Advances in data science: symbolic, complex, and network data (Record no. 1605)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01713nam a2200253 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250714133157.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250714b2020|||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119695103 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.74 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Diday, Edwin |
| Relator term | Editor |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Guan, Rong |
| Relator term | Co-Editor |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Saporta, Gilbert |
| Relator term | Co-Editor |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Wang, Huiwen |
| Relator term | Co-Editor |
| 245 ## - TITLE STATEMENT | |
| Title | Advances in data science: symbolic, complex, and network data |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New Jersey: |
| Name of publisher | Wiley Data and Cybersecurity, |
| Year of publication | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xi, 233p. |
| 500 ## - GENERAL NOTE | |
| General note | Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field.<br/><br/>Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Explanatory Tools for Machine Learning in the Symbolic Data Analysis Framework |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Incremental Calculation Framework for Complex Data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Recommender Systems and Attributed Networks |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/servlet/opac?bknumber=9820889 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | e-Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Coded location qualifier | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | Ebook (Online Access) | --- | 005.74 (Online Access) | EB0033 | e-Books |