Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
23763 | 335 | 29.7 | 34% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
211 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//IEEE TRANSACTIONS ON NEURAL NETWORKS//DATA MINING | 51632 |
2216 | 2 | ASSOCIATION RULES//DATA MINING//FREQUENT ITEMSETS | 4819 |
23763 | 1 | FRAUD DETECTION//INSURANCE FRAUD//CREDIT CARD FRAUD DETECTION | 335 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | FRAUD DETECTION | authKW | 2243461 | 17% | 43% | 57 |
2 | INSURANCE FRAUD | authKW | 408473 | 3% | 41% | 11 |
3 | CREDIT CARD FRAUD DETECTION | authKW | 379789 | 1% | 83% | 5 |
4 | CREDIT CARD FRAUD | authKW | 208339 | 1% | 57% | 4 |
5 | ONLINE AUCTION FRAUD | authKW | 205085 | 1% | 75% | 3 |
6 | APPROXIMATE SUBGRAPHS | authKW | 182299 | 1% | 100% | 2 |
7 | BRANCH ELEKTRODISTRIBUCIJA LESKOVAC | address | 182299 | 1% | 100% | 2 |
8 | FRAUD RISK MANAGEMENT ANALYT | address | 182299 | 1% | 100% | 2 |
9 | FRAUDSTER DETECTION | authKW | 182299 | 1% | 100% | 2 |
10 | PEER GROUP ANALYSIS | authKW | 182299 | 1% | 100% | 2 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 5970 | 35% | 0% | 117 |
2 | Operations Research & Management Science | 1763 | 17% | 0% | 56 |
3 | Computer Science, Information Systems | 1184 | 16% | 0% | 53 |
4 | Business, Finance | 943 | 8% | 0% | 27 |
5 | Economics | 508 | 14% | 0% | 47 |
6 | Business | 320 | 6% | 0% | 20 |
7 | Computer Science, Software Engineering | 311 | 7% | 0% | 25 |
8 | Computer Science, Hardware & Architecture | 310 | 6% | 0% | 19 |
9 | Computer Science, Theory & Methods | 288 | 9% | 0% | 29 |
10 | Engineering, Electrical & Electronic | 287 | 19% | 0% | 64 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | BRANCH ELEKTRODISTRIBUCIJA LESKOVAC | 182299 | 1% | 100% | 2 |
2 | FRAUD RISK MANAGEMENT ANALYT | 182299 | 1% | 100% | 2 |
3 | ADMIRALTY | 91150 | 0% | 100% | 1 |
4 | AREA METODOS CUANTITAT | 91150 | 0% | 100% | 1 |
5 | ATLANTIC TECHNOL | 91150 | 0% | 100% | 1 |
6 | C INFORMAT SYST TECHNOL MANAGEMENT | 91150 | 0% | 100% | 1 |
7 | COMPLEX SYST PROJECT MANAGEMENT PROGRAMME | 91150 | 0% | 100% | 1 |
8 | CRIMINOL SOCIO LEGAL STUDIES | 91150 | 0% | 100% | 1 |
9 | CRIMNOL | 91150 | 0% | 100% | 1 |
10 | DEPARTIMENTO STUDI AZIENDALI SOCIALI | 91150 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF RISK AND INSURANCE | 24372 | 5% | 1% | 18 |
2 | EXPERT SYSTEMS WITH APPLICATIONS | 11803 | 11% | 0% | 37 |
3 | ELECTRONIC COMMERCE RESEARCH | 8005 | 1% | 2% | 4 |
4 | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS | 6796 | 2% | 1% | 6 |
5 | GENEVA PAPERS ON RISK AND INSURANCE THEORY | 6353 | 1% | 2% | 3 |
6 | HEALTH CARE MANAGEMENT SCIENCE | 5257 | 1% | 1% | 4 |
7 | GENEVA RISK AND INSURANCE REVIEW | 3468 | 1% | 2% | 2 |
8 | DECISION SUPPORT SYSTEMS | 2813 | 3% | 0% | 9 |
9 | DATA MINING AND KNOWLEDGE DISCOVERY | 2498 | 1% | 1% | 4 |
10 | KNOWLEDGE-BASED SYSTEMS | 2097 | 2% | 0% | 8 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | FRAUD DETECTION | 2243461 | 17% | 43% | 57 | Search FRAUD+DETECTION | Search FRAUD+DETECTION |
2 | INSURANCE FRAUD | 408473 | 3% | 41% | 11 | Search INSURANCE+FRAUD | Search INSURANCE+FRAUD |
3 | CREDIT CARD FRAUD DETECTION | 379789 | 1% | 83% | 5 | Search CREDIT+CARD+FRAUD+DETECTION | Search CREDIT+CARD+FRAUD+DETECTION |
4 | CREDIT CARD FRAUD | 208339 | 1% | 57% | 4 | Search CREDIT+CARD+FRAUD | Search CREDIT+CARD+FRAUD |
5 | ONLINE AUCTION FRAUD | 205085 | 1% | 75% | 3 | Search ONLINE+AUCTION+FRAUD | Search ONLINE+AUCTION+FRAUD |
6 | APPROXIMATE SUBGRAPHS | 182299 | 1% | 100% | 2 | Search APPROXIMATE+SUBGRAPHS | Search APPROXIMATE+SUBGRAPHS |
7 | FRAUDSTER DETECTION | 182299 | 1% | 100% | 2 | Search FRAUDSTER+DETECTION | Search FRAUDSTER+DETECTION |
8 | PEER GROUP ANALYSIS | 182299 | 1% | 100% | 2 | Search PEER+GROUP+ANALYSIS | Search PEER+GROUP+ANALYSIS |
9 | SHILL DETECTION | 182299 | 1% | 100% | 2 | Search SHILL+DETECTION | Search SHILL+DETECTION |
10 | FRAUD MANAGEMENT | 164067 | 1% | 60% | 3 | Search FRAUD+MANAGEMENT | Search FRAUD+MANAGEMENT |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | ABDALLAH, A , MAAROF, MA , ZAINAL, A , (2016) FRAUD DETECTION SYSTEM: A SURVEY.JOURNAL OF NETWORK AND COMPUTER APPLICATIONS. VOL. 67. ISSUE . P. 90 -113 | 46 | 67% | 1 |
2 | NGAI, EWT , HU, Y , WONG, YH , CHEN, YJ , SUN, X , (2011) THE APPLICATION OF DATA MINING TECHNIQUES IN FINANCIAL FRAUD DETECTION: A CLASSIFICATION FRAMEWORK AND AN ACADEMIC REVIEW OF LITERATURE.DECISION SUPPORT SYSTEMS. VOL. 50. ISSUE 3. P. 559 -569 | 28 | 68% | 94 |
3 | BHATTACHARYA, M , WEST, J , (2016) INTELLIGENT FINANCIAL FRAUD DETECTION: A COMPREHENSIVE REVIEW.COMPUTERS & SECURITY. VOL. 57. ISSUE . P. 47 -66 | 21 | 60% | 1 |
4 | FURLAN, S , VASILECAS, O , BAJEC, M , (2011) METHOD FOR SELECTION OF MOTOR INSURANCE FRAUD MANAGEMENT SYSTEM COMPONENTS BASED ON BUSINESS PERFORMANCE.TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY. VOL. 17. ISSUE 3. P. 535 -561 | 21 | 66% | 2 |
5 | BAHNSEN, AC , AOUADA, D , STOJANOVIC, A , OTTERSTEN, B , (2016) FEATURE ENGINEERING STRATEGIES FOR CREDIT CARD FRAUD DETECTION.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 51. ISSUE . P. 134 -142 | 13 | 93% | 0 |
6 | AI, J , BROCKETT, PL , GOLDEN, LL , GUILLEN, M , (2013) A ROBUST UNSUPERVISED METHOD FOR FRAUD RATE ESTIMATION.JOURNAL OF RISK AND INSURANCE. VOL. 80. ISSUE 1. P. 121-143 | 17 | 71% | 1 |
7 | VAN VLASSELAER, V , BRAVO, C , CAELEN, O , ELIASSI-RAD, T , AKOGLU, L , SNOECK, M , BAESENS, B , (2015) APATE: A NOVEL APPROACH FOR AUTOMATED CREDIT CARD TRANSACTION FRAUD DETECTION USING NETWORK-BASED EXTENSIONS.DECISION SUPPORT SYSTEMS. VOL. 75. ISSUE . P. 38 -48 | 12 | 80% | 8 |
8 | VIAENE, S , AYUSO, M , GUILLEN, M , VAN GHEEL, D , DEDENE, G , (2007) STRATEGIES FOR DETECTING FRAUDULENT CLAIMS IN THE AUTOMOBILE INSURANCE INDUSTRY.EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. VOL. 176. ISSUE 1. P. 565 -583 | 13 | 87% | 15 |
9 | SEEJA, KR , ZAREAPOOR, M , (2014) FRAUDMINER: A NOVEL CREDIT CARD FRAUD DETECTION MODEL BASED ON FREQUENT ITEMSET MINING.SCIENTIFIC WORLD JOURNAL. VOL. . ISSUE . P. - | 12 | 75% | 0 |
10 | JHA, S , GUILLEN, M , WESTLAND, JC , (2012) EMPLOYING TRANSACTION AGGREGATION STRATEGY TO DETECT CREDIT CARD FRAUD.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 39. ISSUE 16. P. 12650-12657 | 12 | 71% | 11 |
Classes with closest relation at Level 1 |