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Top Series in United States

Showing 1 - 12 of 12 results for “jiamin yao”
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  • Neural Network-Based Deep Learning for Online Payment Fraud Detection

    by Yu Xie, Yue Tian, Jiamin Yao, Guanjun Liu ...
    Series series Business and Management (R0)
    This book explores deep learning as a next-generation approach to online payment fraud detection in the face of increasingly complex and adaptive threats. Traditional rule-based or shallow learning methods are no longer sufficient. Through ten focused chapters, this book tackles challenges such as behavioral modeling, spatiotemporal anomaly detection, class imbalance, behavior drift, and graph ... Read more

    $116.09 USD

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  • Data Mining: Concepts and Techniques

    by Jiawei Han, Micheline Kamber, Jian Pei ...
    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 ... Read more

    $67.49 USD

  • Automated Machine Learning

    Methods, Systems, Challenges

    Edited by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren ...
    Series series The Springer Series on Challenges in Machine Learning
    This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML ... Read more

    Free

  • Self-Adaptive Systems for Machine Intelligence

    by Haibo He ...
    This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and ... Read more

    $90.00 USD

  • A General Introduction to Data Analytics

    by João Moreira, Andre Carvalho, Tomás Horvath ...
    A guide to the principles and methods of data analysis that does not require knowledge of statistics or programmingA General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of ... Read more

    $82.00 USD

  • Computational Intelligence Techniques for Trading and Investment

    Edited by Christian Dunis, Spiros Likothanassis, Andreas Karathanasopoulos, Georgios Sermpinis, Konstantinos Theofilatos ...
    Series series Routledge Advances in Experimental and Computable Economics
    Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, ... Read more

    $64.99 USD

  • Data Mining

    Concepts and Techniques

    by Jiawei Han, Jian Pei, Hanghang Tong ...
    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, ... Read more

    $63.89 USD

  • Computerized Adaptive and Multistage Testing with R

    Using Packages catR and mstR

    by David Magis, Duanli Yan, Alina A. von Davier ...
    Series series Mathematics and Statistics (R0)
    The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the ... Read more

    $49.49 USD

  • Introduction To Machine Learning In Quantitative Finance, An

    by Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu ...
    Series series Advanced Textbooks In Mathematics
    In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative ... Read more

    $34.19 USD

  • Sample Size Determination and Power

    by Thomas P. Ryan ...
    Series series Wiley Series in Probability and Statistics
    A comprehensive approach to sample size determination and power with applications for a variety of fieldsSample Size Determination and Power features a modern introduction to the applicability of sample size determination and provides a variety of discussions on broad topics including epidemiology, microarrays, survival analysis and reliability, design of experiments, regression, and confidence ... Read more

    $105.00 USD

  • Ensemble Methods in Data Mining

    Improving Accuracy Through Combining Predictions

    by Giovanni Seni, John Elder ...
    Series series Synthesis Lectures on Data Mining & Knowledge Discovery
    Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection to recommendation systems -- where predictive accuracy ... Read more

    $32.39 USD

  • Practical Multilevel Modeling Using R

    by Francis L. Huang ...
    Series series Advanced Quantitative Techniques in the Social Sciences
    Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world ... Read more

    $70.19 USD