Machine Learning for Data Streams: with Practical Examples in MOAКНИГИ » ОС И БД
Название: Machine Learning for Data Streams: with Practical Examples in MOA (Adaptive Computation and Machine Learning series) Автор: Albert Bifet, Ricard Gavalda, Geoff Holmes Издательство: The MIT Press Год: 2017 Формат: True PDF Страниц: 287 Размер: 14.9 Mb Язык: English
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, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.
R Programming: An Approach to Data Analytics Название: R Programming: An Approach to Data Analytics Автор: G. Sudhamathy, C. Jothi Venkateswaran Издательство: MJP Publishers Год: 2019 ...
Навигация
Вход на сайт
Реклама
Machine Learning for Data Streams: with Practical Examples in MOA 
