Class information for: |
Basic class information |
| Class id | #P | Avg. number of references |
Database coverage of references |
|---|---|---|---|
| 37082 | 67 | 41.1 | 35% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
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 | COLLECTIVE INFERENCE | authKW | 1262089 | 9% | 46% | 6 |
| 2 | COLLECTIVE CLASSIFICATION | authKW | 1015085 | 10% | 32% | 7 |
| 3 | CODE 5514 | address | 607674 | 3% | 67% | 2 |
| 4 | NETWORKED DATA | authKW | 607670 | 6% | 33% | 4 |
| 5 | NODE CLASSIFICATION | authKW | 585969 | 4% | 43% | 3 |
| 6 | ACTIVE MAJOR DEPRESSIVE DISORDER | authKW | 455757 | 1% | 100% | 1 |
| 7 | BIG DATA TECHNOL SYST | address | 455757 | 1% | 100% | 1 |
| 8 | CAUTIOUS INFERENCE | authKW | 455757 | 1% | 100% | 1 |
| 9 | COMBINE LINK AND CONTENT | authKW | 455757 | 1% | 100% | 1 |
| 10 | COMORBIDITY PREDICTION | authKW | 455757 | 1% | 100% | 1 |
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 | 3028 | 55% | 0% | 37 |
| 2 | Computer Science, Information Systems | 1273 | 36% | 0% | 24 |
| 3 | Computer Science, Software Engineering | 168 | 12% | 0% | 8 |
| 4 | Statistics & Probability | 34 | 6% | 0% | 4 |
| 5 | Computer Science, Interdisciplinary Applications | 27 | 6% | 0% | 4 |
| 6 | Automation & Control Systems | 26 | 4% | 0% | 3 |
| 7 | Information Science & Library Science | 20 | 3% | 0% | 2 |
| 8 | Computer Science, Hardware & Architecture | 15 | 3% | 0% | 2 |
| 9 | Mathematical & Computational Biology | 14 | 3% | 0% | 2 |
| 10 | Primary Health Care | 13 | 1% | 0% | 1 |
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 | CODE 5514 | 607674 | 3% | 67% | 2 |
| 2 | BIG DATA TECHNOL SYST | 455757 | 1% | 100% | 1 |
| 3 | COMP ELECT ENGN COMP | 455757 | 1% | 100% | 1 |
| 4 | INFORMAT SYST INFORMAT | 151918 | 1% | 33% | 1 |
| 5 | COMP PLATFORM | 113938 | 1% | 25% | 1 |
| 6 | EMERGENCY PONSE TECH TEAM | 113938 | 1% | 25% | 1 |
| 7 | HIGH PERFORMANCE COMP NETWORKS ICAR | 113938 | 1% | 25% | 1 |
| 8 | SCI TECHNOL COMP | 113938 | 1% | 25% | 1 |
| 9 | NAVY PL ARTIFICIAL INTELLIGENCE | 100039 | 4% | 7% | 3 |
| 10 | ICENSA | 75958 | 1% | 17% | 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 | DATA MINING AND KNOWLEDGE DISCOVERY | 50102 | 12% | 1% | 8 |
| 2 | ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA | 18471 | 4% | 1% | 3 |
| 3 | STATISTICAL ANALYSIS AND DATA MINING | 3644 | 1% | 1% | 1 |
| 4 | MACHINE LEARNING | 3313 | 4% | 0% | 3 |
| 5 | INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS | 2829 | 1% | 1% | 1 |
| 6 | JOURNAL OF MACHINE LEARNING RESEARCH | 2613 | 4% | 0% | 3 |
| 7 | INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT | 2089 | 1% | 0% | 1 |
| 8 | JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH | 2051 | 3% | 0% | 2 |
| 9 | TSINGHUA SCIENCE AND TECHNOLOGY | 1836 | 1% | 0% | 1 |
| 10 | NEUROCOMPUTING | 1710 | 9% | 0% | 6 |
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 | COLLECTIVE INFERENCE | 1262089 | 9% | 46% | 6 | Search COLLECTIVE+INFERENCE | Search COLLECTIVE+INFERENCE |
| 2 | COLLECTIVE CLASSIFICATION | 1015085 | 10% | 32% | 7 | Search COLLECTIVE+CLASSIFICATION | Search COLLECTIVE+CLASSIFICATION |
| 3 | NETWORKED DATA | 607670 | 6% | 33% | 4 | Search NETWORKED+DATA | Search NETWORKED+DATA |
| 4 | NODE CLASSIFICATION | 585969 | 4% | 43% | 3 | Search NODE+CLASSIFICATION | Search NODE+CLASSIFICATION |
| 5 | ACTIVE MAJOR DEPRESSIVE DISORDER | 455757 | 1% | 100% | 1 | Search ACTIVE+MAJOR+DEPRESSIVE+DISORDER | Search ACTIVE+MAJOR+DEPRESSIVE+DISORDER |
| 6 | CAUTIOUS INFERENCE | 455757 | 1% | 100% | 1 | Search CAUTIOUS+INFERENCE | Search CAUTIOUS+INFERENCE |
| 7 | COMBINE LINK AND CONTENT | 455757 | 1% | 100% | 1 | Search COMBINE+LINK+AND+CONTENT | Search COMBINE+LINK+AND+CONTENT |
| 8 | COMORBIDITY PREDICTION | 455757 | 1% | 100% | 1 | Search COMORBIDITY+PREDICTION | Search COMORBIDITY+PREDICTION |
| 9 | COUNTING SET COVER | 455757 | 1% | 100% | 1 | Search COUNTING+SET+COVER | Search COUNTING+SET+COVER |
| 10 | DYADIC PREDICTION | 455757 | 1% | 100% | 1 | Search DYADIC+PREDICTION | Search DYADIC+PREDICTION |
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 | MCDOWELL, LK , AHA, DW , (2016) LEVERAGING NEIGHBOR ATTRIBUTES FOR CLASSIFICATION IN SPARSELY LABELED NETWORKS.ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA. VOL. 11. ISSUE 1. P. - | 9 | 43% | 0 |
| 2 | LOGLISCI, C , APPICE, A , MALERBA, D , (2016) COLLECTIVE REGRESSION FOR HANDLING AUTOCORRELATION OF NETWORK DATA IN A TRANSDUCTIVE SETTING.JOURNAL OF INTELLIGENT INFORMATION SYSTEMS. VOL. 46. ISSUE 3. P. 447 -472 | 6 | 55% | 0 |
| 3 | WANG, SK , YE, YM , LI, XT , HUANG, XH , LAU, RYK , (2017) SEMI-SUPERVISED COLLECTIVE CLASSIFICATION IN MULTI-ATTRIBUTE NETWORK DATA.NEURAL PROCESSING LETTERS. VOL. 45. ISSUE 1. P. 153 -172 | 4 | 57% | 0 |
| 4 | FANG, M , YIN, J , ZHU, XQ , ZHANG, CQ , (2015) TRGRAPH: CROSS-NETWORK TRANSFER LEARNING VIA COMMON SIGNATURE SUBGRAPHS.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. VOL. 27. ISSUE 9. P. 2536 -2549 | 4 | 57% | 0 |
| 5 | WANG, ZW , YIN, FJ , TAN, WT , XIAO, WD , (2013) CLASSIFICATION IN NETWORKED DATA WITH HETEROPHILY.SCIENTIFIC WORLD JOURNAL. VOL. . ISSUE . P. - | 3 | 75% | 0 |
| 6 | NEVILLE, J , GALLAGHER, B , ELIASSI-RAD, T , WANG, T , (2012) CORRECTING EVALUATION BIAS OF RELATIONAL CLASSIFIERS WITH NETWORK CROSS VALIDATION.KNOWLEDGE AND INFORMATION SYSTEMS. VOL. 30. ISSUE 1. P. 31 -55 | 4 | 57% | 0 |
| 7 | ZOU, DQ , QIN, H , JIN, H , (2016) UILOG: IMPROVING LOG-BASED FAULT DIAGNOSIS BY LOG ANALYSIS.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY. VOL. 31. ISSUE 5. P. 1038 -1052 | 2 | 100% | 0 |
| 8 | LOGLISCI, C , MALERBA, D , (2017) LEVERAGING TEMPORAL AUTOCORRELATION OF HISTORICAL DATA FOR IMPROVING ACCURACY IN NETWORK REGRESSION.STATISTICAL ANALYSIS AND DATA MINING. VOL. 10. ISSUE 1. P. 40 -53 | 4 | 40% | 0 |
| 9 | SHI, LX , ZHAO, YH , TANG, J , (2012) BATCH MODE ACTIVE LEARNING FOR NETWORKED DATA.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY. VOL. 3. ISSUE 2. P. - | 4 | 40% | 6 |
| 10 | MCDOWELL, LK , GUPTA, KM , AHA, DW , (2009) CAUTIOUS COLLECTIVE CLASSIFICATION.JOURNAL OF MACHINE LEARNING RESEARCH. VOL. 10. ISSUE . P. 2777 -2836 | 5 | 33% | 22 |
Classes with closest relation at Level 1 |