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    Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Reopst)

    Posted By: AvaxGenius
    Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Reopst)

    Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 by Aboul-Ella Hassanien
    English | EPUB | 2021 | 1144 Pages | ISBN : 3030697169 | 134.2 MB

    This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE).
    The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.

    Advanced SQL: Implementing Modern Data Solutions and ML Applications

    Posted By: First1
    Advanced SQL: Implementing Modern Data Solutions and ML Applications

    Advanced SQL: Implementing Modern Data Solutions and ML Applications by Rui Machado, Hélder Russa, Pedro Esmeriz
    English | August 11th, 2026 | ISBN: 9798341627482 | 409 pages | True EPUB (Retail Copy) | 3.62 MB

    SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms.

    Designing the AI-Driven Data Foundations: Architecture, Principles, and Practice

    Posted By: First1
    Designing the AI-Driven Data Foundations: Architecture, Principles, and Practice

    Designing the AI-Driven Data Foundations: Architecture, Principles, and Practice by Sanjeev Mohan
    English | June 29th, 2026 | ISBN: 139439666X | 272 pages | True EPUB | 2.05 MB

    Build AI-powered data platforms that unify analytics and intelligence

    Möglichkeiten und Grenzen des Data Mining in der Strafverfolgung

    Posted By: hill0
    Möglichkeiten und Grenzen des Data Mining in der Strafverfolgung

    Möglichkeiten und Grenzen des Data Mining in der Strafverfolgung
    Deutsch | 2026 | ISBN: 3658524103 | 772 Pages | PDF (True) | 10 MB

    Data Mining and Information Security, Volume 1

    Posted By: hill0
    Data Mining and Information Security, Volume 1

    Data Mining and Information Security: Proceedings of ICDMIS 2025, Volume 1
    English | 2026 | ISBN: 3032259487 | 616 Pages | PDF (True) | 56 MB

    Predictive Analytics Essential Training: Data Mining

    Posted By: IrGens
    Predictive Analytics Essential Training: Data Mining

    Predictive Analytics Essential Training: Data Mining
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 56m | 250 MB
    Instructor: Keith McCormick

    Geometric Structure of High-Dimensional Data and Dimensionality Reduction

    Posted By: AvaxGenius
    Geometric Structure of High-Dimensional Data and Dimensionality Reduction

    Geometric Structure of High-Dimensional Data and Dimensionality Reduction by Jianzhong Wang
    English | PDF (True) | 2012 | 363 Pages | ISBN : 64227496X | 8.5 MB

    "Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods, the book moreover stresses the recently developed nonlinear methods and introduces the applications of dimensionality reduction in many areas, such as face recognition, image segmentation, data classification, data visualization, and hyperspectral imagery data analysis. Numerous tables and graphs are included to illustrate the ideas, effects, and shortcomings of the methods. MATLAB code of all dimensionality reduction algorithms is provided to aid the readers with the implementations on computers.

    Data Mining

    Posted By: hill0
    Data Mining

    Data Mining
    Deutsch | 2014 | ISBN: 3486713914 | 208 Pages | EPUB | 6 MB

    Modeling Decisions: Information Fusion and Aggregation Operators

    Posted By: AvaxGenius
    Modeling Decisions: Information Fusion and Aggregation Operators

    Modeling Decisions: Information Fusion and Aggregation Operators by Vicenç Torra , Yasuo Narukawa
    English | PDF | 2007 | 289 Pages | ISBN : 3540687890 | 2.2 MB

    Information fusion techniques and aggregation operators produce the most comprehensive, specific datum about an entity using data supplied from different sources, thus enabling us to reduce noise, increase accuracy, summarize and extract information, and make decisions. These techniques are applied in fields such as economics, biology and education, while in computer science they are particularly used in fields such as knowledge-based systems, robotics, and data mining.

    Artificial Intelligence in Models, Methods and Applications (Repost)

    Posted By: AvaxGenius
    Artificial Intelligence in Models, Methods and Applications (Repost)

    Artificial Intelligence in Models, Methods and Applications by Olga Dolinina, Igor Bessmertny, Alexander Brovko, Vladik Kreinovich, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud
    English | EPUB | 2023 | 694 Pages | ISBN : 3031229371 | 106.4MB

    This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022). The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI). Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence.

    Lecture Notes in Computational Intelligence and Decision Making

    Posted By: AvaxGenius
    Lecture Notes in Computational Intelligence and Decision Making

    Lecture Notes in Computational Intelligence and Decision Making: 2021 International Scientific Conference "Intellectual Systems of Decision-making and Problems of Computational Intelligence”, Proceedings by Sergii Babichev
    English | EPUB | 2022 | 819 Pages | ISBN : 3030820130 | 110.6 MB

    This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis, and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning creates the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing.

    Causal Inference with Bayesian Networks: Build Bayesian Networks and Causal Inference Models with R and Python

    Posted By: First1
    Causal Inference with Bayesian Networks: Build Bayesian Networks and Causal Inference Models with R and Python

    Causal Inference with Bayesian Networks: Build Bayesian Networks and Causal Inference Models with R and Python by Yousri El Fattah, Reza Bagheri
    English | June 5th, 2026 | ISBN: 1835084982 | 686 pages | True EPUB (Retail Copy) | 13.91 MB

    Learn Bayesian networks, graphical models, and causal inference for probabilistic reasoning, treatment effect estimation, and decision-making using observational data with hands-on examples in R and Python.

    Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Repost)

    Posted By: AvaxGenius
    Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Repost)

    Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval by Dengsheng Zhang
    English | EPUB | 2019 | 314 Pages | ISBN : 3030179885 | 92.13 MB

    This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments.

    Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 (Repost)

    Posted By: AvaxGenius
    Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 (Repost)

    Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 by Mukesh Saraswat
    English | PDF,EPUB | 2022 | 845 Pages | ISBN : 9811651191 | 174.5 MB

    This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

    Data Mining and Information Security, Volume 3

    Posted By: hill0
    Data Mining and Information Security, Volume 3

    Data Mining and Information Security: Proceedings of ICDMIS 2025, Volume 3
    English | 2026 | ISBN: 3032259541 | 621 Pages | PDF (True) | 74 MB