Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
235 | 20237 | 30.0 | 43% |
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 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | WoSSC | 963171 | 57% | 6% | 11466 |
2 | FEATURE SELECTION | authKW | 423194 | 5% | 27% | 1041 |
3 | MACHINE LEARNING | journal | 334156 | 3% | 42% | 524 |
4 | SUPPORT VECTOR MACHINE | authKW | 308897 | 6% | 17% | 1230 |
5 | JOURNAL OF MACHINE LEARNING RESEARCH | journal | 204740 | 2% | 30% | 462 |
6 | INDUCTIVE LOGIC PROGRAMMING | authKW | 180185 | 1% | 75% | 160 |
7 | BOOSTING | authKW | 178473 | 1% | 41% | 288 |
8 | GENE SELECTION | authKW | 178121 | 1% | 71% | 166 |
9 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | journal | 167436 | 7% | 8% | 1359 |
10 | MULTI CLASS CLASSIFICATION | authKW | 162528 | 1% | 56% | 193 |
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 | 963171 | 57% | 6% | 11466 |
2 | Computer Science, Theory & Methods | 58228 | 15% | 1% | 3081 |
3 | Computer Science, Information Systems | 53617 | 14% | 1% | 2790 |
4 | Engineering, Electrical & Electronic | 18857 | 20% | 0% | 4006 |
5 | Mathematical & Computational Biology | 11736 | 5% | 1% | 952 |
6 | Statistics & Probability | 11714 | 6% | 1% | 1285 |
7 | Computer Science, Interdisciplinary Applications | 11257 | 7% | 1% | 1404 |
8 | Operations Research & Management Science | 9343 | 5% | 1% | 1073 |
9 | Automation & Control Systems | 7199 | 4% | 1% | 865 |
10 | Computer Science, Cybernetics | 6429 | 2% | 1% | 354 |
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 | COMP SCI | 101469 | 16% | 2% | 3251 |
2 | COMP SCI ENGN | 44544 | 5% | 3% | 1040 |
3 | COMP SCI TECHNOL | 33668 | 3% | 4% | 590 |
4 | NOVEL SOFTWARE TECHNOL | 30915 | 0% | 28% | 74 |
5 | SYST COMP NETWORKS | 25747 | 0% | 46% | 37 |
6 | MACHINE INTELLIGENCE UNIT | 20948 | 0% | 18% | 78 |
7 | COMP ENGN | 20550 | 3% | 3% | 514 |
8 | LIACC | 19623 | 0% | 29% | 45 |
9 | LEHRSTUHL MATH INFORMAT | 16469 | 0% | 58% | 19 |
10 | COMP | 15083 | 2% | 2% | 501 |
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 | MACHINE LEARNING | 334156 | 3% | 42% | 524 |
2 | JOURNAL OF MACHINE LEARNING RESEARCH | 204740 | 2% | 30% | 462 |
3 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 167436 | 7% | 8% | 1359 |
4 | PATTERN RECOGNITION | 138990 | 4% | 12% | 797 |
5 | NEUROCOMPUTING | 92826 | 4% | 8% | 772 |
6 | INTELLIGENT DATA ANALYSIS | 87983 | 1% | 31% | 189 |
7 | PATTERN RECOGNITION LETTERS | 82954 | 3% | 10% | 566 |
8 | EXPERT SYSTEMS WITH APPLICATIONS | 61807 | 3% | 6% | 663 |
9 | DATA MINING AND KNOWLEDGE DISCOVERY | 55731 | 1% | 25% | 147 |
10 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 51813 | 2% | 11% | 323 |
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 | 423194 | 5% | 27% | 1041 | Search FEATURE+SELECTION | Search FEATURE+SELECTION |
2 | SUPPORT VECTOR MACHINE | 308897 | 6% | 17% | 1230 | Search SUPPORT+VECTOR+MACHINE | Search SUPPORT+VECTOR+MACHINE |
3 | INDUCTIVE LOGIC PROGRAMMING | 180185 | 1% | 75% | 160 | Search INDUCTIVE+LOGIC+PROGRAMMING | Search INDUCTIVE+LOGIC+PROGRAMMING |
4 | BOOSTING | 178473 | 1% | 41% | 288 | Search BOOSTING | Search BOOSTING |
5 | GENE SELECTION | 178121 | 1% | 71% | 166 | Search GENE+SELECTION | Search GENE+SELECTION |
6 | MULTI CLASS CLASSIFICATION | 162528 | 1% | 56% | 193 | Search MULTI+CLASS+CLASSIFICATION | Search MULTI+CLASS+CLASSIFICATION |
7 | CLUSTERING | 153637 | 5% | 11% | 933 | Search CLUSTERING | Search CLUSTERING |
8 | CLASSIFICATION | 149473 | 7% | 7% | 1417 | Search CLASSIFICATION | Search CLASSIFICATION |
9 | MACHINE LEARNING | 144178 | 4% | 11% | 844 | Search MACHINE+LEARNING | Search MACHINE+LEARNING |
10 | FUZZY CLUSTERING | 139657 | 2% | 28% | 329 | Search FUZZY+CLUSTERING | Search FUZZY+CLUSTERING |
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 | GARCIA, S , DERRAC, J , CANO, JR , HERRERA, F , (2012) PROTOTYPE SELECTION FOR NEAREST NEIGHBOR CLASSIFICATION: TAXONOMY AND EMPIRICAL STUDY.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. VOL. 34. ISSUE 3. P. 417 -435 | 73 | 87% | 137 |
2 | GARCIA, S , LUENGO, J , HERRERA, F , (2016) TUTORIAL ON PRACTICAL TIPS OF THE MOST INFLUENTIAL DATA PREPROCESSING ALGORITHMS IN DATA MINING.KNOWLEDGE-BASED SYSTEMS. VOL. 98. ISSUE . P. 1 -29 | 86 | 75% | 3 |
3 | 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 | 70 | 81% | 44 |
4 | WOZNIAK, M , GRANA, M , CORCHADO, E , (2014) A SURVEY OF MULTIPLE CLASSIFIER SYSTEMS AS HYBRID SYSTEMS.INFORMATION FUSION. VOL. 16. ISSUE . P. 3 -17 | 77 | 55% | 112 |
5 | LOH, WY , (2014) FIFTY YEARS OF CLASSIFICATION AND REGRESSION TREES.INTERNATIONAL STATISTICAL REVIEW. VOL. 82. ISSUE 3. P. 329 -348 | 79 | 81% | 19 |
6 | ROKACH, L , (2016) DECISION FOREST: TWENTY YEARS OF RESEARCH.INFORMATION FUSION. VOL. 27. ISSUE . P. 111 -125 | 52 | 88% | 8 |
7 | LOPEZ, V , FERNANDEZ, A , GARCIA, S , PALADE, V , HERRERA, F , (2013) AN INSIGHT INTO CLASSIFICATION WITH IMBALANCED DATA: EMPIRICAL RESULTS AND CURRENT TRENDS ON USING DATA INTRINSIC CHARACTERISTICS.INFORMATION SCIENCES. VOL. 250. ISSUE . P. 113 -141 | 60 | 77% | 103 |
8 | KOTSIANTIS, SB , (2014) BAGGING AND BOOSTING VARIANTS FOR HANDLING CLASSIFICATIONS PROBLEMS: A SURVEY.KNOWLEDGE ENGINEERING REVIEW. VOL. 29. ISSUE 1. P. 78 -100 | 74 | 89% | 2 |
9 | FRENAY, B , VERLEYSEN, M , (2014) CLASSIFICATION IN THE PRESENCE OF LABEL NOISE: A SURVEY.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 25. ISSUE 5. P. 845 -869 | 79 | 56% | 65 |
10 | GALAR, M , FERNANDEZ, A , BARRENECHEA, E , BUSTINCE, H , HERRERA, F , (2012) A REVIEW ON ENSEMBLES FOR THE CLASS IMBALANCE PROBLEM: BAGGING-, BOOSTING-, AND HYBRID-BASED APPROACHES.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS. VOL. 42. ISSUE 4. P. 463 -484 | 50 | 79% | 214 |
Classes with closest relation at Level 2 |