Data Analysis and Classification
The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from many types of data. It publishes articles on such topics as structural, quantitative, or...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer - Verlag
2011
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25893 |
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oai:scholar.dlu.edu.vn:DLU123456789-258932012-03-03T04:32:59Z Data Analysis and Classification Palumbo, Francesco Lauro, Carlo Natale Greenacre, Michael J. Tin học Database The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from many types of data. It publishes articles on such topics as structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining large data sets; methods for the extraction of knowledge from data, and applications of advanced methods in specific domains of practice. Articles illustrate how new domain-specific knowledge can be made available from data by skillful use of data analysis methods. The journal also publishes survey papers that outline, and illuminate the basic ideas and techniques of special approaches. 2011-09-19T09:56:43Z 2011-09-19T09:56:43Z 2010 Book 978-3-642-03738-2 978-3-642-03739-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25893 en application/pdf Springer - Verlag |
| institution |
Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Tin học Database |
| spellingShingle |
Tin học Database Palumbo, Francesco Lauro, Carlo Natale Greenacre, Michael J. Data Analysis and Classification |
| description |
The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from many types of data. It publishes articles on such topics as structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining large data sets; methods for the extraction of knowledge from data, and applications of advanced methods in specific domains of practice. Articles illustrate how new domain-specific knowledge can be made available from data by skillful use of data analysis methods. The journal also publishes survey papers that outline, and illuminate the basic ideas and techniques of special approaches. |
| format |
Book |
| author |
Palumbo, Francesco Lauro, Carlo Natale Greenacre, Michael J. |
| author_facet |
Palumbo, Francesco Lauro, Carlo Natale Greenacre, Michael J. |
| author_sort |
Palumbo, Francesco |
| title |
Data Analysis and Classification |
| title_short |
Data Analysis and Classification |
| title_full |
Data Analysis and Classification |
| title_fullStr |
Data Analysis and Classification |
| title_full_unstemmed |
Data Analysis and Classification |
| title_sort |
data analysis and classification |
| publisher |
Springer - Verlag |
| publishDate |
2011 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25893 |
| _version_ |
1819786143998148608 |