Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
1997 | 2393 | 33.8 | 59% |
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 | FEATURE SELECTION | authKW | 1615498 | 29% | 18% | 698 |
2 | GENE SELECTION | authKW | 1490674 | 7% | 71% | 165 |
3 | CANCER CLASSIFICATION | authKW | 759790 | 4% | 67% | 89 |
4 | MICROARRAY DATA | authKW | 276124 | 3% | 28% | 78 |
5 | GENE EXPRESSION DATA | authKW | 207409 | 3% | 24% | 67 |
6 | UNSUPERVISED FEATURE SELECTION | authKW | 170484 | 1% | 64% | 21 |
7 | MICROARRAY DATA CLASSIFICATION | authKW | 141323 | 1% | 92% | 12 |
8 | FEATURE SUBSET SELECTION | authKW | 128602 | 1% | 31% | 33 |
9 | FEATURE RANKING | authKW | 123293 | 1% | 33% | 29 |
10 | TUMOR CLASSIFICATION | authKW | 109448 | 1% | 30% | 29 |
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 | 58844 | 41% | 0% | 979 |
2 | Mathematical & Computational Biology | 31423 | 21% | 1% | 506 |
3 | Biochemical Research Methods | 6292 | 18% | 0% | 423 |
4 | Computer Science, Interdisciplinary Applications | 5243 | 13% | 0% | 313 |
5 | Biotechnology & Applied Microbiology | 3076 | 16% | 0% | 389 |
6 | Statistics & Probability | 2202 | 8% | 0% | 188 |
7 | Medical Informatics | 2072 | 4% | 0% | 90 |
8 | Computer Science, Information Systems | 1693 | 7% | 0% | 178 |
9 | Computer Science, Theory & Methods | 1606 | 8% | 0% | 185 |
10 | Engineering, Electrical & Electronic | 1210 | 15% | 0% | 368 |
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 | INTELLIGENT COMPUTAT | 39866 | 0% | 63% | 5 |
2 | IND SYST CONTROL | 26574 | 0% | 42% | 5 |
3 | INTELLIGENT SYS SCI | 25517 | 0% | 100% | 2 |
4 | Z TECH FDA | 25517 | 0% | 100% | 2 |
5 | INTELLIGENT COMP | 22653 | 1% | 11% | 16 |
6 | HEFEI INTELLIGENT MACHINES | 22109 | 1% | 9% | 19 |
7 | BIOINFORMAT CELL | 17010 | 0% | 67% | 2 |
8 | GLOBAL DISCOVERY DEV STAT | 17010 | 0% | 67% | 2 |
9 | AREA COMP SCI | 17006 | 0% | 33% | 4 |
10 | DEV ARTIFICIAL INTELLIGENCE LIDIA | 16780 | 0% | 26% | 5 |
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 | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS | 54657 | 2% | 10% | 43 |
2 | IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS | 37872 | 2% | 5% | 58 |
3 | BMC BIOINFORMATICS | 25578 | 5% | 2% | 123 |
4 | BIOINFORMATICS | 22993 | 6% | 1% | 139 |
5 | NEUROCOMPUTING | 12926 | 4% | 1% | 99 |
6 | INTELLIGENT DATA ANALYSIS | 11020 | 1% | 4% | 23 |
7 | EXPERT SYSTEMS WITH APPLICATIONS | 10096 | 4% | 1% | 92 |
8 | PATTERN RECOGNITION | 9828 | 3% | 1% | 73 |
9 | PATTERN RECOGNITION LETTERS | 9248 | 3% | 1% | 65 |
10 | ARTIFICIAL INTELLIGENCE IN MEDICINE | 8414 | 1% | 3% | 19 |
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 | FEATURE SELECTION | 1615498 | 29% | 18% | 698 | Search FEATURE+SELECTION | Search FEATURE+SELECTION |
2 | GENE SELECTION | 1490674 | 7% | 71% | 165 | Search GENE+SELECTION | Search GENE+SELECTION |
3 | CANCER CLASSIFICATION | 759790 | 4% | 67% | 89 | Search CANCER+CLASSIFICATION | Search CANCER+CLASSIFICATION |
4 | MICROARRAY DATA | 276124 | 3% | 28% | 78 | Search MICROARRAY+DATA | Search MICROARRAY+DATA |
5 | GENE EXPRESSION DATA | 207409 | 3% | 24% | 67 | Search GENE+EXPRESSION+DATA | Search GENE+EXPRESSION+DATA |
6 | UNSUPERVISED FEATURE SELECTION | 170484 | 1% | 64% | 21 | Search UNSUPERVISED+FEATURE+SELECTION | Search UNSUPERVISED+FEATURE+SELECTION |
7 | MICROARRAY DATA CLASSIFICATION | 141323 | 1% | 92% | 12 | Search MICROARRAY+DATA+CLASSIFICATION | Search MICROARRAY+DATA+CLASSIFICATION |
8 | FEATURE SUBSET SELECTION | 128602 | 1% | 31% | 33 | Search FEATURE+SUBSET+SELECTION | Search FEATURE+SUBSET+SELECTION |
9 | FEATURE RANKING | 123293 | 1% | 33% | 29 | Search FEATURE+RANKING | Search FEATURE+RANKING |
10 | TUMOR CLASSIFICATION | 109448 | 1% | 30% | 29 | Search TUMOR+CLASSIFICATION | Search TUMOR+CLASSIFICATION |
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 | ANG, JC , MIRZAL, A , HARON, H , HAMED, HNA , (2016) SUPERVISED, UNSUPERVISED, AND SEMI-SUPERVISED FEATURE SELECTION: A REVIEW ON GENE SELECTION.IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. VOL. 13. ISSUE 5. P. 971 -989 | 83 | 74% | 0 |
2 | BOLON-CANEDO, V , SANCHEZ-MARONO, N , ALONSO-BETANZOS, A , BENITEZ, JM , HERRERA, F , (2014) A REVIEW OF MICROARRAY DATASETS AND APPLIED FEATURE SELECTION METHODS.INFORMATION SCIENCES. VOL. 282. ISSUE . P. 111 -135 | 58 | 67% | 44 |
3 | XUE, B , ZHANG, MJ , BROWNE, WN , YAO, X , (2016) A SURVEY ON EVOLUTIONARY COMPUTATION APPROACHES TO FEATURE SELECTION.IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. VOL. 20. ISSUE 4. P. 606 -626 | 68 | 59% | 1 |
4 | MORADI, P , GHOLAMPOUR, M , (2016) A HYBRID PARTICLE SWARM OPTIMIZATION FOR FEATURE SUBSET SELECTION BY INTEGRATING A NOVEL LOCAL SEARCH STRATEGY.APPLIED SOFT COMPUTING. VOL. 43. ISSUE . P. 117 -130 | 45 | 69% | 3 |
5 | TABAKHI, S , NAJAFI, A , RANJBAR, R , MORADI, P , (2015) GENE SELECTION FOR MICROARRAY DATA CLASSIFICATION USING A NOVEL ANT COLONY OPTIMIZATION.NEUROCOMPUTING. VOL. 168. ISSUE . P. 1024 -1036 | 40 | 87% | 2 |
6 | BONILLA-HUERTA, E , HERNANDEZ-MONTIEL, A , MORALES-CAPORAL, R , ARJONA-LOPEZ, M , (2016) HYBRID FRAMEWORK USING MULTIPLE-FILTERS AND AN EMBEDDED APPROACH FOR AN EFFICIENT SELECTION AND CLASSIFICATION OF MICROARRAY DATA.IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. VOL. 13. ISSUE 1. P. 12 -26 | 34 | 94% | 1 |
7 | SAEYS, Y , INZA, I , LARRANAGA, P , (2007) A REVIEW OF FEATURE SELECTION TECHNIQUES IN BIOINFORMATICS.BIOINFORMATICS. VOL. 23. ISSUE 19. P. 2507 -2517 | 41 | 41% | 1131 |
8 | DADANEH, BZ , MARKID, HY , ZAKEROLHOSSEINI, A , (2016) UNSUPERVISED PROBABILISTIC FEATURE SELECTION USING ANT COLONY OPTIMIZATION.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 53. ISSUE . P. 27 -42 | 35 | 73% | 2 |
9 | LIU, HW , LIU, L , ZHANG, HJ , (2010) ENSEMBLE GENE SELECTION FOR CANCER CLASSIFICATION.PATTERN RECOGNITION. VOL. 43. ISSUE 8. P. 2763-2772 | 38 | 81% | 23 |
10 | SUN, SQ , PENG, QK , SHAKOOR, A , (2014) A KERNEL-BASED MULTIVARIATE FEATURE SELECTION METHOD FOR MICROARRAY DATA CLASSIFICATION.PLOS ONE. VOL. 9. ISSUE 7. P. - | 30 | 88% | 10 |
Classes with closest relation at Level 1 |