SPB Git forge

spb/wp21_uqo

Public
0commits 0branches 0releases
0 Bsize
maindefault branch
—last push
18.5 KB · 976 lines json
Raw Blame History
1{2 "id": "https://openalex.org/W3205123717",3 "doi": "https://doi.org/10.21837/pm.v19i17.1018",4 "title": "MACHINE LEARNING FOR PROPERTY PRICE PREDICTION AND PRICE VALUATION: A SYSTEMATIC LITERATURE REVIEW",5 "display_name": "MACHINE LEARNING FOR PROPERTY PRICE PREDICTION AND PRICE VALUATION: A SYSTEMATIC LITERATURE REVIEW",6 "publication_year": 2021,7 "publication_date": "2021-10-17",8 "ids": {9  "openalex": "https://openalex.org/W3205123717",10  "doi": "https://doi.org/10.21837/pm.v19i17.1018",11  "mag": "3205123717"12 },13 "language": "en",14 "primary_location": {15  "id": "doi:10.21837/pm.v19i17.1018",16  "doi": "https://doi.org/10.21837/pm.v19i17.1018",17  "is_oa": true,18  "landing_page_url": "https://doi.org/10.21837/pm.v19i17.1018",19  "pdf_url": null,20  "source": {21   "id": "https://openalex.org/S2764548735",22   "display_name": "PLANNING MALAYSIA",23   "issn_l": "0128-0945",24   "issn": [25    "0128-0945",26    "1675-6215"27   ],28   "is_oa": false,29   "is_in_doaj": false,30   "is_core": false,31   "listed_in": [32    "norway-1"33   ],34   "host_organization": null,35   "host_organization_name": null,36   "host_organization_lineage": [],37   "host_organization_lineage_names": [],38   "type": "journal"39  },40  "license": "cc-by-nc-nd",41  "license_id": "https://openalex.org/licenses/cc-by-nc-nd",42  "version": "publishedVersion",43  "is_accepted": true,44  "is_published": true,45  "raw_source_name": "PLANNING MALAYSIA",46  "raw_type": "journal-article"47 },48 "volume": null,49 "type": "review",50 "indexed_in": [51  "crossref"52 ],53 "open_access": {54  "is_oa": true,55  "oa_status": "hybrid",56  "oa_url": "https://doi.org/10.21837/pm.v19i17.1018",57  "any_repository_has_fulltext": false58 },59 "authorships": [60  {61   "author_position": "first",62   "author": {63    "id": "https://openalex.org/A5046807178",64    "display_name": "Nur Shahirah Ja\u2019afar",65    "orcid": null,66    "observed_orcids": []67   },68   "institutions": [69    {70     "id": "https://openalex.org/I82724352",71     "display_name": "Universiti Teknologi MARA",72     "ror": "https://ror.org/05n8tts92",73     "country_code": "MY",74     "type": "education",75     "lineage": [76      "https://openalex.org/I82724352"77     ]78    }79   ],80   "countries": [81    "MY"82   ],83   "is_corresponding": false,84   "raw_author_name": "Nur Shahirah Ja\u2019afar",85   "raw_affiliation_strings": [86    "Faculty of Architecture, Planning and Surveying,\r\n\r\nUNIVERSITI TEKNOLOGI MARA",87    "Faculty of Architecture, Planning and Surveying,\n\nUNIVERSITI TEKNOLOGI MARA"88   ],89   "raw_orcid": null,90   "affiliations": [91    {92     "raw_affiliation_string": "Faculty of Architecture, Planning and Surveying,\r\n\r\nUNIVERSITI TEKNOLOGI MARA",93     "institution_ids": [94      "https://openalex.org/I82724352"95     ]96    },97    {98     "raw_affiliation_string": "Faculty of Architecture, Planning and Surveying,\n\nUNIVERSITI TEKNOLOGI MARA",99     "institution_ids": [100      "https://openalex.org/I82724352"101     ]102    }103   ]104  },105  {106   "author_position": "middle",107   "author": {108    "id": "https://openalex.org/A5008442163",109    "display_name": "Junainah Mohamad",110    "orcid": null,111    "observed_orcids": []112   },113   "institutions": [],114   "countries": [],115   "is_corresponding": false,116   "raw_author_name": "Junainah Mohamad",117   "raw_affiliation_strings": [118    "Department of Built Environment Studies & Technology,\r\n\r\nFaculty of Architecture, Planning and Surveying,\r\n\r\nUNIVERSITI TEKNOLOGI MARA PERAK BRANCH",119    "Department of Built Environment Studies & Technology,\n\nFaculty of Architecture, Planning and Surveying,\n\nUNIVERSITI TEKNOLOGI MARA PERAK BRANCH"120   ],121   "raw_orcid": null,122   "affiliations": [123    {124     "raw_affiliation_string": "Department of Built Environment Studies & Technology,\r\n\r\nFaculty of Architecture, Planning and Surveying,\r\n\r\nUNIVERSITI TEKNOLOGI MARA PERAK BRANCH",125     "institution_ids": []126    },127    {128     "raw_affiliation_string": "Department of Built Environment Studies & Technology,\n\nFaculty of Architecture, Planning and Surveying,\n\nUNIVERSITI TEKNOLOGI MARA PERAK BRANCH",129     "institution_ids": []130    }131   ]132  },133  {134   "author_position": "last",135   "author": {136    "id": "https://openalex.org/A5102293697",137    "display_name": "Suriatini Ismail",138    "orcid": null,139    "observed_orcids": []140   },141   "institutions": [142    {143     "id": "https://openalex.org/I226432",144     "display_name": "Universiti Malaysia Kelantan",145     "ror": "https://ror.org/0463y2v87",146     "country_code": "MY",147     "type": "education",148     "lineage": [149      "https://openalex.org/I226432"150     ]151    }152   ],153   "countries": [154    "MY"155   ],156   "is_corresponding": false,157   "raw_author_name": "Suriatini Ismail",158   "raw_affiliation_strings": [159    "Faculty of Architecture and Ekistics,\r\n\r\nUNIVERSITI MALAYSIA KELANTAN",160    "Faculty of Architecture and Ekistics,\n\nUNIVERSITI MALAYSIA KELANTAN"161   ],162   "raw_orcid": null,163   "affiliations": [164    {165     "raw_affiliation_string": "Faculty of Architecture and Ekistics,\r\n\r\nUNIVERSITI MALAYSIA KELANTAN",166     "institution_ids": [167      "https://openalex.org/I226432"168     ]169    },170    {171     "raw_affiliation_string": "Faculty of Architecture and Ekistics,\n\nUNIVERSITI MALAYSIA KELANTAN",172     "institution_ids": [173      "https://openalex.org/I226432"174     ]175    }176   ]177  }178 ],179 "institutions": [],180 "countries_distinct_count": 1,181 "institutions_distinct_count": 2,182 "corresponding_author_ids": [],183 "corresponding_institution_ids": [],184 "apc_list": null,185 "apc_paid": null,186 "fwci": 1.23,187 "has_fulltext": false,188 "cited_by_count": 38,189 "citation_normalized_percentile": {190  "value": 0.80586081,191  "is_in_top_1_percent": false,192  "is_in_top_10_percent": false193 },194 "cited_by_percentile_year": {195  "min": 88,196  "max": 99197 },198 "biblio": {199  "volume": "19",200  "issue": null,201  "first_page": null,202  "last_page": null203 },204 "is_retracted": false,205 "is_paratext": false,206 "is_xpac": false,207 "primary_topic": {208  "id": "https://openalex.org/T10632",209  "display_name": "Housing Market and Economics",210  "score": 0.9945999979972839,211  "subfield": {212   "id": "https://openalex.org/subfields/2002",213   "display_name": "Economics and Econometrics"214  },215  "field": {216   "id": "https://openalex.org/fields/20",217   "display_name": "Economics, Econometrics and Finance"218  },219  "domain": {220   "id": "https://openalex.org/domains/2",221   "display_name": "Social Sciences"222  }223 },224 "topics": [225  {226   "id": "https://openalex.org/T10632",227   "display_name": "Housing Market and Economics",228   "score": 0.9945999979972839,229   "subfield": {230    "id": "https://openalex.org/subfields/2002",231    "display_name": "Economics and Econometrics"232   },233   "field": {234    "id": "https://openalex.org/fields/20",235    "display_name": "Economics, Econometrics and Finance"236   },237   "domain": {238    "id": "https://openalex.org/domains/2",239    "display_name": "Social Sciences"240   }241  },242  {243   "id": "https://openalex.org/T13920",244   "display_name": "Urban Planning and Valuation",245   "score": 0.0013000000035390258,246   "subfield": {247    "id": "https://openalex.org/subfields/2308",248    "display_name": "Management, Monitoring, Policy and Law"249   },250   "field": {251    "id": "https://openalex.org/fields/23",252    "display_name": "Environmental Science"253   },254   "domain": {255    "id": "https://openalex.org/domains/3",256    "display_name": "Physical Sciences"257   }258  },259  {260   "id": "https://openalex.org/T11918",261   "display_name": "Forecasting Techniques and Applications",262   "score": 0.0008999999845400453,263   "subfield": {264    "id": "https://openalex.org/subfields/1803",265    "display_name": "Management Science and Operations Research"266   },267   "field": {268    "id": "https://openalex.org/fields/18",269    "display_name": "Decision Sciences"270   },271   "domain": {272    "id": "https://openalex.org/domains/2",273    "display_name": "Social Sciences"274   }275  }276 ],277 "keywords": [278  {279   "id": "https://openalex.org/keywords/property-price-prediction",280   "display_name": "property price prediction",281   "score": 0.9449999928474426282  },283  {284   "id": "https://openalex.org/keywords/property-valuation",285   "display_name": "property valuation",286   "score": 0.8960000276565552287  },288  {289   "id": "https://openalex.org/keywords/real-estate",290   "display_name": "real estate",291   "score": 0.6710000038146973292  },293  {294   "id": "https://openalex.org/keywords/machine-learning",295   "display_name": "machine learning",296   "score": 0.8339999914169312297  },298  {299   "id": "https://openalex.org/keywords/random-forest",300   "display_name": "random forest",301   "score": 0.9459999799728394302  },303  {304   "id": "https://openalex.org/keywords/housing-characteristics",305   "display_name": "housing characteristics",306   "score": 0.5720000267028809307  },308  {309   "id": "https://openalex.org/keywords/land-area",310   "display_name": "land area",311   "score": 0.6570000052452087312  },313  {314   "id": "https://openalex.org/keywords/location",315   "display_name": "location",316   "score": 0.5820000171661377317  }318 ],319 "concepts": [320  {321   "id": "https://openalex.org/C186027771",322   "wikidata": "https://www.wikidata.org/wiki/Q4008379",323   "display_name": "Valuation (finance)",324   "level": 2,325   "score": 0.794317364692688326  },327  {328   "id": "https://openalex.org/C82279013",329   "wikidata": "https://www.wikidata.org/wiki/Q684740",330   "display_name": "Real estate",331   "level": 2,332   "score": 0.7511013746261597333  },334  {335   "id": "https://openalex.org/C119857082",336   "wikidata": "https://www.wikidata.org/wiki/Q2539",337   "display_name": "Machine learning",338   "level": 1,339   "score": 0.7273650169372559340  },341  {342   "id": "https://openalex.org/C154945302",343   "wikidata": "https://www.wikidata.org/wiki/Q11660",344   "display_name": "Artificial intelligence",345   "level": 1,346   "score": 0.6793187260627747347  },348  {349   "id": "https://openalex.org/C41008148",350   "wikidata": "https://www.wikidata.org/wiki/Q21198",351   "display_name": "Computer science",352   "level": 0,353   "score": 0.6404678821563721354  },355  {356   "id": "https://openalex.org/C189950617",357   "wikidata": "https://www.wikidata.org/wiki/Q937228",358   "display_name": "Property (philosophy)",359   "level": 2,360   "score": 0.4138849675655365361  },362  {363   "id": "https://openalex.org/C169258074",364   "wikidata": "https://www.wikidata.org/wiki/Q245748",365   "display_name": "Random forest",366   "level": 2,367   "score": 0.41230183839797974368  },369  {370   "id": "https://openalex.org/C149782125",371   "wikidata": "https://www.wikidata.org/wiki/Q160039",372   "display_name": "Econometrics",373   "level": 1,374   "score": 0.3309246301651001375  },376  {377   "id": "https://openalex.org/C162324750",378   "wikidata": "https://www.wikidata.org/wiki/Q8134",379   "display_name": "Economics",380   "level": 0,381   "score": 0.20158427953720093382  },383  {384   "id": "https://openalex.org/C10138342",385   "wikidata": "https://www.wikidata.org/wiki/Q43015",386   "display_name": "Finance",387   "level": 1,388   "score": 0.12383326888084412389  },390  {391   "id": "https://openalex.org/C111472728",392   "wikidata": "https://www.wikidata.org/wiki/Q9471",393   "display_name": "Epistemology",394   "level": 1,395   "score": 0.0396  },397  {398   "id": "https://openalex.org/C138885662",399   "wikidata": "https://www.wikidata.org/wiki/Q5891",400   "display_name": "Philosophy",401   "level": 0,402   "score": 0.0403  }404 ],405 "mesh": [],406 "locations_count": 1,407 "locations": [408  {409   "id": "doi:10.21837/pm.v19i17.1018",410   "doi": "https://doi.org/10.21837/pm.v19i17.1018",411   "is_oa": true,412   "landing_page_url": "https://doi.org/10.21837/pm.v19i17.1018",413   "pdf_url": null,414   "source": {415    "id": "https://openalex.org/S2764548735",416    "display_name": "PLANNING MALAYSIA",417    "issn_l": "0128-0945",418    "issn": [419     "0128-0945",420     "1675-6215"421    ],422    "is_oa": false,423    "is_in_doaj": false,424    "is_core": false,425    "listed_in": [426     "norway-1"427    ],428    "host_organization": null,429    "host_organization_name": null,430    "host_organization_lineage": [],431    "host_organization_lineage_names": [],432    "type": "journal"433   },434   "license": "cc-by-nc-nd",435   "license_id": "https://openalex.org/licenses/cc-by-nc-nd",436   "version": "publishedVersion",437   "is_accepted": true,438   "is_published": true,439   "raw_source_name": "PLANNING MALAYSIA",440   "raw_type": "journal-article"441  }442 ],443 "best_oa_location": {444  "id": "doi:10.21837/pm.v19i17.1018",445  "doi": "https://doi.org/10.21837/pm.v19i17.1018",446  "is_oa": true,447  "landing_page_url": "https://doi.org/10.21837/pm.v19i17.1018",448  "pdf_url": null,449  "source": {450   "id": "https://openalex.org/S2764548735",451   "display_name": "PLANNING MALAYSIA",452   "issn_l": "0128-0945",453   "issn": [454    "0128-0945",455    "1675-6215"456   ],457   "is_oa": false,458   "is_in_doaj": false,459   "is_core": false,460   "listed_in": [461    "norway-1"462   ],463   "host_organization": null,464   "host_organization_name": null,465   "host_organization_lineage": [],466   "host_organization_lineage_names": [],467   "type": "journal"468  },469  "license": "cc-by-nc-nd",470  "license_id": "https://openalex.org/licenses/cc-by-nc-nd",471  "version": "publishedVersion",472  "is_accepted": true,473  "is_published": true,474  "raw_source_name": "PLANNING MALAYSIA",475  "raw_type": "journal-article"476 },477 "sustainable_development_goals": [],478 "sustainable_development_goals_aurora": [],479 "study_designs": [480  {481   "display_name": "Systematic Review",482   "id": "https://openalex.org/study-designs/systematic-review"483  }484 ],485 "awards": [],486 "funders": [],487 "has_content": {488  "grobid_xml": false,489  "pdf": false490 },491 "content_urls": null,492 "referenced_works_count": 28,493 "referenced_works": [494  "https://openalex.org/W1567221858",495  "https://openalex.org/W1901616594",496  "https://openalex.org/W2029242491",497  "https://openalex.org/W2067141068",498  "https://openalex.org/W2082642737",499  "https://openalex.org/W2219194371",500  "https://openalex.org/W2251575556",501  "https://openalex.org/W2371638596",502  "https://openalex.org/W2461397990",503  "https://openalex.org/W2555070823",504  "https://openalex.org/W2585575883",505  "https://openalex.org/W2742747496",506  "https://openalex.org/W2765508957",507  "https://openalex.org/W2775204485",508  "https://openalex.org/W2784316963",509  "https://openalex.org/W2796818356",510  "https://openalex.org/W2801461565",511  "https://openalex.org/W2892346020",512  "https://openalex.org/W2892821018",513  "https://openalex.org/W2910451380",514  "https://openalex.org/W2913543033",515  "https://openalex.org/W2913997948",516  "https://openalex.org/W2922234936",517  "https://openalex.org/W2944336015",518  "https://openalex.org/W2978523049",519  "https://openalex.org/W3146142859",520  "https://openalex.org/W3148114320",521  "https://openalex.org/W3184545068"522 ],523 "related_works": [524  "https://openalex.org/W3193043704",525  "https://openalex.org/W4386259002",526  "https://openalex.org/W1546989560",527  "https://openalex.org/W3171520305",528  "https://openalex.org/W1924178503",529  "https://openalex.org/W4308716060",530  "https://openalex.org/W4280648719",531  "https://openalex.org/W3135126032",532  "https://openalex.org/W2746043536",533  "https://openalex.org/W610585721"534 ],535 "abstract_inverted_index": {536  "Machine": [537   0538  ],539  "learning": [540   1,541   42,542   83,543   122,544   143,545   168546  ],547  "is": [548   2,549   171550  ],551  "a": [552   3553  ],554  "branch": [555   4556  ],557  "of": [558   5,559   40,560   81,561   106,562   156563  ],564  "artificial": [565   6566  ],567  "intelligence": [568   7569  ],570  "that": [571   8,572   61,573   119,574   175575  ],576  "allows": [577   9578  ],579  "software": [580   10581  ],582  "applications": [583   11584  ],585  "to": [586   12,587   23,588   51,589   65,590   115,591   179592  ],593  "be": [594   13,595   63596  ],597  "more": [598   14599  ],600  "accurate": [601   15602  ],603  "in": [604   16,605   55,606   68,607   84,608   92,609   126,610   159611  ],612  "its": [613   17,614   98615  ],616  "data": [617   18,618   181619  ],620  "predicting,": [621   19622  ],623  "as": [624   20,625   22,626   101,627   123628  ],629  "well": [630   21631  ],632  "predict": [633   24634  ],635  "current": [636   25637  ],638  "performance": [639   26640  ],641  "and": [642   27,643   47,644   108,645   128,646   138647  ],648  "improve": [649   28650  ],651  "for": [652   29,653   44654  ],655  "future": [656   30657  ],658  "data.": [659   31660  ],661  "This": [662   32,663   74664  ],665  "study": [666   33,667   75668  ],669  "reviews": [670   34671  ],672  "published": [673   35674  ],675  "articles": [676   36677  ],678  "with": [679   37680  ],681  "the": [682   38,683   57,684   66,685   70,686   79,687   89,688   153,689   160,690   172,691   180692  ],693  "application": [694   39695  ],696  "machine": [697   41,698   82,699   121,700   142,701   167702  ],703  "techniques": [704   43,705   144706  ],707  "price": [708   45,709   59,710   136,711   139712  ],713  "prediction": [714   46,715   137716  ],717  "valuation.": [718   48719  ],720  "Authors": [721   49722  ],723  "seek": [724   50725  ],726  "explore": [727   52728  ],729  "optimal": [730   53731  ],732  "solutions": [733   54734  ],735  "predicting": [736   56,737   93,738   127739  ],740  "property": [741   58,742   85,743   94,744   130745  ],746  "indices,": [747   60748  ],749  "will": [750   62751  ],752  "beneficial": [753   64754  ],755  "policymakers": [756   67757  ],758  "assessing": [759   69760  ],761  "overall": [762   71763  ],764  "economic": [765   72766  ],767  "situation.": [768   73,769   182770  ],771  "also": [772   76773  ],774  "looks": [775   77776  ],777  "into": [778   78779  ],780  "use": [781   80,782   155783  ],784  "valuation": [785   86,786   140787  ],788  "towards": [789   87790  ],791  "identifying": [792   88793  ],794  "best": [795   90796  ],797  "model": [798   91799  ],800  "values": [801   95802  ],803  "based": [804   96805  ],806  "on": [807   97,808   133809  ],810  "characteristics": [811   99812  ],813  "such": [814   100815  ],816  "location,": [817   102818  ],819  "land": [820   103821  ],822  "size,": [823   104824  ],825  "number": [826   105827  ],828  "rooms": [829   107830  ],831  "others.": [832   109833  ],834  "A": [835   110836  ],837  "systematic": [838   111839  ],840  "review": [841   112,842   116843  ],844  "was": [845   113846  ],847  "conducted": [848   114849  ],850  "previous": [851   117852  ],853  "studies": [854   118855  ],856  "imposed": [857   120858  ],859  "statistical": [860   124861  ],862  "tool": [863   125864  ],865  "valuing": [866   129867  ],868  "prices.": [869   131870  ],871  "Articles": [872   132873  ],874  "real": [875   134,876   161877  ],878  "estate": [879   135,880   162881  ],882  "using": [883   141,884   147885  ],886  "were": [887   145888  ],889  "observed": [890   146891  ],892  "electronics": [893   148894  ],895  "database.": [896   149897  ],898  "The": [899   150,900   164901  ],902  "finding": [903   151904  ],905  "shows": [906   152907  ],908  "increasing": [909   154910  ],911  "this": [912   157913  ],914  "method": [915   158916  ],917  "field.": [918   163919  ],920  "most": [921   165922  ],923  "successful": [924   166925  ],926  "algorithms": [927   169928  ],929  "used": [930   170931  ],932  "Random": [933   173934  ],935  "Forest": [936   174937  ],938  "has": [939   176940  ],941  "better": [942   177943  ],944  "compatibility": [945   178946  ]947 },948 "counts_by_year": [949  {950   "year": 2026,951   "cited_by_count": 5952  },953  {954   "year": 2025,955   "cited_by_count": 11956  },957  {958   "year": 2024,959   "cited_by_count": 9960  },961  {962   "year": 2023,963   "cited_by_count": 8964  },965  {966   "year": 2022,967   "cited_by_count": 4968  },969  {970   "year": 2021,971   "cited_by_count": 1972  }973 ],974 "updated_date": "2026-09-26T08:19:03.415552",975 "created_date": "2025-10-10T00:00:00"976}