Class information for: |
Basic class information |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
12 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, INFORMATION SYSTEMS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 1181119 |
148 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//IEEE TRANSACTIONS ON NEURAL NETWORKS//ROUGH SETS | 65230 |
464 | 2 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//FEATURE SELECTION//SUPPORT VECTOR MACHINE | 16171 |
13142 | 1 | IMBALANCED DATASETS//IMBALANCED DATA//CLASS IMBALANCE | 888 |
Terms with highest relevance score |
rank | Category | termType | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|---|
1 | IMBALANCED DATASETS | authKW | 1390060 | 7% | 64% | 61 |
2 | IMBALANCED DATA | authKW | 1068820 | 7% | 47% | 64 |
3 | CLASS IMBALANCE | authKW | 1030568 | 7% | 44% | 66 |
4 | COST SENSITIVE LEARNING | authKW | 970961 | 7% | 45% | 61 |
5 | IMBALANCED CLASSIFICATION | authKW | 596925 | 3% | 58% | 29 |
6 | CLASS IMBALANCE PROBLEM | authKW | 554096 | 2% | 71% | 22 |
7 | SMOTE | authKW | 408117 | 3% | 50% | 23 |
8 | IMBALANCED LEARNING | authKW | 228136 | 2% | 43% | 15 |
9 | IMBALANCE DATASET | authKW | 212943 | 1% | 100% | 6 |
10 | COST SENSITIVE CLASSIFIER | authKW | 182520 | 1% | 86% | 6 |
Web of Science journal categories |
chi_square_rank | Category | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 55604 | 65% | 0% | 580 |
2 | Computer Science, Information Systems | 4522 | 19% | 0% | 169 |
3 | Computer Science, Theory & Methods | 957 | 10% | 0% | 85 |
4 | Engineering, Electrical & Electronic | 876 | 20% | 0% | 181 |
5 | Operations Research & Management Science | 671 | 7% | 0% | 59 |
6 | Computer Science, Interdisciplinary Applications | 570 | 7% | 0% | 66 |
7 | Mathematical & Computational Biology | 346 | 4% | 0% | 35 |
8 | Computer Science, Cybernetics | 258 | 2% | 0% | 15 |
9 | Computer Science, Software Engineering | 214 | 4% | 0% | 36 |
10 | Medical Informatics | 204 | 2% | 0% | 18 |
Address terms |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | THEORET EMPIR GRP | 106471 | 0% | 100% | 3 |
2 | DPTO INGN ELECT SISTEMAS AUTOMAT | 79852 | 0% | 75% | 3 |
3 | PUMPLIN BUSINESS | 70981 | 0% | 100% | 2 |
4 | CITIC UGR INFORMAT COMMUN TECHNOL | 70101 | 1% | 22% | 9 |
5 | DIGITAL BUSINESS MANAGEMENT | 39923 | 0% | 38% | 3 |
6 | ADV MULTIMEDIA SIGNAL PROC | 35490 | 0% | 100% | 1 |
7 | AI GRPSEKR FR58FRANKL R 2829 | 35490 | 0% | 100% | 1 |
8 | AIHARA COMPLEX MODELLING PROJECTS | 35490 | 0% | 100% | 1 |
9 | ALBERTA INNOVATES MACHINE LEARNING AICML COMP | 35490 | 0% | 100% | 1 |
10 | ARTIFICIAL INTELLIGENCE MANAGEMENT | 35490 | 0% | 100% | 1 |
Journals |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | MACHINE LEARNING | 11210 | 2% | 2% | 20 |
2 | PATTERN RECOGNITION | 10613 | 5% | 1% | 46 |
3 | KNOWLEDGE-BASED SYSTEMS | 10084 | 3% | 1% | 29 |
4 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 9466 | 3% | 1% | 29 |
5 | INTELLIGENT DATA ANALYSIS | 7888 | 1% | 2% | 12 |
6 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 6677 | 6% | 0% | 56 |
7 | KNOWLEDGE AND INFORMATION SYSTEMS | 6161 | 2% | 1% | 14 |
8 | DATA MINING AND KNOWLEDGE DISCOVERY | 5770 | 1% | 2% | 10 |
9 | PATTERN RECOGNITION LETTERS | 5710 | 3% | 1% | 31 |
10 | EXPERT SYSTEMS WITH APPLICATIONS | 5387 | 5% | 0% | 41 |
Author Key Words |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass | LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | IMBALANCED DATASETS | 1390060 | 7% | 64% | 61 | Search IMBALANCED+DATASETS | Search IMBALANCED+DATASETS |
2 | IMBALANCED DATA | 1068820 | 7% | 47% | 64 | Search IMBALANCED+DATA | Search IMBALANCED+DATA |
3 | CLASS IMBALANCE | 1030568 | 7% | 44% | 66 | Search CLASS+IMBALANCE | Search CLASS+IMBALANCE |
4 | COST SENSITIVE LEARNING | 970961 | 7% | 45% | 61 | Search COST+SENSITIVE+LEARNING | Search COST+SENSITIVE+LEARNING |
5 | IMBALANCED CLASSIFICATION | 596925 | 3% | 58% | 29 | Search IMBALANCED+CLASSIFICATION | Search IMBALANCED+CLASSIFICATION |
6 | CLASS IMBALANCE PROBLEM | 554096 | 2% | 71% | 22 | Search CLASS+IMBALANCE+PROBLEM | Search CLASS+IMBALANCE+PROBLEM |
7 | SMOTE | 408117 | 3% | 50% | 23 | Search SMOTE | Search SMOTE |
8 | IMBALANCED LEARNING | 228136 | 2% | 43% | 15 | Search IMBALANCED+LEARNING | Search IMBALANCED+LEARNING |
9 | IMBALANCE DATASET | 212943 | 1% | 100% | 6 | Search IMBALANCE+DATASET | Search IMBALANCE+DATASET |
10 | COST SENSITIVE CLASSIFIER | 182520 | 1% | 86% | 6 | Search COST+SENSITIVE+CLASSIFIER | Search COST+SENSITIVE+CLASSIFIER |
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 |