Publication Information

{'id': 'https://openalex.org/W4206186921', 'doi': 'https://doi.org/10.1109/bigdata52589.2021.9671839', 'title': 'Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional Data', 'display_name': 'Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional Data', 'publication_year': 2021, 'publication_date': '2021-12-15', 'ids': {'openalex': 'https://openalex.org/W4206186921', 'doi': 'https://doi.org/10.1109/bigdata52589.2021.9671839'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/bigdata52589.2021.9671839', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363607718', 'display_name': '2021 IEEE International Conference on Big Data (Big Data)', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-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/A5029813989', 'display_name': 'Rishi R. Verma', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I63135867', 'display_name': 'University of Cincinnati', 'ror': 'https://ror.org/01e3m7079', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I63135867']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Rishi R. Verma', 'raw_affiliation_strings': ['University of Cincinnati,Dept. of EECS,Cincinnati,OH,USA,45221'], 'affiliations': [{'raw_affiliation_string': 'University of Cincinnati,Dept. of EECS,Cincinnati,OH,USA,45221', 'institution_ids': ['https://openalex.org/I63135867']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5053803135', 'display_name': 'Nicholas O. Malott', 'orcid': 'https://orcid.org/0000-0003-3848-4381'}, 'institutions': [{'id': 'https://openalex.org/I63135867', 'display_name': 'University of Cincinnati', 'ror': 'https://ror.org/01e3m7079', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I63135867']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Nicholas O. Malott', 'raw_affiliation_strings': ['University of Cincinnati,Dept. of EECS,Cincinnati,OH,USA,45221'], 'affiliations': [{'raw_affiliation_string': 'University of Cincinnati,Dept. of EECS,Cincinnati,OH,USA,45221', 'institution_ids': ['https://openalex.org/I63135867']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5011672232', 'display_name': 'Philip A. Wilsey', 'orcid': 'https://orcid.org/0000-0002-6562-8646'}, 'institutions': [{'id': 'https://openalex.org/I63135867', 'display_name': 'University of Cincinnati', 'ror': 'https://ror.org/01e3m7079', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I63135867']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Philip A. Wilsey', 'raw_affiliation_strings': ['University of Cincinnati,Dept. of EECS,Cincinnati,OH,USA,45221'], 'affiliations': [{'raw_affiliation_string': 'University of Cincinnati,Dept. of EECS,Cincinnati,OH,USA,45221', 'institution_ids': ['https://openalex.org/I63135867']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 1.32, 'has_fulltext': False, 'cited_by_count': 4, 'citation_normalized_percentile': {'value': 0.853816, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 76, 'max': 79}, 'biblio': {'volume': None, 'issue': None, 'first_page': '3860', 'last_page': '3864'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T12536', 'display_name': 'Topological and Geometric Data Analysis', '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/T12536', 'display_name': 'Topological and Geometric Data Analysis', '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/T11266', 'display_name': 'Neuroinflammation and Neurodegeneration Mechanisms', 'score': 0.9514, 'subfield': {'id': 'https://openalex.org/subfields/2808', 'display_name': 'Neurology'}, 'field': {'id': 'https://openalex.org/fields/28', 'display_name': 'Neuroscience'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}, {'id': 'https://openalex.org/T10896', 'display_name': 'Homotopy and Cohomology in Algebraic Topology', 'score': 0.9483, 'subfield': {'id': 'https://openalex.org/subfields/2610', 'display_name': 'Mathematical Physics'}, 'field': {'id': 'https://openalex.org/fields/26', 'display_name': 'Mathematics'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/topological-data-analysis', 'display_name': 'Topological data analysis', 'score': 0.84412396}, {'id': 'https://openalex.org/keywords/homology', 'display_name': 'Homology', 'score': 0.7876115}, {'id': 'https://openalex.org/keywords/persistent-homology', 'display_name': 'Persistent Homology', 'score': 0.75931394}], 'concepts': [{'id': 'https://openalex.org/C2776477805', 'wikidata': 'https://www.wikidata.org/wiki/Q4460773', 'display_name': 'Topological data analysis', 'level': 2, 'score': 0.84412396}, {'id': 'https://openalex.org/C165525559', 'wikidata': 'https://www.wikidata.org/wiki/Q224180', 'display_name': 'Homology (biology)', 'level': 3, 'score': 0.7876115}, {'id': 'https://openalex.org/C2874115', 'wikidata': 'https://www.wikidata.org/wiki/Q17099562', 'display_name': 'Persistent homology', 'level': 2, 'score': 0.75931394}, {'id': 'https://openalex.org/C139962677', 'wikidata': 'https://www.wikidata.org/wiki/Q1095056', 'display_name': 'Singular homology', 'level': 3, 'score': 0.5863875}, {'id': 'https://openalex.org/C48044578', 'wikidata': 'https://www.wikidata.org/wiki/Q727490', 'display_name': 'Scalability', 'level': 2, 'score': 0.48938245}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.44468865}, {'id': 'https://openalex.org/C70518039', 'wikidata': 'https://www.wikidata.org/wiki/Q16000077', 'display_name': 'Dimensionality reduction', 'level': 2, 'score': 0.41750547}, {'id': 'https://openalex.org/C184720557', 'wikidata': 'https://www.wikidata.org/wiki/Q7825049', 'display_name': 'Topology (electrical circuits)', 'level': 2, 'score': 0.38454825}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.36148536}, {'id': 'https://openalex.org/C70721500', 'wikidata': 'https://www.wikidata.org/wiki/Q177005', 'display_name': 'Computational biology', 'level': 1, 'score': 0.3336618}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.29536408}, {'id': 'https://openalex.org/C114614502', 'wikidata': 'https://www.wikidata.org/wiki/Q76592', 'display_name': 'Combinatorics', 'level': 1, 'score': 0.27176365}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.26672643}, {'id': 'https://openalex.org/C86803240', 'wikidata': 'https://www.wikidata.org/wiki/Q420', 'display_name': 'Biology', 'level': 0, 'score': 0.2461518}, {'id': 'https://openalex.org/C54355233', 'wikidata': 'https://www.wikidata.org/wiki/Q7162', 'display_name': 'Genetics', 'level': 1, 'score': 0.12619886}, {'id': 'https://openalex.org/C77088390', 'wikidata': 'https://www.wikidata.org/wiki/Q8513', 'display_name': 'Database', 'level': 1, 'score': 0.08525252}, {'id': 'https://openalex.org/C104317684', 'wikidata': 'https://www.wikidata.org/wiki/Q7187', 'display_name': 'Gene', 'level': 2, 'score': 0.06861794}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/bigdata52589.2021.9671839', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363607718', 'display_name': '2021 IEEE International Conference on Big Data (Big Data)', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [{'funder': 'https://openalex.org/F4320306076', 'funder_display_name': 'National Science Foundation', 'award_id': None}], 'datasets': [], 'versions': [], 'referenced_works_count': 43, 'referenced_works': ['https://openalex.org/W1486210143', 'https://openalex.org/W1525621829', 'https://openalex.org/W1582500501', 'https://openalex.org/W1753705553', 'https://openalex.org/W1839682376', 'https://openalex.org/W1842708415', 'https://openalex.org/W1965706831', 'https://openalex.org/W1979273469', 'https://openalex.org/W1991566301', 'https://openalex.org/W1995627295', 'https://openalex.org/W2018345399', 'https://openalex.org/W2021125686', 'https://openalex.org/W2025684046', 'https://openalex.org/W2026940923', 'https://openalex.org/W2097749765', 'https://openalex.org/W2102692026', 'https://openalex.org/W2104339857', 'https://openalex.org/W2107385756', 'https://openalex.org/W2124338751', 'https://openalex.org/W2148676644', 'https://openalex.org/W2154187696', 'https://openalex.org/W2187925611', 'https://openalex.org/W2251581759', 'https://openalex.org/W2474744642', 'https://openalex.org/W2481594651', 'https://openalex.org/W2528348661', 'https://openalex.org/W2593124839', 'https://openalex.org/W2888976383', 'https://openalex.org/W2912764462', 'https://openalex.org/W3094534563', 'https://openalex.org/W3098455240', 'https://openalex.org/W3103629626', 'https://openalex.org/W3114792777', 'https://openalex.org/W3123784055', 'https://openalex.org/W3130145619', 'https://openalex.org/W3137290046', 'https://openalex.org/W3140579943', 'https://openalex.org/W3175762873', 'https://openalex.org/W3205972864', 'https://openalex.org/W4233690291', 'https://openalex.org/W4241752267', 'https://openalex.org/W4301143711', 'https://openalex.org/W4360887047'], 'related_works': ['https://openalex.org/W4388682440', 'https://openalex.org/W4365816610', 'https://openalex.org/W4360887047', 'https://openalex.org/W4319585872', 'https://openalex.org/W4206186921', 'https://openalex.org/W3214553362', 'https://openalex.org/W3162517897', 'https://openalex.org/W2963684499', 'https://openalex.org/W2461420605', 'https://openalex.org/W2405964180'], 'abstract_inverted_index': {'Persistent': [0], 'Homology': [1], '(PH)': [2], 'is': [3, 7, 104, 107], 'computationally': [4], 'expensive': [5], 'and': [6, 20, 49, 61, 115], 'thus': [8], 'generally': [9], 'employed': [10], 'with': [11, 30, 40, 44, 82], 'strict': [12], 'limits': [13], 'on': [14], 'the': [15, 59, 86, 97, 118, 125], '(i)': [16], 'maximum': [17], 'connectivity': [18], 'distance': [19], '(ii)': [21], 'dimensions': [22], 'of': [23, 63, 65, 124], 'homology': [24, 54, 89], 'groups': [25, 90], 'to': [26, 75, 84, 109], 'compute': [27], '(unless': [28], 'working': [29], 'trivially': [31], 'small': [32], 'data': [33, 66, 127], 'sets).': [34], 'As': [35], 'a': [36, 100, 121], 'result,': [37], 'most': [38], 'studies': [39], 'PH': [41, 83], 'only': [42, 96], 'work': [43], 'H': [45, 50], '<inf': [46, 51], 'xmlns:mml="http://www.w3.org/1998/Math/MathML"': [47, 52], 'xmlns:xlink="http://www.w3.org/1999/xlink">0</inf>': [48], 'xmlns:xlink="http://www.w3.org/1999/xlink">1</inf>': [53], 'groups.': [55], 'This': [56], 'paper': [57], 'examines': [58], 'identification': [60], 'isolation': [62], 'regions': [64, 79], 'sets': [67], 'where': [68], 'high': [69, 87, 111], 'dimensional': [70, 88], 'topological': [71, 102], 'features': [72], 'are': [73, 80], 'suspected': [74, 101], 'be': [76], 'located.': [77], 'These': [78], 'analyzed': [81], 'characterize': [85], 'contained': [91], 'in': [92], 'that': [93], 'region.': [94], 'Since': [95], 'region': [98], 'around': [99], 'feature': [103], 'analyzed,': [105], 'it': [106], 'possible': [108], 'identify': [110], 'dimension': [112], 'homologies': [113], 'piecewise': [114], 'then': [116], 'assemble': [117], 'results': [119], 'into': [120], 'scalable': [122], 'characterization': [123], 'original': [126], 'set.': [128]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4206186921', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2023, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 2}], 'updated_date': '2024-12-09T11:24:00.180033', 'created_date': '2022-01-26'}