control Systems Synthesis
    A Factorization Approach, Part I
    Mathukumalli Vidyasagar
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  • Adaptive and Personalized Visualization - Alvitta Ottley
    Adaptive and Personalized Visualization
    Alvitta Ottley
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  • External Labeling : Fundamental Concepts and Algorithmic Techniques - Michael A. Bekos
    External Labeling
    Fundamental Concepts and Algorithmic Techniques
    Michael A. Bekos, Benjamin Niedermann and Martin Nöllenburg
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  • Exploratory Causal Analysis with Time Series Data - James M. McCracken
    Exploratory Causal Analysis with Time Series Data
    James M. McCracken
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  • Mining Human Mobility in Location-Based Social Networks - Huiji Gao
    Mining Human Mobility in Location-Based Social Networks
    Huiji Gao and Huan Liu
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  • Feedback Control Systems : The MATLAB®/Simulink® Approach - Farzin Asadi
    Feedback Control Systems
    The MATLAB®/Simulink® Approach
    Farzin Asadi, Robert E. Bolanos and Jorge Rodríguez
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  • State-Space Control Systems : The MATLAB®/Simulink® Approach - Farzin Asadi
    State-Space Control Systems
    The MATLAB®/Simulink® Approach
    Farzin Asadi
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  • Data Representations, Transformations, and Statistics for Visual Reasoning - Ross Maciejewski
    Data Representations, Transformations, and Statistics for Visual Reasoning
    Ross Maciejewski
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  • Data through Movement : Designing Embodied Human-Data Interaction for Informal Learning - Francesco Cafaro
    Data through Movement
    Designing Embodied Human-Data Interaction for I...
    Francesco Cafaro and Jessica Roberts
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  • Interaction for Visualization - Christian Tominski
    Interaction for Visualization
    Christian Tominski
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  • A Guide to Visual Multi-Level Interface Design From Synthesis of Empirical Study Evidence - Heidi Lam
    A Guide to Visual Multi-Level Interface Design From Synthesis of Empirical Study Evidence
    Heidi Lam and Tamara Munzner
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  • Ensemble Methods in Data Mining : Improving Accuracy Through Combining Predictions - Giovanni Seni
    Ensemble Methods in Data Mining
    Improving Accuracy Through Combining Predictions
    Giovanni Seni and John Elder
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  • Community detection and mining in social media - Lei Tang
    Community detection and mining in social media
    Lei Tang and Huan Liu
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  • Interactive GPU-based Visualization of Large Dynamic Particle Data - Martin Falk
    Interactive GPU-based Visualization of Large Dynamic Particle Data
    Martin Falk, Sebastian Grottel, Michael Krone and Guido Reina
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  • Design of Visualizations for Human-Information Interaction : A Pattern-Based Framework - Kamran Sedig
    Design of Visualizations for Human-Information Interaction
    A Pattern-Based Framework
    Kamran Sedig and Paul Parsons
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  • Image-Based Visualization : Interactive Multidimensional Data Exploration - Christophe Hurter
    Image-Based Visualization
    Interactive Multidimensional Data Exploration
    Christophe Hurter
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  • Semantic Interaction for Visual Analytics : Inferring Analytical Reasoning for Model Steering - Alex Endert
    Semantic Interaction for Visual Analytics
    Inferring Analytical Reasoning for Model Steering
    Alex Endert
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  • Exploiting the Power of Group Differences : Using Patterns to Solve Data Analysis Problems - Guozhu Dong
    Exploiting the Power of Group Differences
    Using Patterns to Solve Data Analysis Problems
    Guozhu Dong
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  • Detecting Fake News on Social Media - Kai Shu
    Detecting Fake News on Social Media
    Kai Shu and Huan Liu
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  • Mining Structures of Factual Knowledge from Text : An Effort-Light Approach - Xiang Ren
    Mining Structures of Factual Knowledge from Text
    An Effort-Light Approach
    Xiang Ren and Jiawei Han
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  • Outlier Detection for Temporal Data - Manish Gupta
    Outlier Detection for Temporal Data
    Manish Gupta, Jing Gao, Charu Aggarwal and Jiawei Han
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  • Mining Latent Entity Structures - Chi Wang
    Mining Latent Entity Structures
    Chi Wang and Jiawei Han
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  • Probabilistic Approaches to Recommendations - Nicola Barbieri
    Probabilistic Approaches to Recommendations
    Nicola Barbieri, Giuseppe Manco and Ettore Ritacco
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  • Mining Heterogeneous Information Networks : Principles and Methodologies - Yizhou Sun
    Mining Heterogeneous Information Networks
    Principles and Methodologies
    Yizhou Sun and Jiawei Han
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  • Visual Analysis of Multilayer Networks - Fintan McGee
    Visual Analysis of Multilayer Networks
    Fintan McGee, Benjamin Renoust, Daniel Archambault, Mohammad Ghoniem and Bruno Pinaud
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  • Phrase Mining from Massive Text and Its Applications - Jialu Liu
    Phrase Mining from Massive Text and Its Applications
    Jialu Liu, Jingbo Shang and Jiawei Han
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    $54.99
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  • Modeling and Data Mining in Blogosphere - Nitin Agarwal
    Modeling and Data Mining in Blogosphere
    Nitin Agarwal and Huan Liu
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    $44.99
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  • Individual and Collective Graph Mining : Principles, Algorithms, and Applications - Danai Koutra
    Individual and Collective Graph Mining
    Principles, Algorithms, and Applications
    Danai Koutra and Christos Faloutsos
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  • Graph Mining : Laws, Tools, and Case Studies - Deepayan Chakrabarti
    Graph Mining
    Laws, Tools, and Case Studies
    Deepayan Chakrabarti and Christos Faloutsos
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  • Privacy in Social Networks - Elena Zheleva
    Privacy in Social Networks
    Elena Zheleva, Evimaria Terzi and Lise Getoor
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  • Correlation Clustering - Francesco Bonchi
    Correlation Clustering
    Francesco Bonchi, David García-Soriano and Francesco Gullo
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  • Data Science : A First Introduction - Tiffany Timbers
    Data Science
    A First Introduction
    Tiffany Timbers, Trevor Campbell and Melissa Lee
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  • Discovering Computer Science : Interdisciplinary Problems, Principles, and Python Programming - Jessen Havill
    Discovering Computer Science
    Interdisciplinary Problems, Principles, and Pyt...
    Jessen Havill
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    $181.75
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  • Artificial Intelligence Technologies for Computational Biology - Ranjeet Kumar Rout
    Artificial Intelligence Technologies for Computational Biology
    Ranjeet Kumar Rout, Saiyed Umer, Sabha Sheikh and Amrit Lal Sangal
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  • Applied Data Analytics - Principles and Applications - Johnson I. Agbinya
    Applied Data Analytics - Principles and Applications
    Johnson I. Agbinya
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  • Big Data Analytics : Digital Marketing and Decision-Making - Kiran Chaudhary
    Big Data Analytics
    Digital Marketing and Decision-Making
    Kiran Chaudhary and Mansaf Alam
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  • Murach's R for Data Analysis - Scott McCoy
    Murach's R for Data Analysis
    Scott McCoy
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  • Machine Learning : Theory and Practice - Jugal Kalita
    Machine Learning
    Theory and Practice
    Jugal Kalita
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  • Graph Neural Networks : Foundations, Frontiers, and Applications
    Graph Neural Networks
    Foundations, Frontiers, and Applications
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  • Big Data Analytics in Oncology with R - Atanu Bhattacharjee
    Big Data Analytics in Oncology with R
    Atanu Bhattacharjee
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  • How to Think about Data Science : Chapman & Hall/CRC Data Science Series - Diego Miranda-Saavedra
    How to Think about Data Science
    Chapman & Hall/CRC Data Science Series
    Diego Miranda-Saavedra
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  • Multi-Fractal Traffic and Anomaly Detection in Computer Communications - Ming Li
    Multi-Fractal Traffic and Anomaly Detection in Computer Communications
    Ming Li
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  • Knowledge Integration Methods for Probabilistic Knowledge-based Systems - Van Tham Nguyen
    Knowledge Integration Methods for Probabilistic Knowledge-based Systems
    Van Tham Nguyen, Ngoc Thanh Nguyen and Trong Hieu Tran
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  • Streaming Linked Data : From Vision to Practice - Riccardo Tommasini
    Streaming Linked Data
    From Vision to Practice
    Riccardo Tommasini, Pieter Bonte, Fabiano Spiga and Emanuele Della Valle
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  • Performance, Reliability, and Availability Evaluation of Computational Systems, Volume 2 : Reliability, Availability Modeling, Measuring, and Data Analysis - Paulo Romero Martins Maciel
    Performance, Reliability, and Availability Evaluation of Computational Systems, Volume 2
    Reliability, Availability Modeling, Measuring, ...
    Paulo Romero Martins Maciel
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  • Learning Ray : Flexible Distributed Python for Machine Learning - Max Pumperla
    Learning Ray
    Flexible Distributed Python for Machine Learning
    Max Pumperla, Edward Oakes and Richard Liaw
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  • Geographic Data Science with R : Visualizing and Analyzing Environmental Change - Michael C. Wimberly
    Geographic Data Science with R
    Visualizing and Analyzing Environmental Change
    Michael C. Wimberly
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  • Soft Computing for Smart Environments : Techniques and Applications - Mohamed Abdel-Basset
    Soft Computing for Smart Environments
    Techniques and Applications
    Mohamed Abdel-Basset, Abduallah Gamal and Ripon Chakrabortty
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  • Information Retrieval : 28th China Conference, CCIR 2022, Chongqing, China, September 16-18, 2022, Revised Selected Papers - Yi Chang
    Information Retrieval
    28th China Conference, CCIR 2022, Chongqing, Ch...
    Yi Chang and Xiaofei Zhu
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  • Social Vulnerability to COVID-19 : Impacts of Technology Adoption and Information Behavior - Xiaojun Yuan
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    Xiaojun Yuan, Dan Wu and DeeDee Bennett Gayle
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  • Federated Learning for IoT Applications : Intelligent Technologies and Robotics (R0) - Satya Prakash Yadav
    Federated Learning for IoT Applications
    Intelligent Technologies and Robotics (R0)
    Satya Prakash Yadav, Bhoopesh Singh Bhati, Dharmendra Prasad Mahato and Sachin Kumar
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  • Proceedings of International Conference on Data Science and Applications : ICDSA 2022, Volume 2 - Mukesh Saraswat
    Proceedings of International Conference on Data Science and Applications
    ICDSA 2022, Volume 2
    Mukesh Saraswat, Chandreyee Chowdhury, Chintan Kumar Mandal and Amir H. Gandomi
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  • Pandas for Everyone : Python Data Analysis - Daniel Y. Chen
    Pandas for Everyone
    Python Data Analysis
    Daniel Y. Chen
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  • Forecasting Time Series Data with Prophet : Build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool - Greg Rafferty
    Forecasting Time Series Data with Prophet
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    Greg Rafferty
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  • Clinical Decision Support and Beyond : Progress and Opportunities in Knowledge-Enhanced Health and Healthcare - Robert Greenes
    Clinical Decision Support and Beyond
    Progress and Opportunities in Knowledge-Enhance...
    Robert Greenes and Guilherme Del Fiol
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  • Mathematical Marvels with Wolfram Mathematica - A. Scholtens
    Mathematical Marvels with Wolfram Mathematica
    A. Scholtens
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  • Foundations of Semantic Web Technologies - Pascal Hitzler
    Foundations of Semantic Web Technologies
    Pascal Hitzler, Markus Krotzsch and Sebastian Rudolph
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  • Web 2.0 and Beyond : Principles and Technologies - Paul Anderson
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    Paul Anderson
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  • Customer and Business Analytics : Applied Data Mining for Business Decision Making Using R - Daniel S. Putler
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    Daniel S. Putler and Robert E. Krider
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  • Getting Started with Business Analytics : Insightful Decision-Making - David Roi Hardoon
    Getting Started with Business Analytics
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    David Roi Hardoon and Galit Shmueli
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  • Data Mining : Theories, Algorithms, and Examples - Nong Ye
    Data Mining
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    Nong Ye
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  • Applied Data Mining - Guandong Xu
    Applied Data Mining
    Guandong Xu, Yu Zong and Zhenglu Yang
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  • Artificial Intelligence and Soft Computing : 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II - Leszek Rutkowski
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    21st International Conference, ICAISC 2022, Zak...
    Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz and Jacek M. Zurada
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  • Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions : Engineering (R0) - Sarvesh Pandey
    Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
    Engineering (R0)
    Sarvesh Pandey, Udai Shanker, Vijayalakshmi Saravanan and Rajinikumar Ramalingam
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  • Digitizing Talent : Creative Strategies for the Digital Recruiting Age - Jessica Miller-Merrell
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    Jessica Miller-Merrell
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  • The Hidden Game of Football : A Revolutionary Approach to the Game and Its Statistics - Bob Carroll
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    Bob Carroll, Pete Palmer and John Thorn
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