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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Mining
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  • Building Trusted Data Platforms with Azure Databricks and GenAI : A Hands-On Guide to Creating Governed Data Products in a Lakehouse - Manoj Kukreja
    Building Trusted Data Platforms with Azure Databricks and GenAI
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    Manoj Kukreja
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  • Introduction to Topology and Geometry - Ciprian Manolescu
    Introduction to Topology and Geometry
    Ciprian Manolescu
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  • Thoughtful Data : A Guide to Empathy and Equity in Data Communication - Jonathan Schwabish
    Thoughtful Data
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    Jonathan Schwabish and Alice Feng
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  • Serverless ETL and Analytics with AWS Glue : Design scalable data lakes, optimize ETL pipelines, and accelerate analytics on AWS - Noritaka Sekiyama
    Serverless ETL and Analytics with AWS Glue
    Design scalable data lakes, optimize ETL pipeli...
    Noritaka Sekiyama, Albert Quiroga, Tomohiro Tanaka, Subramanya Vajiraya and Ishan Gaur
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  • Financial AI in Practice : In Practice - Taehun Kim
    Financial AI in Practice
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    Taehun Kim
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  • Quantum Machine Learning : Revolutionizing Data Analysis and Optimization - Jaiprakash Narain Dwivedi
    Quantum Machine Learning
    Revolutionizing Data Analysis and Optimization
    Jaiprakash Narain Dwivedi, Parag Shukla, Herat Joshi and Pankaj Tripathi
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  • Advanced Basketball Data Science : With Applications in R - Paola Zuccolotto
    Advanced Basketball Data Science
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    Paola Zuccolotto, Marica Manisera and Marco Sandri
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  • Social Network Analytics : Empowering Data Engineering with Deep Learning and Large Language Models - Pradeep Kumar Roy
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    Pradeep Kumar Roy, Asis Kumar Tripathy, Abhinav Kumar and Yulei Wu
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  • Misclassification in Epidemiology : Mathematics and Statistics (R0) - Tze-San Lee
    Misclassification in Epidemiology
    Mathematics and Statistics (R0)
    Tze-San Lee
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  • Optimizing Decision-Making in Engineering : A Journey Mapping Perspective - Zian Shah Kabir
    Optimizing Decision-Making in Engineering
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    Zian Shah Kabir
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  • Enabling Data : A New Model for Data-Driven Success in Your Organization - David Castro-Gavino
    Enabling Data
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    David Castro-Gavino and Boyan Angelov
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  • Data Architecture for Data Engineers : Practical Approaches to Building Scalable, Efficient Data Solutions with Real-World Applications - Manas Jain
    Data Architecture for Data Engineers
    Practical Approaches to Building Scalable, Effi...
    Manas Jain
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  • Machine Unlearning : Principles, Methods, and Evolving Frontiers - Bitan Misra
    Machine Unlearning
    Principles, Methods, and Evolving Frontiers
    Bitan Misra, Sayan Chakraborty and Nilanjan Dey
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  • Advanced Data Science and Analytics with Python : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Jesús Rogel-Salazar
    Advanced Data Science and Analytics with Python
    Chapman & Hall/CRC Data Mining and Knowledge Di...
    Jesús Rogel-Salazar
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    August 26th Release
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  • Retrieval Augmented Generation, The Foundational Ideas : Principles for architecting reliable and verifiable AI - Ben Auffarth
    Retrieval Augmented Generation, The Foundational Ideas
    Principles for architecting reliable and verifi...
    Ben Auffarth
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    October 27th Release
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  • Explainable Artificial Intelligence and Interpretable Machine Learning in Education : A Researcher's Guide to Data Science - Myint Swe Khine
    Explainable Artificial Intelligence and Interpretable Machine Learning in Education
    A Researcher's Guide to Data Science
    Myint Swe Khine
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    August 18th Release
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  • Artificial Intelligence Methods and Applications Enabling Healthcare 5.0 : Demystifying Technologies for Computational Excellence - Manish Bhardwaj
    Artificial Intelligence Methods and Applications Enabling Healthcare 5.0
    Demystifying Technologies for Computational Exc...
    Manish Bhardwaj
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    September 15th Release
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  • Market Data : A Structural Guide - Dan Solak
    Market Data
    A Structural Guide
    Dan Solak
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    August 25th Release
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  • Practical Data Science Environments with Python and R - Astha Puri
    Practical Data Science Environments with Python and R
    Astha Puri and Rohan Mathur
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  • Data Analysis Techniques and Applications : Engineering (R0) - Luis Carlos Méndez-González
    Data Analysis Techniques and Applications
    Engineering (R0)
    Luis Carlos Méndez-González, Isidro Jesús González-Hernández and Manuel Iván Rodríguez Borbón
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  • Generative AI 2.0 and Data Analytics : Innovations in Intelligent Internet of Everything (IoE) - Adarsh Garg
    Generative AI 2.0 and Data Analytics
    Innovations in Intelligent Internet of Everythi...
    Adarsh Garg, Fadi Al-Turjman and John Walsh
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  • Big Data : Technologies for Business - Christopher Kreider Arben Asllani
    Big Data
    Technologies for Business
    Christopher Kreider Arben Asllani
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  • Multimodal Event Detection on Social Media : Artificial Intelligence (R0) - Zehang Lin
    Multimodal Event Detection on Social Media
    Artificial Intelligence (R0)
    Zehang Lin and Qing Li
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  • Multimedia Information Retrieval : Extracting Information from Multimedia Sources - Matthias Hemmje
    Multimedia Information Retrieval
    Extracting Information from Multimedia Sources
    Matthias Hemmje and Stefan Wagenpfeil
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  • Rethinking Social Science Research : New Methods and Perspectives - Asis Mistry
    Rethinking Social Science Research
    New Methods and Perspectives
    Asis Mistry
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  • Causal Inference with Bayesian Networks : Build Bayesian Networks and Causal Inference Models with R and Python - Yousri El Fattah
    Causal Inference with Bayesian Networks
    Build Bayesian Networks and Causal Inference Mo...
    Yousri El Fattah and Reza Bagheri
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  • Critical Thinking in Data Science with Python : From Observation to Responsible Decision-Making - Mathias Ellmann
    Critical Thinking in Data Science with Python
    From Observation to Responsible Decision-Making
    Mathias Ellmann
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  • Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2026 Workshops and Doctoral Consortium, AI4DF, DMO-FinTech, RAFDA, AMI-PAKDD, EFMxDM and JEN-AI, Hong Kong, China, June 9-12, 2026, Proceedings - Cheng Long
    Trends and Applications in Knowledge Discovery and Data Mining
    PAKDD 2026 Workshops and Doctoral Consortium, A...
    Cheng Long, Jieming Shi, Yuxuan Liang, Xiao Huang and Man Lung Yiu
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  • From Data to Solutions in Data Science with Python : From Problem Definition to Responsible Solutions - Mathias Ellmann
    From Data to Solutions in Data Science with Python
    From Problem Definition to Responsible Solutions
    Mathias Ellmann
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  • LIFE 4.0 : Human Life in the Age of Artificial Intelligence - Ali Soofastaei
    LIFE 4.0
    Human Life in the Age of Artificial Intelligence
    Ali Soofastaei
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part II - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech : 2025 International workshop on Deidentification of Electronic Medical Record Notes (2025 IW-DMRN), Taipei, Taiwan, August 10, 2025, Revised Selected Papers - Jitendra Jonnagaddala
    Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech
    2025 International workshop on Deidentification...
    Jitendra Jonnagaddala, Hong-Jie Dai, Ching-Tai Chen, Yung-Chung Chang and Hui-Hsien Feng
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  • Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers : 27th International Conference, AIED 2026, Seoul, South Korea, June 27 - July 3, 2026, Proceedings, Part II - Emmanuel G. Blanchard
    Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers : 27th International Conference, AIED 2026, Seoul, South Korea, June 27 - July 3, 2026, Proceedings, Part III - Emmanuel G. Blanchard
    Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers : 27th International Conference, AIED 2026, Seoul, South Korea, June 27 - July 3, 2026, Proceedings, Part I - Emmanuel G. Blanchard
    Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Enhancing Healthcare Informatics with Transparent and Explainable AI - Philip Eappen
    Enhancing Healthcare Informatics with Transparent and Explainable AI
    Philip Eappen, Narasimha Rao Vajjhala, Ruiling Guo, Lucy Shinners and Virginia Gunn
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part V - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part IV - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part VI - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part I - Emmanuel G. Blanchard
    Artificial Intelligence in Education
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    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part III - Emmanuel G. Blanchard
    Artificial Intelligence in Education
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    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Multidisciplinary Social Networks Research : 13th International Conference, MISNC 2026, Danang, Vietnam, August 10-12, 2026, Proceedings, Part II - Dario Liberona
    Multidisciplinary Social Networks Research
    13th International Conference, MISNC 2026, Dana...
    Dario Liberona, Luong Vuong Nguyen, I-Hsien Ting and Kai Wang
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  • Foundations of Intelligent Systems : 28th International Symposium, ISMIS 2026, Lyon, France, July 22-24, 2026, Proceedings - Giuseppina Andresini
    Foundations of Intelligent Systems
    28th International Symposium, ISMIS 2026, Lyon,...
    Giuseppina Andresini, Guy De Tré, Engelbert Mephu Nguifo, Mohand-Said Hacid and Zbigniew W. Ras
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  • Data Mining and Information Security : Proceedings of ICDMIS 2025, Volume 5 - Soumi Dutta
    Data Mining and Information Security
    Proceedings of ICDMIS 2025, Volume 5
    Soumi Dutta, Abhishek Bhattacharya, Rajesh Kumar and Adam Slowik
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  • Data Mining and Information Security : Proceedings of ICDMIS 2025, Volume 2 - Abhishek Bhattacharya
    Data Mining and Information Security
    Proceedings of ICDMIS 2025, Volume 2
    Abhishek Bhattacharya, Soumi Dutta, Intan Ermahani A. Jalil and Alvaro Rocha
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  • Data Mining and Information Security : Proceedings of ICDMIS 2025, Volume 1 - Abhishek Bhattacharya
    Data Mining and Information Security
    Proceedings of ICDMIS 2025, Volume 1
    Abhishek Bhattacharya, Soumi Dutta, Md. Abdur Razzak and Amlan Chakrabarti
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  • Proceedings of World Conference on Artificial Intelligence: Advances and Applications : WCAIAA 2025, Volume 1 - Ashish Kumar Tripathi
    Proceedings of World Conference on Artificial Intelligence: Advances and Applications
    WCAIAA 2025, Volume 1
    Ashish Kumar Tripathi, Apu Kumar Saha and Vivek Shrivastava
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  • Data Mining and Information Security : Proceedings of ICDMIS 2025, Volume 4 - Abhishek Bhattacharya
    Data Mining and Information Security
    Proceedings of ICDMIS 2025, Volume 4
    Abhishek Bhattacharya, Soumi Dutta, Debabrata Samanta, Paramartha Dutta and Adam S?owik
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  • Automate It All! : Revamping the Outsourcing Industry - Antonio Martínez Rojas
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  • Patent Management : Protecting Intellectual Property and Innovation - Martin A. Bader
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    Martin A. Bader, Oliver Gassmann and Mark James Thompson
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  • Statistics and Data Foundations for AI - Tamraparni Dasu
    Statistics and Data Foundations for AI
    Tamraparni Dasu and Geetha Murthy
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  • Practical SQL; Query & Manage Database : A Hands-On Guide to Database Querying, Design, Management, and Optimization - Stephen Hart
    Practical SQL; Query & Manage Database
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    Stephen Hart
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  • The BCA Advantage - Sonu Suman
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  • Data Quality Techniques : Strategies for Continuous Data Improvement - Daniel Myers
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    Daniel Myers
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  • The AI-Driven Data Team : Improve Your Analytics with AI - Nicholas Kelly
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    Nicholas Kelly
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  • R for Earth and Sustainability Data Analytics : A Beginner's Guide to Earth Data Analytics with GIS, Mapping, Time Series, and Machine Learning in R - Antonios E. Marsellos
    R for Earth and Sustainability Data Analytics
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    Antonios E. Marsellos and Katerina G. Tsakiri
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  • Snowflake Data Warehouse Engineering : Architecture, Modeling, ELT Pipelines, and Operations - Martin Hander
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    Martin Hander
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  • Practical Elasticsearch Query Language - Leo Po
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  • Practical Elasticsearch Query Language : Query, Analyze, Filter, Aggregate, Join, and Search across Billions of Records with ES|QL - Leo Po
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  • Medical Image Registration : International Challenge, Learn2Reg 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27-October 4, 2025, Proceedings - Junyu Chen
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    Junyu Chen, Aaron Carass, Mattias Heinrich and Reuben Dorent
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  • Machine Learning and Knowledge Engineering for Decision Making : The 17th International FLINS Conference on Fuzzy Logic for Intelligent Systems and The 21st International Conference on Intelligent Systems and Knowledge Engineering, FLINS-ISKE 2026, Sydney, NSW, Australia, July 15-19, 2026, Proceedings, Part IV - Jie Lu
    Machine Learning and Knowledge Engineering for Decision Making
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    Jie Lu, Javier Montero, Yi Zhang, Junyu Xuan and Etienne Kerre
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  • Prompting Pandas for Data Analysis : Analyze, Clean, Transform, and Automate Real-World Data Workflows Faster with Pandas, Python, and AI Prompt Engineering (English Edition) - Rahul Vats
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  • Web Information Systems and Technologies : 20th International Conference, WEBIST 2024, Porto, Portugal, November 17-19, 2024, Revised Selected Papers - Massimo Marchiori
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