Algorithms And Data Structures: Digital Watermarks

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Azure Data and AI Architect Handbook: Adopt a structured approach to designing data and AI solutions at scale [Team-IRA]

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Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

Paul Deitel, Harvey Deitel

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Improving Business Statistics Through Interagency Data Sharing: Summary of a Workshop

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Data Analytics and Management in Data Intensive Domains: 22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13–16, 2020, ... in Computer and Information Science)

Alexander Sychev (editor), Sergey Makhortov (editor), Bernhard Thalheim (editor), 2021

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Data Classification and Incremental Clustering in Data Mining and Machine Learning

Sanjay Chakraborty, Sk Hafizul Islam, Debabrata Samanta, 2022

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Data Analytics and Management in Data Intensive Domains: 23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26–29, 2021, Revised ... in Computer and Information Science)

Alexei Pozanenko (editor), Sergey Stupnikov (editor), Bernhard Thalheim (editor), Eva Mendez (editor), Nadezhda Kiselyova (editor), 2022

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Data and Applications Security XXII: 22nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security London, UK, July 13-16, 2008, Proceedings (Lecture Notes in Computer Science, 5094)

Vijay Atluri (editor), 2008

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Data and Applications Security XXI: 21st Annual IFIP WG 11.3 Working Conference on Data and Applications Security, Redondo Beach, CA, USA, July 8-11, 2007, Proceedings

Steve Barker (editor), Gail-Joon Ahn (editor), 2007

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Computational Methods and Data Engineering: Proceedings of ICCMDE 2021 (Lecture Notes on Data Engineering and Communications Technologies, 139)

Vijayan K. Asari (editor), Vijendra Singh (editor), Rajkumar Rajasekaran (editor), R. B. Patel (editor), 2022

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Data Analysis and Rationality in a Complex World (Studies in Classification, Data Analysis, and Knowledge Organization)

Theodore Chadjipadelis (editor), Berthold Lausen (editor), Angelos Markos (editor), Tae Rim Lee (editor), Angela Montanari (editor), Rebecca Nugent (editor), 2021

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Data Engineering and Communication Technology: Proceedings of ICDECT 2020 (Lecture Notes on Data Engineering and Communications Technologies, 63)

K. Ashoka Reddy (editor), B. Rama Devi (editor), Boby George (editor), K. Srujan Raju (editor), 2021

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Data Mining and Big Data: 8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part I (Communications in Computer and Information Science, 2017)

Ying Tan (editor), Yuhui Shi (editor), 2024

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Modeling and Data Mining in Blogosphere (Synthesis Lectures on Data Mining and Knowledge Discovery)

Huan Liu, Nitin Agarwal, 2009

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Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text (Quantitative Methods in the Humanities and Social Sciences)

Taylor Arnold, Lauren Tilton, 2024

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Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data

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Data hiding: Exposing concealed data in multimedia, operating systems, mobile devices and network protocols

.NET Compact Framework 3.5 Data-Driven Applications: Build robust and feature-rich mobile data-driven applications with the help of real-world examples

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Data Warehousing and Data Mining for Telecommunications

Rob Mattison, 1997

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Advances in Data Mining: Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM

Petra Perner, 2006

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Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)

Giovanni Seni, John Elder, 2010

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Scala Data Analysis Cookbook: Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes

Arun Manivannan, 2015

نتایج جستجو

Azure Data and AI Architect Handbook: Adopt a structured approach to designing data and AI solutions at scale [Team-IRA]

Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

Improving Business Statistics Through Interagency Data Sharing: Summary of a Workshop

Data Analytics and Management in Data Intensive Domains: 22nd International Conference, DAMDID/RCDL 2020, Voronezh, Russia, October 13–16, 2020, ... in Computer and Information Science)

Data Classification and Incremental Clustering in Data Mining and Machine Learning

Data Analytics and Management in Data Intensive Domains: 23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26–29, 2021, Revised ... in Computer and Information Science)

Data and Applications Security XXII: 22nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security London, UK, July 13-16, 2008, Proceedings (Lecture Notes in Computer Science, 5094)

Data and Applications Security XXI: 21st Annual IFIP WG 11.3 Working Conference on Data and Applications Security, Redondo Beach, CA, USA, July 8-11, 2007, Proceedings

Computational Methods and Data Engineering: Proceedings of ICCMDE 2021 (Lecture Notes on Data Engineering and Communications Technologies, 139)

Data Analysis and Rationality in a Complex World (Studies in Classification, Data Analysis, and Knowledge Organization)

Data Engineering and Communication Technology: Proceedings of ICDECT 2020 (Lecture Notes on Data Engineering and Communications Technologies, 63)

Data Mining and Big Data: 8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part I (Communications in Computer and Information Science, 2017)

Modeling and Data Mining in Blogosphere (Synthesis Lectures on Data Mining and Knowledge Discovery)

Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text (Quantitative Methods in the Humanities and Social Sciences)

Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data

Data hiding: Exposing concealed data in multimedia, operating systems, mobile devices and network protocols

Data hiding: Exposing concealed data in multimedia, operating systems, mobile devices and network protocols

Data Hiding: Exposing Concealed Data in Multimedia, Operating Systems, Mobile Devices and Network Protocols

Data Hiding: Exposing Concealed Data in Multimedia, Operating Systems, Mobile Devices and Network Protocols

.NET Compact Framework 3.5 Data-Driven Applications: Build robust and feature-rich mobile data-driven applications with the help of real-world examples

Data Warehousing and Data Mining for Telecommunications

Advances in Data Mining: Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)

Scala Data Analysis Cookbook: Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes