Data Science / Data-mining
資料探勘是從大量資料中尋找有用的訊息的過程,透過運用統計和機器學習技術來探索和分析資料,揭示其中的模式和關聯性。
這些資訊可以被應用於預測、決策制定、洞察市場趨勢以及優化業務流程等方面。
資料探勘在各個領域中扮演著重要的角色,例如醫療保健、金融、銷售和市場營銷等。
相關書籍
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The Four Generations of Entity Resolution$2,130$2,024 -
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Data Science: New Issues, Challenges and Applications$7,160$6,802 -
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Data Cleaning for Effective Data Science$1,940$1,843 -
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[set Online Social Network Analysis, Vol 1-3]$7,410$7,040 -
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Healthcare Informatics: Strategies for the Digital Era$3,360$3,192 -
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Artificial Intelligence and Data Mining in Healthcare$6,780$6,441 -
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Intrusion Detection: A Data Mining Approach$6,780$6,441 -
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Nature Inspired Computing for Data Science$4,500$4,275 -
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Identification of Pathogenic Social Media Accounts: From Data to Intelligence to Prediction$2,410$2,290 -
Business Analytics, 4/e (AE-Paperback)$1,480$1,450 -
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The Hitchhiker's Guide to Data Science (Chapman & Hall/CRC Big Data Series)$1,700$1,615 -
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GIS and Machine Learning for Small Area Classifications in Developing Countries$6,780$6,441 -
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$1,935Fighting Churn with Data: The Science and Strategy of Customer Retention (Paperback) -
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Mining Intelligence and Knowledge Exploration: 7th International Conference, Mike 2019, Goa, India, December 19-22, 2019, Proceedings$2,410$2,290 -
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Handbook of Graphical Models$3,280$3,116 -
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Why AI/Data Science Projects Fail$1,980$1,881