Cargando…
Introduction to Data Mining and its Applications
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing wor...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Studies in Computational Intelligence,
29 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-34351-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220112223641.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2006 gw | s |||| 0|eng d | ||
| 020 | |a 9783540343516 |9 978-3-540-34351-6 | ||
| 024 | 7 | |a 10.1007/978-3-540-34351-6 |2 doi | |
| 050 | 4 | |a QA76.9.D343 | |
| 072 | 7 | |a UNF |2 bicssc | |
| 072 | 7 | |a UYQE |2 bicssc | |
| 072 | 7 | |a COM021030 |2 bisacsh | |
| 072 | 7 | |a UNF |2 thema | |
| 072 | 7 | |a UYQE |2 thema | |
| 082 | 0 | 4 | |a 006.312 |2 23 |
| 100 | 1 | |a Sumathi, S. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Introduction to Data Mining and its Applications |h [electronic resource] / |c by S. Sumathi, S.N. Sivanandam. |
| 250 | |a 1st ed. 2006. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2006. | |
| 300 | |a XXII, 828 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 29 | |
| 505 | 0 | |a to Data Mining Principles -- Data Warehousing, Data Mining, and OLAP -- Data Marts and Data Warehouse -- Evolution and Scaling of Data Mining Algorithms -- Emerging Trends and Applications of Data Mining -- Data Mining Trends and Knowledge Discovery -- Data Mining Tasks, Techniques, and Applications -- Data Mining: an Introduction - Case Study -- Data Mining & KDD -- Statistical Themes and Lessons for Data Mining -- Theoretical Frameworks for Data Mining -- Major and Privacy Issues in Data Mining and Knowledge Discovery -- Active Data Mining -- Decomposition in Data Mining - A Case Study -- Data Mining System Products and Research Prototypes -- Data Mining in Customer Value and Customer Relationship Management -- Data Mining in Business -- Data Mining in Sales Marketing and Finance -- Banking and Commercial Applications -- Data Mining for Insurance -- Data Mining in Biomedicine and Science -- Text and Web Mining -- Data Mining in Information Analysis and Delivery -- Data Mining in Telecommunications and Control -- Data Mining in Security. | |
| 520 | |a This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining. | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering-Data processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Mathematical and Computational Engineering Applications. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 700 | 1 | |a Sivanandam, S.N. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783540824183 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540343509 |
| 776 | 0 | 8 | |i Printed edition: |z 9783662500804 |
| 830 | 0 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 29 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-34351-6 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||