Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2480288967', 'doi': 'https://doi.org/10.1142/9789812565402_0006', 'title': 'CLASSIFICATION AND DETECTION OF ABNORMAL EVENTS IN TIME SERIES OF GRAPHS', 'display_name': 'CLASSIFICATION AND DETECTION OF ABNORMAL EVENTS IN TIME SERIES OF GRAPHS', 'publication_year': 2004, 'publication_date': '2004-06-01', 'ids': {'openalex': 'https://openalex.org/W2480288967', 'doi': 'https://doi.org/10.1142/9789812565402_0006', 'mag': '2480288967'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1142/9789812565402_0006', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210240769', 'display_name': 'Series in machine perception and artificial intelligence', 'issn_l': '1793-0839', 'issn': ['1793-0839'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319815', 'host_organization_name': 'World Scientific', 'host_organization_lineage': ['https://openalex.org/P4310319815'], 'host_organization_lineage_names': ['World Scientific'], 'type': 'book series'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'book-chapter', 'type_crossref': 'book-chapter', '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/A5111680161', 'display_name': 'Horst Bunke', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I118564535', 'display_name': 'University of Bern', 'ror': 'https://ror.org/02k7v4d05', 'country_code': 'CH', 'type': 'education', 'lineage': ['https://openalex.org/I118564535']}], 'countries': ['CH'], 'is_corresponding': False, 'raw_author_name': 'H. Bunke', 'raw_affiliation_strings': ['Institute of Computer Science and Applied Mathematics, University of Bern, CH-3012 Bern, Switzerland'], 'affiliations': [{'raw_affiliation_string': 'Institute of Computer Science and Applied Mathematics, University of Bern, CH-3012 Bern, Switzerland', 'institution_ids': ['https://openalex.org/I118564535']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5014027782', 'display_name': 'M. Kraetzl', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I1303474014', 'display_name': 'Defence Science and Technology Group', 'ror': 'https://ror.org/05ddrvt52', 'country_code': 'AU', 'type': 'government', 'lineage': ['https://openalex.org/I1303474014', 'https://openalex.org/I2801453606', 'https://openalex.org/I3139952251']}], 'countries': ['AU'], 'is_corresponding': False, 'raw_author_name': 'M. Kraetzl', 'raw_affiliation_strings': ['ISR Division, Defense Science and Technology Organization, Edinburgh SA 5111, Australia'], 'affiliations': [{'raw_affiliation_string': 'ISR Division, Defense Science and Technology Organization, Edinburgh SA 5111, Australia', 'institution_ids': ['https://openalex.org/I1303474014']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.601, 'has_fulltext': False, 'cited_by_count': 10, 'citation_normalized_percentile': {'value': 0.767381, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 81, 'max': 82}, 'biblio': {'volume': None, 'issue': None, 'first_page': '127', 'last_page': '148'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11512', 'display_name': 'Anomaly Detection Techniques and Applications', 'score': 0.9734, '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/T11512', 'display_name': 'Anomaly Detection Techniques and Applications', 'score': 0.9734, '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/T12205', 'display_name': 'Time Series Analysis and Forecasting', 'score': 0.9634, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [], 'concepts': [{'id': 'https://openalex.org/C143724316', 'wikidata': 'https://www.wikidata.org/wiki/Q312468', 'display_name': 'Series (stratigraphy)', 'level': 2, 'score': 0.65806675}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.49180487}, {'id': 'https://openalex.org/C127313418', 'wikidata': 'https://www.wikidata.org/wiki/Q1069', 'display_name': 'Geology', 'level': 0, 'score': 0.13698572}, {'id': 'https://openalex.org/C151730666', 'wikidata': 'https://www.wikidata.org/wiki/Q7205', 'display_name': 'Paleontology', 'level': 1, 'score': 0.057090074}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1142/9789812565402_0006', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210240769', 'display_name': 'Series in machine perception and artificial intelligence', 'issn_l': '1793-0839', 'issn': ['1793-0839'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319815', 'host_organization_name': 'World Scientific', 'host_organization_lineage': ['https://openalex.org/P4310319815'], 'host_organization_lineage_names': ['World Scientific'], 'type': 'book series'}, '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/W4396701345', 'https://openalex.org/W4396696052', 'https://openalex.org/W4395014643', 'https://openalex.org/W4391375266', 'https://openalex.org/W2748952813', 'https://openalex.org/W2390279801', 'https://openalex.org/W2382290278', 'https://openalex.org/W2376932109', 'https://openalex.org/W2358668433', 'https://openalex.org/W2001405890'], 'abstract_inverted_index': {'Series': [0, 10, 307], 'in': [1, 8, 77, 90, 119, 144, 156, 177, 305], 'Machine': [2, 299], 'Perception': [3], 'and': [4, 28, 35, 44, 50, 79, 213, 220, 252, 272, 279, 289, 298], 'Artificial': [5, 264], 'IntelligenceData': [6], 'Mining': [7, 297, 304], 'Time': [9, 306], 'Databases,': [11], 'pp.': [12], '127-148': [13], '(2004)': [14], 'No': [15], 'AccessCLASSIFICATION': [16], 'AND': [17], 'DETECTION': [18], 'OF': [19, 25], 'ABNORMAL': [20], 'EVENTS': [21], 'IN': [22], 'TIME': [23], 'SERIES': [24], 'GRAPHSH.': [26], 'Bunke': [27, 301], 'M.': [29, 45, 290], 'KraetzlH.': [30], 'BunkeInstitute': [31], 'of': [32, 39, 86, 93, 99, 114, 126, 180, 189, 233, 241, 259, 312], 'Computer': [33], 'Science': [34, 49], 'Applied': [36], 'Mathematics,': [37], 'University': [38], 'Bern,': [40, 42], 'CH-3012': [41], 'Switzerland': [43], 'KraetzlISR': [46], 'Division,': [47], 'Defense': [48], 'Technology': [51], 'Organization,': [52], 'Edinburgh': [53], 'SA': [54], '5111,': [55], 'Australiahttps://doi.org/10.1142/9789812565402_0006Cited': [56], 'by:4': [57], '(Source:': [58], 'Crossref)': [59], 'PreviousNext': [60], 'AboutSectionsPDF/EPUB': [61], 'ToolsAdd': [62], 'to': [63, 67, 109, 167, 173], 'favoritesDownload': [64], 'CitationsTrack': [65], 'CitationsRecommend': [66], 'Library': [68], 'ShareShare': [69], 'onFacebookTwitterLinked': [70], 'InRedditEmail': [71], 'Abstract:': [72], 'Graphs': [73], 'are': [74, 103, 107], 'widely': [75], 'used': [76], 'science': [78], 'engineering.': [80], 'In': [81], 'this': [82, 157], 'chapter,': [83], 'the': [84, 112, 127, 138, 178, 260], 'problem': [85], 'detecting': [87], 'abnormal': [88, 133, 174], 'events': [89], 'times': [91], 'series': [92, 147, 188, 211, 311], 'graphs': [94, 118, 143], 'is': [95, 135, 159, 184], 'investigated.': [96], 'A': [97], 'number': [98], 'graph': [100, 129], 'similarity': [101, 130, 139], 'measures': [102, 106], 'introduced.': [104], 'These': [105], 'useful': [108], 'quantitatively': [110], 'characterize': [111], 'degree': [113], 'change': [115, 134], 'between': [116, 140], 'two': [117, 141], 'a': [120, 145, 150], 'time': [121, 146, 210], 'series.': [122], 'Based': [123], 'on': [124, 205], 'any': [125, 163], 'introduced': [128], 'measures,': [131], 'an': [132], 'detected': [136], 'if': [137], 'consecutive': [142], 'falls': [148], 'below': [149], 'given': [151], 'threshold.': [152], 'The': [153], 'approach': [154], 'proposed': [155], 'chapter': [158], 'not': [160], 'geared': [161], 'towards': [162], 'particular': [164], 'application.': [165], 'However,': [166], 'demonstrate': [168], 'its': [169, 171], 'feasibility,': [170], 'application': [172], 'event': [175, 192, 315], 'detection': [176], 'context': [179], 'computer': [181], 'networks': [182], 'monitoring': [183, 195], 'studied.': [185], 'Keywords:': [186], 'Graphtime': [187], 'graphsgraph': [190, 313], 'similarityabnormal': [191, 314], 'detectioncomputer': [193, 316], 'network': [194, 247, 317], 'FiguresReferencesRelatedDetailsCited': [196], 'By': [197], '4Cited': [198], 'by': [199], 'lists': [200], 'all': [201], 'citing': [202], 'articles': [203], 'based': [204], 'Crossref': [206], 'citation.Discrete': [207], 'wavelet': [208], 'transform-based': [209], 'analysis': [212], 'miningPimwadee': [214], 'Chaovalit,': [215], 'Aryya': [216], 'Gangopadhyay,': [217], 'George': [218], 'Karabatis': [219], 'Zhiyuan': [221], 'Chen4': [222], 'February': [223], '2011': [224], '|': [225, 257], 'ACM': [226], 'Computing': [227], 'Surveys,': [228], 'Vol.': [229, 266], '43,': [230], 'No.': [231, 268], '2Extraction': [232], 'Social': [234], 'Structure': [235], 'Change': [236], 'from': [237], 'Survey': [238], 'Data': [239, 296, 303], 'Application': [240], 'Inductive': [242], 'Logic': [243], 'Programming': [244], 'for': [245, 263, 295], 'cohort': [246], 'analysisKeita': [248], 'Kinjo,': [249], 'Akiko': [250], 'Aizawa': [251], 'Tomonobu': [253], 'Ozaki1': [254], 'Jan': [255, 292], '2010': [256], 'Transactions': [258], 'Japanese': [261], 'Society': [262], 'Intelligence,': [265], '25,': [267], '3Computer': [269], 'Network': [270], 'Monitoring': [271], 'Abnormal': [273], 'Event': [274], 'Detection': [275], 'Using': [276], 'Graph': [277], 'Matching': [278], 'Multidimensional': [280], 'ScalingH.': [281], 'Bunke,': [282], 'P.': [283], 'Dickinson,': [284], 'A.': [285], 'Humm,': [286], 'Ch.': [287], 'Irniger': [288], 'Kraetzl1': [291], '2006Graph-Based': [293], 'Tools': [294], 'LearningHorst': [300], 'Recommended': [302], 'DatabasesMetrics': [308], 'History': [309], 'KeywordsGraphtime': [310], 'monitoringPDF': [318], 'download': [319]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2480288967', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2020, 'cited_by_count': 1}, {'year': 2018, 'cited_by_count': 1}, {'year': 2017, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 1}], 'updated_date': '2024-12-10T11:59:17.940897', 'created_date': '2016-08-23'}