Publication Information

{'id': 'https://openalex.org/W2294572603', 'doi': None, 'title': 'Integrating Global and Local Application of Naive Bayes Classifier', 'display_name': 'Integrating Global and Local Application of Naive Bayes Classifier', 'publication_year': 2014, 'publication_date': '2014-01-01', 'ids': {'openalex': 'https://openalex.org/W2294572603', 'mag': '2294572603'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://dblp.uni-trier.de/db/journals/iajit/iajit11.html#Kotsiantis14', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S100666833', 'display_name': 'The International Arab Journal of Information Technology', 'issn_l': '1683-3198', 'issn': ['1683-3198', '2309-4524'], 'is_oa': True, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4362726017', 'host_organization_name': 'Zarqa University', 'host_organization_lineage': ['https://openalex.org/P4362726017'], 'host_organization_lineage_names': ['Zarqa University'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], '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/A5066370772', 'display_name': 'Sotiris Kotsiantis', 'orcid': 'https://orcid.org/0000-0002-2247-3082'}, 'institutions': [], 'countries': [], 'is_corresponding': True, 'raw_author_name': 'Sotiris B. Kotsiantis', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': ['https://openalex.org/A5066370772'], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 1.652, 'has_fulltext': False, 'cited_by_count': 12, 'citation_normalized_percentile': {'value': 0.880546, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 87, 'max': 88}, 'biblio': {'volume': '11', 'issue': None, 'first_page': '300', 'last_page': '307'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T12535', 'display_name': 'Machine Learning and Data Classification', 'score': 0.9989, '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/T12535', 'display_name': 'Machine Learning and Data Classification', 'score': 0.9989, '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/T11652', 'display_name': 'Imbalanced Data Classification Techniques', 'score': 0.9984, '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/T10538', 'display_name': 'Data Mining Algorithms and Applications', 'score': 0.9974, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, '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/bayes-error-rate', 'display_name': 'Bayes error rate', 'score': 0.6681528}, {'id': 'https://openalex.org/keywords/bayesian-programming', 'display_name': 'Bayesian programming', 'score': 0.6263938}, {'id': 'https://openalex.org/keywords/benchmark', 'display_name': 'Benchmark (surveying)', 'score': 0.6052566}], 'concepts': [{'id': 'https://openalex.org/C52001869', 'wikidata': 'https://www.wikidata.org/wiki/Q812530', 'display_name': 'Naive Bayes classifier', 'level': 3, 'score': 0.9317397}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.82931876}, {'id': 'https://openalex.org/C185207860', 'wikidata': 'https://www.wikidata.org/wiki/Q17004744', 'display_name': 'Bayes classifier', 'level': 4, 'score': 0.6929164}, {'id': 'https://openalex.org/C143809311', 'wikidata': 'https://www.wikidata.org/wiki/Q4874458', 'display_name': 'Bayes error rate', 'level': 5, 'score': 0.6681528}, {'id': 'https://openalex.org/C207201462', 'wikidata': 'https://www.wikidata.org/wiki/Q182505', 'display_name': "Bayes' theorem", 'level': 3, 'score': 0.64379567}, {'id': 'https://openalex.org/C127043819', 'wikidata': 'https://www.wikidata.org/wiki/Q16243608', 'display_name': 'Bayesian programming', 'level': 5, 'score': 0.6263938}, {'id': 'https://openalex.org/C95623464', 'wikidata': 'https://www.wikidata.org/wiki/Q1096149', 'display_name': 'Classifier (UML)', 'level': 2, 'score': 0.61580896}, {'id': 'https://openalex.org/C185798385', 'wikidata': 'https://www.wikidata.org/wiki/Q1161707', 'display_name': 'Benchmark (surveying)', 'level': 2, 'score': 0.6052566}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.60503834}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.60181296}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.4041487}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.36775532}, {'id': 'https://openalex.org/C107673813', 'wikidata': 'https://www.wikidata.org/wiki/Q812534', 'display_name': 'Bayesian probability', 'level': 2, 'score': 0.27588773}, {'id': 'https://openalex.org/C142291917', 'wikidata': 'https://www.wikidata.org/wiki/Q4165283', 'display_name': 'Bayes factor', 'level': 4, 'score': 0.15565175}, {'id': 'https://openalex.org/C12267149', 'wikidata': 'https://www.wikidata.org/wiki/Q282453', 'display_name': 'Support vector machine', 'level': 2, 'score': 0.108052105}, {'id': 'https://openalex.org/C13280743', 'wikidata': 'https://www.wikidata.org/wiki/Q131089', 'display_name': 'Geodesy', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C205649164', 'wikidata': 'https://www.wikidata.org/wiki/Q1071', 'display_name': 'Geography', 'level': 0, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://dblp.uni-trier.de/db/journals/iajit/iajit11.html#Kotsiantis14', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S100666833', 'display_name': 'The International Arab Journal of Information Technology', 'issn_l': '1683-3198', 'issn': ['1683-3198', '2309-4524'], 'is_oa': True, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4362726017', 'host_organization_name': 'Zarqa University', 'host_organization_lineage': ['https://openalex.org/P4362726017'], 'host_organization_lineage_names': ['Zarqa University'], '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': 42, 'referenced_works': ['https://openalex.org/W1503498577', 'https://openalex.org/W1532983512', 'https://openalex.org/W1551066950', 'https://openalex.org/W1559060276', 'https://openalex.org/W1570448133', 'https://openalex.org/W1598484133', 'https://openalex.org/W168332103', 'https://openalex.org/W1840338487', 'https://openalex.org/W1982589161', 'https://openalex.org/W1985052333', 'https://openalex.org/W2005861721', 'https://openalex.org/W2012319196', 'https://openalex.org/W2017337590', 'https://openalex.org/W2019439081', 'https://openalex.org/W2029252861', 'https://openalex.org/W2053881327', 'https://openalex.org/W2059673958', 'https://openalex.org/W2097246321', 'https://openalex.org/W2101748138', 'https://openalex.org/W2102482611', 'https://openalex.org/W2105038653', 'https://openalex.org/W2111574971', 'https://openalex.org/W2112076978', 'https://openalex.org/W2113001205', 'https://openalex.org/W2125055259', 'https://openalex.org/W2133990480', 'https://openalex.org/W2138745909', 'https://openalex.org/W2140785063', 'https://openalex.org/W2142334564', 'https://openalex.org/W2152761983', 'https://openalex.org/W2153188249', 'https://openalex.org/W2158724449', 'https://openalex.org/W2159636276', 'https://openalex.org/W2165954368', 'https://openalex.org/W2171665309', 'https://openalex.org/W2172238468', 'https://openalex.org/W28285544', 'https://openalex.org/W2913170520', 'https://openalex.org/W2966207845', 'https://openalex.org/W3120740533', 'https://openalex.org/W3123294050', 'https://openalex.org/W5410279'], 'related_works': ['https://openalex.org/W83434975', 'https://openalex.org/W2957157835', 'https://openalex.org/W2802310679', 'https://openalex.org/W2511955000', 'https://openalex.org/W2393216471', 'https://openalex.org/W2391862486', 'https://openalex.org/W2217683450', 'https://openalex.org/W2086147528', 'https://openalex.org/W2071512114', 'https://openalex.org/W2028042040', 'https://openalex.org/W2019439081', 'https://openalex.org/W1987683558', 'https://openalex.org/W1972450020', 'https://openalex.org/W179179905', 'https://openalex.org/W1627824512', 'https://openalex.org/W1622775886', 'https://openalex.org/W1602011971', 'https://openalex.org/W1584704873', 'https://openalex.org/W1543934398', 'https://openalex.org/W145653800'], 'abstract_inverted_index': {'Naive': [0, 46, 66], 'Bayes': [1, 37, 47, 67], 'algorithm': [2, 68], 'captures': [3], 'the': [4, 12, 15, 18, 21, 31, 35, 62, 65, 81], 'assumption': [5], 'that': [6, 57], 'every': [7], 'attribute': [8], 'is': [9], 'independent': [10], 'from': [11], 'rest': [13], 'of': [14, 20, 34, 45, 64], 'attributes,': [16], 'given': [17], 'state': [19], 'class': [22], 'attribute.': [23], 'In': [24], 'this': [25], 'study,': [26], 'we': [27], 'attempted': [28], 'to': [29, 60], 'increase': [30], 'prediction': [32], 'accuracy': [33, 63, 86], 'simple': [36], 'model': [38], 'by': [39], 'integrating': [40], 'global': [41], 'and': [42, 80], 'local': [43], 'application': [44], 'classifier.': [48], 'We': [49], 'performed': [50], 'a': [51], 'large-scale': [52], 'comparison': [53], 'with': [54], 'other': [55, 72], 'attempts': [56], 'have': [58], 'tried': [59], 'improve': [61], 'as': [69, 71], 'well': [70], 'state-of-the-art': [73], 'algorithms': [74], 'on': [75], '28': [76], 'standard': [77], 'benchmark': [78], 'datasets': [79], 'proposed': [82], 'method': [83], 'gave': [84], 'better': [85], 'in': [87], 'most': [88], 'cases.': [89]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2294572603', 'counts_by_year': [{'year': 2023, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 4}, {'year': 2021, 'cited_by_count': 1}, {'year': 2018, 'cited_by_count': 1}, {'year': 2017, 'cited_by_count': 2}, {'year': 2016, 'cited_by_count': 2}, {'year': 2015, 'cited_by_count': 1}], 'updated_date': '2024-12-17T07:08:25.893633', 'created_date': '2016-06-24'}