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  • Ký hiệu PL/XG: 006.312 B8154
    Nhan đề: Principles of data mining /
ISBN 9781447173069
DDC 006.312
Tác giả CN Bramer, Max.
Nhan đề Principles of data mining / Max Bramer.
Lần xuất bản 3rd edition.
Thông tin xuất bản London : Springer London, 2016
Mô tả vật lý 530 pages : illustrations
Phụ chú Includes index.
Tóm tắt This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included. This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.
Thuật ngữ chủ đề Data mining
Thuật ngữ chủ đề Computer science
Thuật ngữ chủ đề Artificial intelligence
Thuật ngữ chủ đề Database management
Từ khóa tự do Computer programming
Từ khóa tự do Information storage and retrieval systems
Khoa Khoa Công nghệ Thông tin
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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100 |aBramer, Max.|d1948-
245 |aPrinciples of data mining / |cMax Bramer.
250 |a3rd edition.
260 |aLondon : |bSpringer London, |c2016
300 |a530 pages : |billustrations
500 |aIncludes index.
520 |aThis book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included. This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.
541 |aSpringer
650 |aData mining
650 |aComputer science
650 |aArtificial intelligence
650 |aDatabase management
653 |aComputer programming
653 |aInformation storage and retrieval systems
690 |aKhoa Công nghệ Thông tin
691|aCông nghệ thông tin
691|aCông nghệ thông tin - ThS
852 |aThư Viện Đại học Nguyễn Tất Thành
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