Tags
Language
Tags
July 2025
Su Mo Tu We Th Fr Sa
29 30 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31 1 2
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Data Mining with SPSS Modeler: Theory, Exercises and Solutions (Repost)

    Posted By: AvaxGenius
    Data Mining with SPSS Modeler: Theory, Exercises and Solutions (Repost)

    Data Mining with SPSS Modeler: Theory, Exercises and Solutions by Tilo Wendler
    English | EPUB | 2021 | 1285 Pages | ISBN : 3030543374 | 471.9 MB

    Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams.

    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 Science and Emerging Technologies: Proceedings of DaSET 2022 (Repost)

    Posted By: AvaxGenius
    Data Science and Emerging Technologies: Proceedings of DaSET 2022 (Repost)

    Data Science and Emerging Technologies: Proceedings of DaSET 2022 by Yap Bee Wah, Michael W. Berry, Azlinah Mohamed, Dhiya Al-Jumeily
    English | PDF,EPUB | 2023 | 560 Pages | ISBN : 9819907403 | 115.6 MB

    The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture.

    Communication, Smart Technologies and Innovation for Society: Proceedings of CITIS 2021 (Repost)

    Posted By: AvaxGenius
    Communication, Smart Technologies and Innovation for Society: Proceedings of CITIS 2021 (Repost)

    Communication, Smart Technologies and Innovation for Society: Proceedings of CITIS 2021 by Álvaro Rocha
    English | EPUB | 2022 | 765 Pages | ISBN : 9811641250 | 105.3 MB

    This book gathers high-quality papers presented at International Conference on Science, Technology and Innovation for Society (CITIS 2021), held in Guayaquil, Ecuador, on May 26–28, 2021. This book will present the recent research trends in the fields of software engineering, big data analysis, cloud computing, data engineering, data management and data mining, machine learning, deep learning, artificial intelligence, smart systems, robotics and automation, mechatronic design, and industrial processes design.

    Advanced Data Mining and Applications

    Posted By: AvaxGenius
    Advanced Data Mining and Applications

    Advanced Data Mining and Applications: 19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part III by Xiaochun Yang, Heru Suhartanto, Guoren Wang, Bin Wang, Jing Jiang, Bing Li, Huaijie Zhu, Ningning Cui
    English | PDF (True) | 2023 | 386 Pages | ISBN : 3031466705 | 32.1 MB

    This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.

    Advanced Data Mining and Applications

    Posted By: AvaxGenius
    Advanced Data Mining and Applications

    Advanced Data Mining and Applications: 19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part I by Xiaochun Yang, Heru Suhartanto, Guoren Wang, Bin Wang, Jing Jiang, Bing Li, Huaijie Zhu, Ningning Cui
    English | PDF (True) | 2023 | 848 Pages | ISBN : 3031466608 | 63.2 MB

    This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.

    Artificial Intelligence and Smart Vehicles

    Posted By: AvaxGenius
    Artificial Intelligence and Smart Vehicles

    Artificial Intelligence and Smart Vehicles: First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers by Mehdi Ghatee, S. Mehdi Hashemi
    English | PDF (True) | 2023 | 230 Pages | ISBN : 3031437624 | 34.6 MB

    This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and Smart Vehicles, ICAISV 2023, held in Tehran, Iran, during May 24-25, 2023.

    International Conference on Neural Computing for Advanced Applications

    Posted By: AvaxGenius
    International Conference on Neural Computing for Advanced Applications

    International Conference on Neural Computing for Advanced Applications: 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
    English | PDF (True) | 2023 | 627 Pages | ISBN : 9819958466 | 71.5 MB

    The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.

    Statistical and Inductive Inference by Minimum Message Length (Repost)

    Posted By: AvaxGenius
    Statistical and Inductive Inference by Minimum Message Length (Repost)

    Statistical and Inductive Inference by Minimum Message Length by C.S. Wallace
    English | PDF | 2005 | 436 Pages | ISBN : 038723795X | 3.4 MB

    My thanks are due to the many people who have assisted in the work reported here and in the preparation of this book. The work is incomplete and this account of it rougher than it might be. Such virtues as it has owe much to others; the faults are all mine. My workle ading to this book began when David Boulton and I attempted to develop a method for intrinsic classi?cation. Given data on a sample from some population, we aimed to discover whether the population should be considered to be a mixture of di?erent types, classes or species of thing, and, if so, how many classes were present, what each class looked like, and which things in the sample belonged to which class. I saw the problem as one of Bayesian inference, but with prior probability densities replaced by discrete probabilities re?ecting the precision to which the data would allow parameters to be estimated. Boulton, however, proposed that a classi?cation of the sample was a way of brie?y encoding the data: once each class was described and each thing assigned to a class, the data for a thing would be partially implied by the characteristics of its class, and hence require little further description. After some weeks’ arguing our cases, we decided on the maths for each approach, and soon discovered they gave essentially the same results. Without Boulton’s insight, we may never have made the connection between inference and brief encoding, which is the heart of this work.

    Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences

    Posted By: AvaxGenius
    Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences

    Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences by Amit K. Shukla
    English | PDF | 2023 | 252 Pages | ISBN : 3036559361 | 17.1 MB

    Mathematical fuzzy logic (MFL) specifically targets many-valued logic and has significantly contributed to the logical foundations of fuzzy set theory (FST). It explores the computational and philosophical rationale behind the uncertainty due to imprecision in the backdrop of traditional mathematical logic. Since uncertainty is present in almost every real-world application, it is essential to develop novel approaches and tools for efficient processing.

    Communication, Smart Technologies and Innovation for Society: Proceedings of CITIS 2021 (Repost)

    Posted By: AvaxGenius
    Communication, Smart Technologies and Innovation for Society: Proceedings of CITIS 2021 (Repost)

    Communication, Smart Technologies and Innovation for Society: Proceedings of CITIS 2021 by Álvaro Rocha
    English | EPUB | 2022 | 765 Pages | ISBN : 9811641250 | 105.3 MB

    This book gathers high-quality papers presented at International Conference on Science, Technology and Innovation for Society (CITIS 2021), held in Guayaquil, Ecuador, on May 26–28, 2021. This book will present the recent research trends in the fields of software engineering, big data analysis, cloud computing, data engineering, data management and data mining, machine learning, deep learning, artificial intelligence, smart systems, robotics and automation, mechatronic design, and industrial processes design.

    Large-Scale Parallel Data Mining (Repost)

    Posted By: AvaxGenius
    Large-Scale Parallel Data Mining (Repost)

    Large-Scale Parallel Data Mining by Mohammed J. Zaki, Ching-Tien Ho
    English | PDF | 2000 | 270 Pages | ISBN : 3540671943 | 3.9 MB

    With the unprecedented growth-rate at which data is being collected and stored electronically today in almost all fields of human endeavor, the efficient extraction of useful information from the data available is becoming an increasing scientific challenge and a massive economic need. This book presents thoroughly reviewed and revised full versions of papers presented at a workshop on the topic held during KDD'99 in San Diego, California, USA in August 1999 complemented by several invited chapters and a detailed introductory survey in order to provide complete coverage of the relevant issues. The contributions presented cover all major tasks in data mining including parallel and distributed mining frameworks, associations, sequences, clustering, and classification. All in all, the volume presents the state of the art in the young and dynamic field of parallel and distributed data mining methods. It will be a valuable source of reference for researchers and professionals.

    Data Analysis Using SQL and Excel®, Second Edition

    Posted By: AvaxGenius
    Data Analysis Using SQL and Excel®, Second Edition

    Data Analysis Using SQL and Excel®, Second Edition by Gordon S. Linoff
    English | PDF (True) | 2015 | 780 Pages | ISBN : 111902143X | 19.6 MB

    A practical guide to data mining using SQL and Excel
    Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way.

    Operational Research in the Era of Digital Transformation and Business Analytics

    Posted By: AvaxGenius
    Operational Research in the Era of Digital Transformation and Business Analytics

    Operational Research in the Era of Digital Transformation and Business Analytics: BALCOR 2020, Thessaloniki, Greece, September 30-October 3, 2020 by Nikolaos F. Matsatsinis, Fotis C. Kitsios, Michael A. Madas, Maria I. Kamariotou
    English | PDF,EPUB (True) | 2023 | 283 Pages | ISBN : 3031242939 | 21 MB

    This proceedings volume presents new methods and applications in Operational Research and Management Science with a special focus on Business Analytics. Featuring selected contributions from the XIV Balkan Conference on Operational Research held in Thessaloniki, Greece in 2020 (BALCOR 2020), it addresses applications and methodological tools or techniques in various areas of Operational Research, such as agent-based modelling, big data and business analytics, data envelopment analysis, data mining, decision support systems, fuzzy systems, game theory, heuristics, metaheuristics and nature inspired optimization algorithms, linear and nonlinear programming, machine learning, multiple criteria decision analysis, network design and optimization, queuing theory, simulation and statistics.

    Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances

    Posted By: AvaxGenius
    Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances

    Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances by Kasthurirangan Gopalakrishnan, Halil Ceylan, Nii O. Attoh-Okine
    English | PDF(True) | 2009 | 330 Pages | ISBN : 3642045855 | 13.6 MB

    The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling.