Publication Information

{'id': 'https://openalex.org/W2033939734', 'doi': 'https://doi.org/10.1615/jautomatinfscien.v40.i3.40', 'title': 'Study of Impact of Data Sampling Division upon the Accuracy of Simulation by the GMDH Algorithms', 'display_name': 'Study of Impact of Data Sampling Division upon the Accuracy of Simulation by the GMDH Algorithms', 'publication_year': 2008, 'publication_date': '2008-01-01', 'ids': {'openalex': 'https://openalex.org/W2033939734', 'doi': 'https://doi.org/10.1615/jautomatinfscien.v40.i3.40', 'mag': '2033939734'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1615/jautomatinfscien.v40.i3.40', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S75286078', 'display_name': 'Journal of Automation and Information Sciences', 'issn_l': '1064-2315', 'issn': ['1064-2315', '2163-9337'], 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4310315730', 'host_organization_name': 'Begell House', 'host_organization_lineage': ['https://openalex.org/P4310315730'], 'host_organization_lineage_names': ['Begell House'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5103625600', 'display_name': 'Nina V. Kondrashova', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I1316184350', 'display_name': 'Ministry of Education and Science', 'ror': 'https://ror.org/03bra4w96', 'country_code': 'UA', 'type': 'government', 'lineage': ['https://openalex.org/I1316184350']}, {'id': 'https://openalex.org/I149851306', 'display_name': 'National Academy of Sciences of Ukraine', 'ror': 'https://ror.org/00je4t102', 'country_code': 'UA', 'type': 'government', 'lineage': ['https://openalex.org/I149851306']}], 'countries': ['UA'], 'is_corresponding': True, 'raw_author_name': 'Nina V. Kondrashova', 'raw_affiliation_strings': ['International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev, Ukraine'], 'affiliations': [{'raw_affiliation_string': 'International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev, Ukraine', 'institution_ids': ['https://openalex.org/I1316184350', 'https://openalex.org/I149851306']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': ['https://openalex.org/A5103625600'], 'corresponding_institution_ids': ['https://openalex.org/I1316184350', 'https://openalex.org/I149851306'], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 0, 'citation_normalized_percentile': {'value': 0.0, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 0, 'max': 63}, 'biblio': {'volume': '40', 'issue': '3', 'first_page': '35', 'last_page': '46'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T14351', 'display_name': 'Statistical and Computational Modeling', 'score': 0.9954, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, '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/T14351', 'display_name': 'Statistical and Computational Modeling', 'score': 0.9954, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, '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/T13732', 'display_name': 'Aerospace, Electronics, Mathematical Modeling', 'score': 0.9326, 'subfield': {'id': 'https://openalex.org/subfields/2309', 'display_name': 'Nature and Landscape Conservation'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/division-algorithm', 'display_name': 'Division algorithm', 'score': 0.61250865}, {'id': 'https://openalex.org/keywords/sample', 'display_name': 'Sample (material)', 'score': 0.43030187}], 'concepts': [{'id': 'https://openalex.org/C60798267', 'wikidata': 'https://www.wikidata.org/wiki/Q1226939', 'display_name': 'Division (mathematics)', 'level': 2, 'score': 0.94637036}, {'id': 'https://openalex.org/C132459708', 'wikidata': 'https://www.wikidata.org/wiki/Q744069', 'display_name': 'Extrapolation', 'level': 2, 'score': 0.9292646}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.7176918}, {'id': 'https://openalex.org/C190715199', 'wikidata': 'https://www.wikidata.org/wiki/Q3526714', 'display_name': 'Division algorithm', 'level': 3, 'score': 0.61250865}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.6001755}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.5518103}, {'id': 'https://openalex.org/C13926793', 'wikidata': 'https://www.wikidata.org/wiki/Q3507155', 'display_name': 'Group method of data handling', 'level': 2, 'score': 0.46429026}, {'id': 'https://openalex.org/C198531522', 'wikidata': 'https://www.wikidata.org/wiki/Q485146', 'display_name': 'Sample (material)', 'level': 2, 'score': 0.43030187}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.35701412}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.30540615}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.25969088}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.23523241}, {'id': 'https://openalex.org/C94375191', 'wikidata': 'https://www.wikidata.org/wiki/Q11205', 'display_name': 'Arithmetic', 'level': 1, 'score': 0.11580914}, {'id': 'https://openalex.org/C76155785', 'wikidata': 'https://www.wikidata.org/wiki/Q418', 'display_name': 'Telecommunications', 'level': 1, 'score': 0.107694}, {'id': 'https://openalex.org/C185592680', 'wikidata': 'https://www.wikidata.org/wiki/Q2329', 'display_name': 'Chemistry', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C43617362', 'wikidata': 'https://www.wikidata.org/wiki/Q170050', 'display_name': 'Chromatography', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C94915269', 'wikidata': 'https://www.wikidata.org/wiki/Q1834857', 'display_name': 'Detector', 'level': 2, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1615/jautomatinfscien.v40.i3.40', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S75286078', 'display_name': 'Journal of Automation and Information Sciences', 'issn_l': '1064-2315', 'issn': ['1064-2315', '2163-9337'], 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4310315730', 'host_organization_name': 'Begell House', 'host_organization_lineage': ['https://openalex.org/P4310315730'], 'host_organization_lineage_names': ['Begell House'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W4225492784', 'https://openalex.org/W243046325', 'https://openalex.org/W2420477268', 'https://openalex.org/W2388178587', 'https://openalex.org/W2162724120', 'https://openalex.org/W2094996819', 'https://openalex.org/W2033939734', 'https://openalex.org/W1977244761', 'https://openalex.org/W1618607655', 'https://openalex.org/W1601585824'], 'abstract_inverted_index': {'Division': [0], 'of': [1, 21, 26, 39, 53, 61, 76, 79], 'a': [2, 36, 68], 'sample': [3], 'and': [4, 29, 56, 71], 'the': [5, 8, 19, 51, 54, 62, 91], 'criteria': [6], 'for': [7, 86], 'best': [9], 'division': [10, 23, 70, 80], 'are': [11], 'important': [12], 'elements': [13], 'in': [14, 24, 42], 'GMDH': [15], 'algorithms.': [16], 'We': [17], 'consider': [18], 'efficiency': [20], 'sampling': [22], 'problems': [25], 'approximation,': [27], 'extrapolation': [28, 55], 'forecasting.': [30, 57], 'Main': [31], 'attention': [32], 'is': [33, 47, 64], 'paid': [34], 'to': [35, 49, 82, 90], 'quasioptimal': [37, 69], 'method': [38], 'division,': [40], 'which': [41], 'combination': [43], 'with': [44], 'other': [45], 'methods': [46, 78], 'able': [48], 'increase': [50], 'accuracy': [52, 60], 'The': [58, 74], 'highest': [59], 'models': [63], 'achieved': [65], 'by': [66], 'joining': [67], 'adaptive': [72], 'prediction.': [73], 'use': [75], 'multiple': [77], 'allows': [81], 'choose': [83], 'appropriate': [84], 'technology': [85], 'each': [87], 'problem': [88], 'according': [89], 'particular': [92], 'object': [93], 'one.': [94]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2033939734', 'counts_by_year': [], 'updated_date': '2024-12-11T22:35:22.855261', 'created_date': '2016-06-24'}