Books in the genre “Data mining” publishing house “Taylor & Francis / Taylor & Francis / ”

158 products
Taylor & Francis / Taylor & Francis /
Clear all
Books in the genre “Data mining” publishing house “Taylor & Francis / Taylor & Francis / ”
158 products
Paper book «Cybersecurity in Robotic Autonomous Vehicles: Machine Learning Applications to Detect Cyber Attacks», authors Ahmed Alruwaili, Iqbal Gondal, Sardar M. N. Islam – фото №1
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Paper book «AI Models for Human and Societal Beneficial Technologies on Earth and in Space», authors Adonis Marco, Ayodele Periola, Innocent Davidson – фото №1
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AI Models for Human and Societal Beneficial Technologies on Earth and in Space
Adonis Marco Adonis Marco, Ayodele Periola, Innocent Davidson
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Paper book «Structural Pattern Recognition using Graph Matching: Approximate and Error-Tolerant Algorithms», authors Ravi Shankar Singh, Shri Prakash Dwivedi – фото №1
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Paper book «Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases», authors Jamuna S Murthy, Siddesh G M – фото №1
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Paper book «Teaching Computers to Read: Effective Best Practices in Building Valuable NLP Solutions», author Rachel Wagner-Kaiser – фото №1
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Paper book «Teaching Computers to Read: Effective Best Practices in Building Valuable NLP Solutions», author Rachel Wagner-Kaiser – фото №1
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Paper book «Organizational Excellence: Data, Technology and Leadership», author Shyama Prasad Mukherjee – фото №1
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Organizational Excellence: Data, Technology and Leadership
Shyama Prasad Mukherjee Shyama Prasad Mukherjee
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Paper book «Scaling Up with R and Apache Arrow: Bigger Data, Easier Workflows», authors Jonathan Keane, Нил Ричардсон / Ніл Річардсон / , Nick Crane – фото №1
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Scaling Up with R and Apache Arrow: Bigger Data, Easier Workflows
Jonathan Keane Jonathan Keane, Нил Ричардсон / Ніл Річардсон / , Nick Crane
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Paper book «Data Analytics using Machine Learning Techniques on Cloud Platforms», authors Avita Katal, Praveen Kumar – фото №1
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Paper book «The Digital Humanities Coursebook: Applied Concepts and Critical Approaches», author Johanna Drucker – фото №1
Paper book «Deep Learning: A Beginners' Guide», author Dulani Meedeniya – фото №1
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Deep Learning: A Beginners' Guide
Dulani Meedeniya Dulani Meedeniya
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Paper book «A Concise Introduction to Machine Learning», author A.C. Faul – фото №1
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Paper book «Data Analytics for Smart Infrastructure: Asset Management and Network Performance», authors Bin Liang, Fang Chen, Ян Ван / Ян Ван /  – фото №1
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Data Analytics for Smart Infrastructure: Asset Management and Network Performance
Bin Liang Bin Liang, Fang Chen, Ян Ван / Ян Ван /
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Paper book «Java 22 for Healthcare and Medical Applications», author Usharani Bhimavarapu – фото №1
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Java 22 for Healthcare and Medical Applications
Usharani Bhimavarapu Usharani Bhimavarapu
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Paper book «Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: Techniques and Use Cases», authors D. Karthika Renuka, L. Ashok Kumar – фото №1
Paper book «Ensemble Methods: Foundations and Algorithms», author Zhi-Hua Zhou – фото №1
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Paper book «Disk-Based Algorithms for Big Data», author Кристофер Хили / Крістофер Хілі /  – фото №1
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Disk-Based Algorithms for Big Data
Кристофер Хили / Крістофер Хілі / Кристофер Хили / Крістофер Хілі /
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Paper book «Leadership Strategies in the Age of Big Data, Algorithms, and Analytics», author Norton Paley – фото №1
Paper book «Urban Informatics: Using Big Data to Understand and Serve Communities», author Daniel T. O'Brien – фото №1
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Paper book «The 3-D Global Spatial Data Model: Principles and Applications, Second Edition», author Earl F. Burkholder – фото №1
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Paper book «Big Data for Big Decisions: Building a Data-Driven Organization», author Krishna Pera – фото №1
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Paper book «A User's Guide to Business Analytics», authors Ayanendranath Basu, Srabashi Basu – фото №1
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A User's Guide to Business Analytics
Ayanendranath Basu Ayanendranath Basu, Srabashi Basu
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Paper book «Intuition, Trust, and Analytics», authors Jay Liebowitz, Jerzy Gołuchowski, Joanna Paliszkiewicz – фото №1
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Intuition, Trust, and Analytics
Jay Liebowitz Jay Liebowitz, Jerzy Gołuchowski, Joanna Paliszkiewicz
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Paper book «Foundations of Predictive Analytics», authors James Wu, Stephen Coggeshall – фото №1
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Foundations of Predictive Analytics
James Wu James Wu, Stephen Coggeshall
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Paper book «Intelligent Technologies for Web Applications», authors Priti Srinivas Sajja, Rajendra Akerkar – фото №1
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Intelligent Technologies for Web Applications
Priti Srinivas Sajja Priti Srinivas Sajja, Rajendra Akerkar
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Paper book «Introduction to Bio-Ontologies», authors Peter N. Robinson, Sebastian Bauer – фото №1
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Introduction to Bio-Ontologies
Peter N. Robinson Peter N. Robinson, Sebastian Bauer
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Paper book «Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds», authors Anang Muhamad Amin, Assad Khan, Benny Nasution – фото №1
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Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds
Anang Muhamad Amin Anang Muhamad Amin, Assad Khan, Benny Nasution
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Paper book «Spectral Feature Selection for Data Mining», authors Huan Liu, Zheng Alan Zhao – фото №1
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Spectral Feature Selection for Data Mining
Huan Liu Huan Liu, Zheng Alan Zhao
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Paper book «Applied Data Mining», authors Guandong Xu, Yu Zong, Zhenglu Yang – фото №1
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Applied Data Mining
Guandong Xu Guandong Xu, Yu Zong, Zhenglu Yang
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Paper book «Logo Recognition: Theory and Practice», authors Dan Chen, Jingying Chen, Lizhe Wang – фото №1
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Logo Recognition: Theory and Practice
Dan Chen Dan Chen, Jingying Chen, Lizhe Wang
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Paper book «Music Emotion Recognition», authors Homer H. Chen, Yi-Hsuan Yang – фото №1
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Music Emotion Recognition
Homer H. Chen Homer H. Chen, Yi-Hsuan Yang
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Paper book «Practical Graph Mining with R» – фото №1