Class information for: |
Basic class information |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Category | termType | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|---|
1 | SELF ORGANIZING MAP | authKW | 744621 | 17% | 14% | 238 |
2 | COMPETITIVE LEARNING | authKW | 245742 | 3% | 23% | 47 |
3 | CLIN PSYCHOTHER Y | address | 216525 | 1% | 57% | 17 |
4 | NEURAL NETWORKS | address | 209353 | 3% | 25% | 38 |
5 | METRIC ADAPTATION | authKW | 179826 | 1% | 100% | 8 |
6 | SELF ORGANIZING MAP SOM | authKW | 169377 | 3% | 18% | 41 |
7 | SOM | authKW | 168890 | 4% | 15% | 51 |
8 | RELEVANCE LEARNING | authKW | 160553 | 1% | 71% | 10 |
9 | NEURAL GAS | authKW | 145636 | 1% | 36% | 18 |
10 | IT EDUC | address | 140332 | 1% | 39% | 16 |
Web of Science journal categories |
chi_square_rank | Category | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 80449 | 63% | 0% | 877 |
2 | Computer Science, Theory & Methods | 5231 | 17% | 0% | 241 |
3 | Computer Science, Information Systems | 1983 | 10% | 0% | 145 |
4 | Computer Science, Cybernetics | 1153 | 3% | 0% | 39 |
5 | Engineering, Electrical & Electronic | 968 | 18% | 0% | 246 |
6 | Neurosciences | 789 | 16% | 0% | 223 |
7 | Computer Science, Interdisciplinary Applications | 497 | 6% | 0% | 80 |
8 | Computer Science, Hardware & Architecture | 416 | 3% | 0% | 47 |
9 | Computer Science, Software Engineering | 263 | 4% | 0% | 51 |
10 | Automation & Control Systems | 81 | 2% | 0% | 28 |
Address terms |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | CLIN PSYCHOTHER Y | 216525 | 1% | 57% | 17 |
2 | NEURAL NETWORKS | 209353 | 3% | 25% | 38 |
3 | IT EDUC | 140332 | 1% | 39% | 16 |
4 | CITEC EXCELLENCE | 102751 | 1% | 57% | 8 |
5 | FUTURE SCI TECHNOL JOINT | 102163 | 1% | 45% | 10 |
6 | COMP LANGUAGES COMP SCI | 77508 | 1% | 27% | 13 |
7 | KLIN PSYCHOTHER IE | 70241 | 0% | 63% | 5 |
8 | CITEC CLUSTER EXCELLENCE | 67435 | 0% | 100% | 3 |
9 | NEURAL COMPUTAT GRP | 51375 | 0% | 57% | 4 |
10 | SEZ MATEMAT FINANZIARIA | 50575 | 0% | 75% | 3 |
Journals |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | NEURAL NETWORKS | 93594 | 8% | 4% | 116 |
2 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 60229 | 6% | 3% | 88 |
3 | NEUROCOMPUTING | 51388 | 11% | 2% | 153 |
4 | NEURAL PROCESSING LETTERS | 45779 | 3% | 4% | 46 |
5 | NEURAL COMPUTATION | 19941 | 3% | 2% | 48 |
6 | LECTURE NOTES IN COMPUTER SCIENCE | 11524 | 15% | 0% | 215 |
7 | NEURAL COMPUTING & APPLICATIONS | 8056 | 2% | 1% | 30 |
8 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 5810 | 1% | 2% | 13 |
9 | NEURAL NETWORK WORLD | 4587 | 1% | 2% | 10 |
10 | BIOLOGICAL CYBERNETICS | 4583 | 2% | 1% | 25 |
Author Key Words |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass | LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | SELF ORGANIZING MAP | 744621 | 17% | 14% | 238 | Search SELF+ORGANIZING+MAP | Search SELF+ORGANIZING+MAP |
2 | COMPETITIVE LEARNING | 245742 | 3% | 23% | 47 | Search COMPETITIVE+LEARNING | Search COMPETITIVE+LEARNING |
3 | METRIC ADAPTATION | 179826 | 1% | 100% | 8 | Search METRIC+ADAPTATION | Search METRIC+ADAPTATION |
4 | SELF ORGANIZING MAP SOM | 169377 | 3% | 18% | 41 | Search SELF+ORGANIZING+MAP+SOM | Search SELF+ORGANIZING+MAP+SOM |
5 | SOM | 168890 | 4% | 15% | 51 | Search SOM | Search SOM |
6 | RELEVANCE LEARNING | 160553 | 1% | 71% | 10 | Search RELEVANCE+LEARNING | Search RELEVANCE+LEARNING |
7 | NEURAL GAS | 145636 | 1% | 36% | 18 | Search NEURAL+GAS | Search NEURAL+GAS |
8 | LEARNING VECTOR QUANTIZATION | 127017 | 2% | 18% | 31 | Search LEARNING+VECTOR+QUANTIZATION | Search LEARNING+VECTOR+QUANTIZATION |
9 | KOHONEN MAPS | 120400 | 1% | 36% | 15 | Search KOHONEN+MAPS | Search KOHONEN+MAPS |
10 | GENERATIVE TOPOGRAPHIC MAPPING | 115100 | 1% | 39% | 13 | Search GENERATIVE+TOPOGRAPHIC+MAPPING | Search GENERATIVE+TOPOGRAPHIC+MAPPING |
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. |
Classes with closest relation at Level 1 |