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Data mining : concepts and techniques /

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Han, Jiawei
Otros Autores: Kamber, Micheline, Pei, Jian
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington : Elsevier Science, 2011.
Edición:3rd ed.
Colección:Morgan Kaufmann series in data management systems.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Han, Jiawei. 
245 1 0 |a Data mining :  |b concepts and techniques /  |c Jiawei Han, Micheline Kamber, Jian Pei. 
250 |a 3rd ed. 
260 |a Burlington :  |b Elsevier Science,  |c 2011. 
300 |a 1 online resource (744 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Morgan Kaufmann series in data management systems 
504 |a Includes bibliographical references (pages 633-671) and index. 
505 0 |a Front Cover; Data Mining: Concepts and Techniques; Copyright; Dedication; Table of Contents; Foreword; Foreword to Second Edition; Preface; Acknowledgments; About the Authors; Chapter 1. Introduction; Chapter 2. Getting to Know Your Data; Chapter 3. Data Preprocessing; Chapter 4. Data Warehousing and Online Analytical Processing; Chapter 5. Data Cube Technology; Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods; Chapter 7. Advanced Pattern Mining; Chapter 8. Classification: Basic Concepts; Chapter 9. Classification: Advanced Methods. 
505 8 |a Chapter 10. Cluster Analysis: Basic Concepts and MethodsChapter 11. Advanced Cluster Analysis; Chapter 12. Outlier Detection; Chapter 13. Data Mining Trends and Research Frontiers; Bibliography; Index. 
520 |a The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understandin. 
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650 0 |a Data mining. 
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653 |a Data mining  |a Handbooks, manuals, etc. 
653 |a Computer science 
653 |a Electronic books 
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655 7 |a Guides et manuels.  |2 rvmgf  |0 (CaQQLa)RVMGF-000001065 
700 1 |a Kamber, Micheline. 
700 1 |a Pei, Jian. 
776 0 8 |i Print version:  |a Han, Jiawei.  |t Data Mining: Concepts and Techniques.  |d Burlington : Elsevier Science, �2011  |z 9780123814791 
830 0 |a Morgan Kaufmann series in data management systems. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780123814791  |z Texto completo