April 2025
Intermediate to advanced
504 pages
15h
Portuguese (Portugal, Brazil)
Content preview from Análise prática de séries temporais
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Capítulo 16. Pacotes de séries temporais
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Nos últimos anos, foram publicados vários pacotes e documentos por grandes empresas tecnológicas relacionados com a forma como lidam com o enorme número de séries cronológicas que recolhem enquanto organizações digitais com enormes bases de clientes, registos sofisticados, análises empresariais de ponta e inúmeras necessidades de previsão e processamento de dados. Neste capítulo, vamos discutir algumas das principais áreas de pesquisa e desenvolvimento relacionadas com estes conjuntos de dados de séries temporais em constante expansão, especificamente: previsão em escala e deteção de anomalias.
Previsão à escala
Para muitas grandes empresas tecnológicas, lidar com séries cronológicas é um problema cada vez mais importante e que surgiu naturalmente nas suas organizações. Ao longo do tempo, várias destas empresas responderam desenvolvendo pacotes inteligentes e automatizados de séries cronológicas especificamente orientados para a "previsão em escala", uma vez que eram necessárias tantas previsões numa grande variedade de domínios. Eis como dois cientistas de dados da Google que desenvolveram o pacote de previsão automatizada da empresa descreveram as circunstâncias que motivaram o seu produto numa publicação de blogue de 2017 (ênfase acrescentada):
A procura de previsões de séries cronológicas na Google cresceu rapidamente, ...
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