{"product_id":"unlocking-the-power-of-streaming-data-online-learning-for-diverse-applications-von-james","title":"Unlocking the Power of Streaming Data: Online Learning for Diverse Applications","description":"Data streams are defined as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly infinite and temporarily ordered [7, 22]. Instances in data streams arrive fast, either in batches of data, or instance-by-instance; each instance needs to be processed in a timely manner. Due to these characteristics, such as large amount of data and time constraints, tra-ditional static machine learning algorithms are unsuitable for direct use [7]. That is, techniques learning from data streams need to maintain their performance throughout the stream while limiting memory and processing time. Moreover, evolving or non-stationary data streams are susceptible to changes in the distribution of data, also known as concept drifts.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783384255945\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783384255945","offer_id":48871734903109,"sku":"9783384255945","price":28.1,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/a546747b-2848-4d46-ab45-7a1eda6f8938.jpg?v=1776491382","url":"https:\/\/shop.autorenwelt.de\/products\/unlocking-the-power-of-streaming-data-online-learning-for-diverse-applications-von-james","provider":"Autorenwelt Shop","version":"1.0","type":"link"}