{"id":"https://openalex.org/W2803165908","doi":"https://doi.org/10.1007/s12083-018-0650-4","title":"Optimized peer to peer QSPR prediction of enthalpy of formation using outlier detection and subset selection","display_name":"Optimized peer to peer QSPR prediction of enthalpy of formation using outlier detection and subset selection","publication_year":2018,"publication_date":"2018-05-14","ids":{"openalex":"https://openalex.org/W2803165908","doi":"https://doi.org/10.1007/s12083-018-0650-4","mag":"2803165908"},"language":"en","primary_location":{"id":"doi:10.1007/s12083-018-0650-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12083-018-0650-4","pdf_url":null,"source":{"id":"https://openalex.org/S177487720","display_name":"Peer-to-Peer Networking and Applications","issn_l":"1936-6442","issn":["1936-6442","1936-6450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Peer-to-Peer Networking and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022004626","display_name":"B. Firdaus Begam","orcid":"https://orcid.org/0000-0003-1387-8587"},"institutions":[{"id":"https://openalex.org/I111575329","display_name":"Bharathiar University","ror":"https://ror.org/04fht8c22","country_code":"IN","type":"education","lineage":["https://openalex.org/I111575329"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Firdaus Begam","raw_affiliation_strings":["Department of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, Tamil Nadu, India","Department of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I111575329"]},{"raw_affiliation_string":"Department of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, India","institution_ids":["https://openalex.org/I111575329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111999541","display_name":"J. Satheesh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I111575329","display_name":"Bharathiar University","ror":"https://ror.org/04fht8c22","country_code":"IN","type":"education","lineage":["https://openalex.org/I111575329"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. Satheesh Kumar","raw_affiliation_strings":["Department of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, Tamil Nadu, India","Department of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I111575329"]},{"raw_affiliation_string":"Department of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, India","institution_ids":["https://openalex.org/I111575329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057714218","display_name":"Gyoo\u2010Soo Chae","orcid":"https://orcid.org/0000-0002-4592-8895"},"institutions":[{"id":"https://openalex.org/I35919505","display_name":"Baekseok University","ror":"https://ror.org/045qyjz25","country_code":"KR","type":"education","lineage":["https://openalex.org/I35919505"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gyoo-Soo Chae","raw_affiliation_strings":["Division of Information and Communication, Baekseok University, Cheonan, South Korea"],"affiliations":[{"raw_affiliation_string":"Division of Information and Communication, Baekseok University, Cheonan, South Korea","institution_ids":["https://openalex.org/I35919505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111999541"],"corresponding_institution_ids":["https://openalex.org/I111575329"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":0.4266,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64250735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":"6","first_page":"1156","last_page":"1165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantitative-structure\u2013activity-relationship","display_name":"Quantitative structure\u2013activity relationship","score":0.7957024574279785},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6901574730873108},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.648700475692749},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.567791759967804},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4729321300983429},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.46013039350509644},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.45097655057907104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44326266646385193},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44111382961273193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42358285188674927},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41945821046829224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3923179805278778},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3922611474990845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3832952082157135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29941117763519287},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27961504459381104}],"concepts":[{"id":"https://openalex.org/C164126121","wikidata":"https://www.wikidata.org/wiki/Q766383","display_name":"Quantitative structure\u2013activity relationship","level":2,"score":0.7957024574279785},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6901574730873108},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.648700475692749},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.567791759967804},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4729321300983429},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.46013039350509644},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.45097655057907104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44326266646385193},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44111382961273193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42358285188674927},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41945821046829224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3923179805278778},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3922611474990845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3832952082157135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29941117763519287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27961504459381104},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12083-018-0650-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12083-018-0650-4","pdf_url":null,"source":{"id":"https://openalex.org/S177487720","display_name":"Peer-to-Peer Networking and Applications","issn_l":"1936-6442","issn":["1936-6442","1936-6450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Peer-to-Peer Networking and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W87385624","https://openalex.org/W560846839","https://openalex.org/W1570419641","https://openalex.org/W1977009069","https://openalex.org/W1982064167","https://openalex.org/W1982985811","https://openalex.org/W1993054314","https://openalex.org/W2002100157","https://openalex.org/W2003011946","https://openalex.org/W2008898315","https://openalex.org/W2018991096","https://openalex.org/W2028403663","https://openalex.org/W2031879369","https://openalex.org/W2043757580","https://openalex.org/W2054113176","https://openalex.org/W2055841185","https://openalex.org/W2059687940","https://openalex.org/W2073503722","https://openalex.org/W2104556707","https://openalex.org/W2116401597","https://openalex.org/W2118237959","https://openalex.org/W4285719527","https://openalex.org/W6819791599","https://openalex.org/W6833178388"],"related_works":["https://openalex.org/W2468593193","https://openalex.org/W2981666789","https://openalex.org/W1966115210","https://openalex.org/W2042294628","https://openalex.org/W2267583040","https://openalex.org/W2013293448","https://openalex.org/W2770989956","https://openalex.org/W2124794399","https://openalex.org/W4229916583","https://openalex.org/W1989457222"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}