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    Nhan đề: Data Preprocessing in Data Mining.
ISBN 9783319102467
DDC 006.3
Tác giả CN García, Salvador
Nhan đề Data Preprocessing in Data Mining. Volume 72 / Salvador García, Julián Luengo, Francisco Herrera
Thông tin xuất bản New York : Springer Cham Heidelberg, 2015
Mô tả vật lý 327 p. ; cm.
Tóm tắt Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given. Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering
Từ khóa tự do Data mining
Từ khóa tự do Image processing.
Từ khóa tự do Electronic data processing -- Data preparation.
Khoa Khoa Công nghệ Thông tin
Tác giả(bs) CN Herrera, Francisco
Tác giả(bs) CN Luengo, Julián
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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100 |a García, Salvador
245 |aData Preprocessing in Data Mining. |nVolume 72 / |cSalvador García, Julián Luengo, Francisco Herrera
260 |aNew York : |bSpringer Cham Heidelberg, |c2015
300 |a327 p. ; |ccm.
520 |aData Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given. Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering
653 |aData mining
653 |aImage processing.
653 |aElectronic data processing -- Data preparation.
690 |aKhoa Công nghệ Thông tin
691|aCông nghệ thông tin
700 |aHerrera, Francisco
700 |aLuengo, Julián
852 |aThư Viện Đại học Nguyễn Tất Thành
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