{"product_id":"from-sensor-networks-to-customer-clicks-how-online-learning-makes-sense-of-real-time-data-von-sartre","title":"From Sensor Networks to Customer Clicks: How Online Learning Makes Sense of Real-Time Data","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.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783384267887\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783384267887","offer_id":49620051722565,"sku":"9783384267887","price":28.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/6c26eb43-94d2-43cc-bc51-9dc5a87e3442.jpg?v=1776492863","url":"https:\/\/shop.autorenwelt.de\/products\/from-sensor-networks-to-customer-clicks-how-online-learning-makes-sense-of-real-time-data-von-sartre","provider":"Autorenwelt Shop","version":"1.0","type":"link"}