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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Fortino, Andres | - |
dc.date.accessioned | 2024-10-29T02:33:03Z | - |
dc.date.available | 2024-10-29T02:33:03Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/11594 | - |
dc.description.abstract | "Data mining is a recent development in the area of data analysis (within the last 20 years). With many recent advances in data science, we now have many more tools and techniques available for data analysts to extract information from data sets. This book helps data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Data mining is a sophisticated and organized activity with a well-defined process encoded in the CRISP-DM standard. In this book, we develop an understanding of the tools and techniques to assist the individual data analyst, but not necessarily a data science team | vi |
dc.format.extent | 291 p | vi |
dc.language.iso | en | vi |
dc.publisher | Mercury Learning & Information | vi |
dc.subject | Data Mining | vi |
dc.subject | Khai thác dữ liệu | vi |
dc.title | Data mining and predictive analytics | vi |
dc.type | Sách/Book | vi |
Appears in Collections | Tin học |
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