Publication Information

{'id': 'https://openalex.org/W2382583293', 'doi': None, 'title': 'Performance Optimization for Network Anomaly Detection Using Rough Set Attribution Reduction', 'display_name': 'Performance Optimization for Network Anomaly Detection Using Rough Set Attribution Reduction', 'publication_year': 2010, 'publication_date': '2010-01-01', 'ids': {'openalex': 'https://openalex.org/W2382583293', 'mag': '2382583293'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://en.cnki.com.cn/Article_en/CJFDTOTAL-NTFZ201001008.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2765062899', 'display_name': 'Journal of Nantong Textile Vocational Technology College', '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': '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/A5100365452', 'display_name': 'Linbo Xie', 'orcid': 'https://orcid.org/0000-0002-9029-7236'}, 'institutions': [{'id': 'https://openalex.org/I111599522', 'display_name': 'Jiangnan University', 'ror': 'https://ror.org/04mkzax54', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I111599522']}], 'countries': ['CN'], 'is_corresponding': True, 'raw_author_name': 'Xie Lin-bo', 'raw_affiliation_strings': ['School of Communication and Control Engineering, Jiangnan University, Wuxi,214122, China'], 'affiliations': [{'raw_affiliation_string': 'School of Communication and Control Engineering, Jiangnan University, Wuxi,214122, China', 'institution_ids': ['https://openalex.org/I111599522']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': ['https://openalex.org/A5100365452'], 'corresponding_institution_ids': ['https://openalex.org/I111599522'], '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': 64}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T13734', 'display_name': 'Advanced Computational Techniques and Applications', 'score': 0.9823, '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/T13734', 'display_name': 'Advanced Computational Techniques and Applications', 'score': 0.9823, '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/T13832', 'display_name': 'Advanced Decision-Making Techniques', 'score': 0.9682, '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'}}, {'id': 'https://openalex.org/T11063', 'display_name': 'Rough Sets and Fuzzy Logic', 'score': 0.9566, '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'}}], 'keywords': [{'id': 'https://openalex.org/keywords/anomaly', 'display_name': 'Anomaly (physics)', 'score': 0.5725153}, {'id': 'https://openalex.org/keywords/data-set', 'display_name': 'Data set', 'score': 0.43207508}], 'concepts': [{'id': 'https://openalex.org/C12267149', 'wikidata': 'https://www.wikidata.org/wiki/Q282453', 'display_name': 'Support vector machine', 'level': 2, 'score': 0.80827844}, {'id': 'https://openalex.org/C111012933', 'wikidata': 'https://www.wikidata.org/wiki/Q3137210', 'display_name': 'Rough set', 'level': 2, 'score': 0.8016063}, {'id': 'https://openalex.org/C739882', 'wikidata': 'https://www.wikidata.org/wiki/Q3560506', 'display_name': 'Anomaly detection', 'level': 2, 'score': 0.73044103}, {'id': 'https://openalex.org/C111335779', 'wikidata': 'https://www.wikidata.org/wiki/Q3454686', 'display_name': 'Reduction (mathematics)', 'level': 2, 'score': 0.68952674}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.6135534}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.6077505}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5825293}, {'id': 'https://openalex.org/C12997251', 'wikidata': 'https://www.wikidata.org/wiki/Q567560', 'display_name': 'Anomaly (physics)', 'level': 2, 'score': 0.5725153}, {'id': 'https://openalex.org/C143299363', 'wikidata': 'https://www.wikidata.org/wiki/Q900584', 'display_name': 'Attribution', 'level': 2, 'score': 0.548716}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.53799725}, {'id': 'https://openalex.org/C177264268', 'wikidata': 'https://www.wikidata.org/wiki/Q1514741', 'display_name': 'Set (abstract data type)', 'level': 2, 'score': 0.5210694}, {'id': 'https://openalex.org/C58489278', 'wikidata': 'https://www.wikidata.org/wiki/Q1172284', 'display_name': 'Data set', 'level': 2, 'score': 0.43207508}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.32874072}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.2086848}, {'id': 'https://openalex.org/C15744967', 'wikidata': 'https://www.wikidata.org/wiki/Q9418', 'display_name': 'Psychology', 'level': 0, 'score': 0.06343883}, {'id': 'https://openalex.org/C77805123', 'wikidata': 'https://www.wikidata.org/wiki/Q161272', 'display_name': 'Social psychology', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C26873012', 'wikidata': 'https://www.wikidata.org/wiki/Q214781', 'display_name': 'Condensed matter physics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://en.cnki.com.cn/Article_en/CJFDTOTAL-NTFZ201001008.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2765062899', 'display_name': 'Journal of Nantong Textile Vocational Technology College', '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': '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/W2905687009', 'https://openalex.org/W2393265995', 'https://openalex.org/W2389399000', 'https://openalex.org/W2385579554', 'https://openalex.org/W2382219891', 'https://openalex.org/W2379993480', 'https://openalex.org/W2374166298', 'https://openalex.org/W2372463988', 'https://openalex.org/W2370571279', 'https://openalex.org/W2362574851', 'https://openalex.org/W2355475522', 'https://openalex.org/W2348205964', 'https://openalex.org/W2159241419', 'https://openalex.org/W2103387009', 'https://openalex.org/W2098987771', 'https://openalex.org/W2025806549', 'https://openalex.org/W1967601055', 'https://openalex.org/W1965502310', 'https://openalex.org/W1495781155', 'https://openalex.org/W113535010'], 'abstract_inverted_index': {'Discussed': [0], 'method': [1], 'of': [2], 'network': [3, 38], 'anomaly': [4, 39], 'detectio': [5], 'n': [6], 'using': [7, 20], 'rough-set-attribution-reduction-based': [8], 'SVM.The': [9, 25], 'testing': [10], 'data': [11], 'set': [12], 'from': [13], 'KDD': [14], '99': [15], 'were': [16], 'experimented': [17], 'by': [18], 'respectively': [19], 'attribution-reduction-based': [21, 35], 'SVM': [22, 32, 36], 'and': [23], 'original': [24], 'experiment': [26], 'results': [27], 'showed': [28], 'that,compared': [29], 'with': [30], 'applying': [31], 'directly,to': [33], 'apply': [34], 'in': [37], 'detection': [40, 49], 'can': [41], 'reduce': [42], 'effectively': [43], 'training': [44], 'time': [45], 'without': [46], 'obviously': [47], 'losing': [48], 'accuracy.': [50]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2382583293', 'counts_by_year': [], 'updated_date': '2024-12-13T06:52:28.888297', 'created_date': '2016-06-24'}