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  • Algorithm Portfolios

    Advances, Applications, and Challenges

    Series series Mathematics and Statistics (R0)
    This book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems. It is expected to be a primary reference point for researchers and doctoral students in relevant domains that seek a quick exposure to the field. The presentation focuses primarily on the applicability of the methods and the non-expert reader will ... Leer más

    $62.99 USD

  • Analysis of Experimental Algorithms

    Special Event, SEA² 2019, Kalamata, Greece, June 24-29, 2019, Revised Selected Papers

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed post-conference proceedings of the Special Event on the Analysis of Experimental Algorithms, SEA² 2019, held in Kalamata, Greece, in June 2019.The 35 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers cover a wide range of topics in both computer science and operations research/mathematical programming. They focus ... Leer más

    $80.99 USD

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  • Data Mining: Concepts and Techniques

    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and ... Leer más

    $67.49 USD

  • Network and Discrete Location

    Models, Algorithms, and Applications

    Praise for the First EditionThis book is refreshing to read since it takes an important topic...and presents it in a clear and concise manner by using examples that include visual presentations of the problem, solution methods, and results along with an explanation of the mathematical and procedural steps required to model the problem and work through to a so... ... Leer más

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  • Machine Learning for Data Streams

    with Practical Examples in MOA

    Series series Adaptive Computation and Machine Learning series
    A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, ... Leer más

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  • Gmdh-methodology And Implementation In Matlab

    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... Leer más

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  • Data Science Revealed

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    Series series Professional and Applied Computing (R0)
    Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and ... Leer más

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  • Stochastic Local Search

    Foundations and Applications

    Series series The Morgan Kaufmann Series in Artificial Intelligence
    Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many ... Leer más

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  • Multi-Objective Decision Making

    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple ... Leer más

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  • Anomaly Detection Principles and Algorithms

    Series series Computer Science (R0)
    This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses.The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and ... Leer más

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  • Decision Sciences

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    This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to ... Leer más

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  • Stochastic Reliability and Maintenance Modeling

    Essays in Honor of Professor Shunji Osaki on his 70th Birthday

    Edición de Tadashi Dohi, Toshio Nakagawa ...
    Series series Engineering (R0)
    In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and ... Leer más

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