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Titlebook: Stream Data Mining: Algorithms and Their Probabilistic Properties; Leszek Rutkowski,Maciej Jaworski,Piotr Duda Book 2020 Springer Nature S

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發(fā)表于 2025-3-21 17:22:18 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Stream Data Mining: Algorithms and Their Probabilistic Properties
編輯Leszek Rutkowski,Maciej Jaworski,Piotr Duda
視頻videohttp://file.papertrans.cn/880/879480/879480.mp4
概述Presents a unique and innovative approach to stream data mining.Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are ma
叢書名稱Studies in Big Data
圖書封面Titlebook: Stream Data Mining: Algorithms and Their Probabilistic Properties;  Leszek Rutkowski,Maciej Jaworski,Piotr Duda Book 2020 Springer Nature S
描述.This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks..
出版日期Book 2020
關(guān)鍵詞Big Data; Data Science; Stream Data Mining; Streaming; Stream Data Algorithms
版次1
doihttps://doi.org/10.1007/978-3-030-13962-9
isbn_ebook978-3-030-13962-9Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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發(fā)表于 2025-3-21 22:18:44 | 只看該作者
s are reviewed here, as is the use of biological annotation for both viewing the relevance of empirical associations, and to structure analysis in order to focus on those markers with the highest expectation for association with the outcomes under study.
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發(fā)表于 2025-3-22 03:12:33 | 只看該作者
Leszek Rutkowski,Maciej Jaworski,Piotr Dudas are reviewed here, as is the use of biological annotation for both viewing the relevance of empirical associations, and to structure analysis in order to focus on those markers with the highest expectation for association with the outcomes under study.
地板
發(fā)表于 2025-3-22 05:31:06 | 只看該作者
Leszek Rutkowski,Maciej Jaworski,Piotr Dudas are reviewed here, as is the use of biological annotation for both viewing the relevance of empirical associations, and to structure analysis in order to focus on those markers with the highest expectation for association with the outcomes under study.
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發(fā)表于 2025-3-22 11:11:05 | 只看該作者
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發(fā)表于 2025-3-22 14:33:43 | 只看該作者
Leszek Rutkowski,Maciej Jaworski,Piotr Dudas are reviewed here, as is the use of biological annotation for both viewing the relevance of empirical associations, and to structure analysis in order to focus on those markers with the highest expectation for association with the outcomes under study.
7#
發(fā)表于 2025-3-22 18:52:37 | 只看該作者
Leszek Rutkowski,Maciej Jaworski,Piotr Dudas are reviewed here, as is the use of biological annotation for both viewing the relevance of empirical associations, and to structure analysis in order to focus on those markers with the highest expectation for association with the outcomes under study.
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發(fā)表于 2025-3-22 22:34:55 | 只看該作者
2197-6503 oosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks..978-3-030-13962-9Series ISSN 2197-6503 Series E-ISSN 2197-6511
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發(fā)表于 2025-3-23 03:39:55 | 只看該作者
Introduction and Overview of the Main Results of the Book,y of the previously presented in the literature heuristic methods, this book focuses on algorithms which are mathematically justified. However, it should be noted that the heuristic solutions cannot be completely abandoned since they often lead to satisfactory practical results. Therefore, the mathe
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發(fā)表于 2025-3-23 08:07:17 | 只看該作者
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