Mass appraisal (Record no. 121138)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00682nas a22002177a 4500 |
| 001 - CONTROL NUMBER | |
| control field | K121138 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191018b2019 ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal author | Guerin, Brian |
| 245 ## - TITLE STATEMENT | |
| Title | Mass appraisal |
| 260 ## - PUBLICATION INFORMATION | |
| Date | 2019 |
| 490 ## - SERIES TITLE | |
| Series statement | Modus |
| Volume | October 2019, 37(1) |
| 520 ## - ABSTRACT | |
| Abstract | Looks at how the increase availability of property data and advances in machine learning means that the quality and transparency of automated valuation models is only going to improve. |
| 650 ## - KEYWORDS | |
| Keywords | AUTOMATED VALUATION MODELS |
| 650 ## - KEYWORDS | |
| Keywords | MACHINE LEARNING |
| 650 ## - KEYWORDS | |
| Keywords | DATA |
| 650 ## - KEYWORDS | |
| Keywords | VALUATION |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | United Kingdom |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| 9 (RLIN) | 6274 |
| Topical term or geographic name as entry element | PropTech |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | London | London | Gallery | 18/10/2019 | 18/10/2019 | 18/10/2019 | Journal article |