Publication Information

{'id': 'https://openalex.org/W2141685271', 'doi': 'https://doi.org/10.1109/icdm.2008.24', 'title': 'Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State', 'display_name': 'Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State', 'publication_year': 2008, 'publication_date': '2008-12-01', 'ids': {'openalex': 'https://openalex.org/W2141685271', 'doi': 'https://doi.org/10.1109/icdm.2008.24', 'mag': '2141685271'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icdm.2008.24', 'pdf_url': None, 'source': None, '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/A5028384432', 'display_name': 'Tian-Bing Xu', 'orcid': 'https://orcid.org/0000-0002-3375-3653'}, 'institutions': [{'id': 'https://openalex.org/I123946342', 'display_name': 'Binghamton University', 'ror': 'https://ror.org/008rmbt77', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I123946342']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'None Tianbing Xu', 'raw_affiliation_strings': ['Dept. of Computer Science, State Univ. of New York at Binghamton, Binghamton, NY#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Dept. of Computer Science, State Univ. of New York at Binghamton, Binghamton, NY#TAB#', 'institution_ids': ['https://openalex.org/I123946342']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5036747535', 'display_name': 'Zhongfei Zhang', 'orcid': 'https://orcid.org/0000-0001-5098-2506'}, 'institutions': [{'id': 'https://openalex.org/I123946342', 'display_name': 'Binghamton University', 'ror': 'https://ror.org/008rmbt77', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I123946342']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'None Zhongfei Zhang', 'raw_affiliation_strings': ['Dept. of Computer Science, State Univ. of New York at Binghamton, Binghamton, NY#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Dept. of Computer Science, State Univ. of New York at Binghamton, Binghamton, NY#TAB#', 'institution_ids': ['https://openalex.org/I123946342']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5036357902', 'display_name': 'Philip S. Yu', 'orcid': 'https://orcid.org/0000-0002-3491-5968'}, 'institutions': [{'id': 'https://openalex.org/I39422238', 'display_name': 'University of Illinois Chicago', 'ror': 'https://ror.org/02mpq6x41', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I39422238']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'P.S. Yu', 'raw_affiliation_strings': ['Department of Computer Science, University of Illinois at Chicago, Chicago IL#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer Science, University of Illinois at Chicago, Chicago IL#TAB#', 'institution_ids': ['https://openalex.org/I39422238']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5101920986', 'display_name': 'Bo Long', 'orcid': 'https://orcid.org/0000-0001-5129-8546'}, 'institutions': [{'id': 'https://openalex.org/I123946342', 'display_name': 'Binghamton University', 'ror': 'https://ror.org/008rmbt77', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I123946342']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'B. Long', 'raw_affiliation_strings': ['Dept. of Computer Science, State Univ. of New York at Binghamton, Binghamton, NY#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Dept. of Computer Science, State Univ. of New York at Binghamton, Binghamton, NY#TAB#', 'institution_ids': ['https://openalex.org/I123946342']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 3.318, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 60, 'citation_normalized_percentile': {'value': 0.954948, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 95, 'max': 96}, 'biblio': {'volume': None, 'issue': None, 'first_page': '658', 'last_page': '667'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11901', 'display_name': 'Bayesian Methods and Mixture Models', 'score': 0.9996, '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/T11901', 'display_name': 'Bayesian Methods and Mixture Models', 'score': 0.9996, '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/T10064', 'display_name': 'Complex Network Analysis Techniques', 'score': 0.9945, 'subfield': {'id': 'https://openalex.org/subfields/3109', 'display_name': 'Statistical and Nonlinear Physics'}, 'field': {'id': 'https://openalex.org/fields/31', 'display_name': 'Physics and Astronomy'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10637', 'display_name': 'Advanced Clustering Algorithms Research', 'score': 0.9879, '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'}}], 'keywords': [{'id': 'https://openalex.org/keywords/hierarchical-dirichlet-process', 'display_name': 'Hierarchical Dirichlet process', 'score': 0.9043595}, {'id': 'https://openalex.org/keywords/hierarchical-clustering', 'display_name': 'Hierarchical clustering', 'score': 0.57378685}], 'concepts': [{'id': 'https://openalex.org/C141318989', 'wikidata': 'https://www.wikidata.org/wiki/Q5753066', 'display_name': 'Hierarchical Dirichlet process', 'level': 4, 'score': 0.9043595}, {'id': 'https://openalex.org/C73555534', 'wikidata': 'https://www.wikidata.org/wiki/Q622825', 'display_name': 'Cluster analysis', 'level': 2, 'score': 0.7280884}, {'id': 'https://openalex.org/C23224414', 'wikidata': 'https://www.wikidata.org/wiki/Q176769', 'display_name': 'Hidden Markov model', 'level': 2, 'score': 0.68705326}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.6632371}, {'id': 'https://openalex.org/C92835128', 'wikidata': 'https://www.wikidata.org/wiki/Q1277447', 'display_name': 'Hierarchical clustering', 'level': 3, 'score': 0.57378685}, {'id': 'https://openalex.org/C98763669', 'wikidata': 'https://www.wikidata.org/wiki/Q176645', 'display_name': 'Markov chain', 'level': 2, 'score': 0.48255342}, {'id': 'https://openalex.org/C163836022', 'wikidata': 'https://www.wikidata.org/wiki/Q6771326', 'display_name': 'Markov model', 'level': 3, 'score': 0.47579372}, {'id': 'https://openalex.org/C500882744', 'wikidata': 'https://www.wikidata.org/wiki/Q269236', 'display_name': 'Latent Dirichlet allocation', 'level': 3, 'score': 0.4676124}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.44379368}, {'id': 'https://openalex.org/C169214877', 'wikidata': 'https://www.wikidata.org/wiki/Q981016', 'display_name': 'Dirichlet distribution', 'level': 3, 'score': 0.43518338}, {'id': 'https://openalex.org/C80444323', 'wikidata': 'https://www.wikidata.org/wiki/Q2878974', 'display_name': 'Theoretical computer science', 'level': 1, 'score': 0.43442404}, {'id': 'https://openalex.org/C159886148', 'wikidata': 'https://www.wikidata.org/wiki/Q176645', 'display_name': 'Markov process', 'level': 2, 'score': 0.4270021}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.39835548}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.39489466}, {'id': 'https://openalex.org/C171686336', 'wikidata': 'https://www.wikidata.org/wiki/Q3532085', 'display_name': 'Topic model', 'level': 2, 'score': 0.35881746}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.21297663}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.06941044}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C182310444', 'wikidata': 'https://www.wikidata.org/wiki/Q1332643', 'display_name': 'Boundary value problem', 'level': 2, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icdm.2008.24', 'pdf_url': None, 'source': None, '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': 29, 'referenced_works': ['https://openalex.org/W1880262756', 'https://openalex.org/W1967687583', 'https://openalex.org/W1972884046', 'https://openalex.org/W2001082470', 'https://openalex.org/W2036987424', 'https://openalex.org/W2049633694', 'https://openalex.org/W2050153214', 'https://openalex.org/W2069429561', 'https://openalex.org/W2072169887', 'https://openalex.org/W2072644219', 'https://openalex.org/W2086699924', 'https://openalex.org/W2089484716', 'https://openalex.org/W2091797506', 'https://openalex.org/W2110591510', 'https://openalex.org/W2121194706', 'https://openalex.org/W2125838338', 'https://openalex.org/W2151967501', 'https://openalex.org/W2158190429', 'https://openalex.org/W2158266063', 'https://openalex.org/W2163738067', 'https://openalex.org/W2169895393', 'https://openalex.org/W2170337404', 'https://openalex.org/W2171343266', 'https://openalex.org/W2293546752', 'https://openalex.org/W2306206097', 'https://openalex.org/W263845233', 'https://openalex.org/W3129711340', 'https://openalex.org/W4231517135', 'https://openalex.org/W4237791300'], 'related_works': ['https://openalex.org/W4291700620', 'https://openalex.org/W2955328590', 'https://openalex.org/W2914864478', 'https://openalex.org/W2766840109', 'https://openalex.org/W2625329765', 'https://openalex.org/W2255612897', 'https://openalex.org/W22044811', 'https://openalex.org/W2097627380', 'https://openalex.org/W2008338582', 'https://openalex.org/W1999586157'], 'abstract_inverted_index': {'This': [0], 'paper': [1], 'studies': [2], 'evolutionary': [3, 84], 'clustering,': [4], 'which': [5], 'is': [6, 103], 'a': [7, 41, 49], 'recently': [8], 'hot': [9], 'topic': [10], 'with': [11, 48], 'many': [12], 'important': [13], 'applications,': [14], 'noticeably': [15], 'in': [16, 86], 'social': [17], 'network': [18], 'analysis.': [19], 'In': [20], 'this': [21, 74, 135], 'paper,': [22], 'based': [23, 54], 'on': [24, 28, 55, 83], 'the': [25, 56, 81, 87, 96, 108, 115, 120, 124, 130, 138], 'recent': [26], 'literature': [27, 82], 'Hierarchical': [29, 50, 59], 'Dirichlet': [30], 'Process': [31], '(HDP)': [32], 'and': [33, 111, 113, 132], 'Hidden': [34, 60], 'Markov': [35, 61], 'Model': [36], '(HMM),': [37], 'we': [38], 'have': [39, 128], 'developed': [40], 'statistical': [42], 'model': [43, 63, 78], 'HDP-HTM': [44, 77], 'that': [45, 89], 'combines': [46], 'HDP': [47], 'Transition': [51], 'Matrix': [52], '(HTM)': [53], 'proposed': [57], 'Infinite': [58], 'State': [62], '(iH': [64], '<sup': [65], 'xmlns:mml="http://www.w3.org/1998/Math/MathML"': [66], 'xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>': [67], 'MS)': [68], 'as': [69], 'an': [70], 'effective': [71], 'solution': [72, 136], 'to': [73], 'problem.': [75], 'The': [76], 'substantially': [79], 'advances': [80], 'clustering': [85], 'sense': [88], 'not': [90], 'only': [91], 'it': [92, 102], 'performs': [93], 'better': [94], 'than': [95], 'existing': [97], 'literature,': [98], 'but': [99], 'more': [100], 'importantly': [101], 'capable': [104], 'of': [105, 134], 'automatically': [106], 'learning': [107], 'cluster': [109], 'numbers': [110], 'structures': [112], 'at': [114], 'same': [116], 'time': [117], 'explicitly': [118], 'addresses': [119], 'correspondence': [121], 'issue': [122], 'during': [123], 'evolution.': [125], 'Extensive': [126], 'evaluations': [127], 'demonstrated': [129], 'effectiveness': [131], 'promise': [133], 'against': [137], 'state-of-the-art': [139], 'literature.': [140]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2141685271', 'counts_by_year': [{'year': 2024, 'cited_by_count': 2}, {'year': 2022, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 1}, {'year': 2019, 'cited_by_count': 3}, {'year': 2018, 'cited_by_count': 5}, {'year': 2017, 'cited_by_count': 5}, {'year': 2016, 'cited_by_count': 3}, {'year': 2015, 'cited_by_count': 6}, {'year': 2014, 'cited_by_count': 6}, {'year': 2013, 'cited_by_count': 8}, {'year': 2012, 'cited_by_count': 4}], 'updated_date': '2024-12-08T10:04:27.990495', 'created_date': '2016-06-24'}