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 |
1215 | 2 | ROUGH SETS//DATA MINING//ASSOCIATION RULES | 9433 |
2064 | 1 | ASSOCIATION RULES//DATA MINING//FREQUENT ITEMSETS | 2406 |
Terms with highest relevance score |
rank | Category | termType | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|---|
1 | ASSOCIATION RULES | authKW | 1863043 | 15% | 41% | 350 |
2 | DATA MINING | authKW | 1171489 | 36% | 10% | 860 |
3 | FREQUENT ITEMSETS | authKW | 1161234 | 5% | 81% | 109 |
4 | SEQUENTIAL PATTERNS | authKW | 1096458 | 5% | 70% | 120 |
5 | FREQUENT PATTERNS | authKW | 559471 | 3% | 60% | 71 |
6 | UTILITY MINING | authKW | 554277 | 2% | 92% | 46 |
7 | INCREMENTAL MINING | authKW | 486196 | 2% | 81% | 46 |
8 | FREQUENT PATTERN MINING | authKW | 481279 | 3% | 58% | 63 |
9 | ASSOCIATION RULE MINING | authKW | 395855 | 4% | 34% | 89 |
10 | SEQUENTIAL PATTERN MINING | authKW | 383460 | 2% | 60% | 49 |
Web of Science journal categories |
chi_square_rank | Category | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 147097 | 65% | 1% | 1553 |
2 | Computer Science, Information Systems | 60871 | 42% | 0% | 1001 |
3 | Computer Science, Theory & Methods | 7855 | 16% | 0% | 388 |
4 | Operations Research & Management Science | 3704 | 9% | 0% | 223 |
5 | Computer Science, Software Engineering | 2440 | 8% | 0% | 187 |
6 | Engineering, Electrical & Electronic | 1669 | 18% | 0% | 423 |
7 | Computer Science, Interdisciplinary Applications | 878 | 6% | 0% | 139 |
8 | Computer Science, Hardware & Architecture | 589 | 3% | 0% | 74 |
9 | Computer Science, Cybernetics | 205 | 1% | 0% | 23 |
10 | Engineering, General | 120 | 2% | 0% | 54 |
Address terms |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | IIIRC | 122234 | 1% | 67% | 14 |
2 | SHENZHEN INTERNET INFORMAT ABORAT | 107437 | 1% | 43% | 19 |
3 | HIIT BASIC UNIT | 62594 | 1% | 34% | 14 |
4 | COMP SCI INFORMAT ENGN | 56485 | 9% | 2% | 221 |
5 | NAT SCI HUMANITIES | 49392 | 1% | 19% | 20 |
6 | PISA KDD | 47146 | 0% | 60% | 6 |
7 | ADV DATABASE MODELLING | 39292 | 0% | 100% | 3 |
8 | ARTIFICIAL INTELLIGENCE INFRASTRUCT INFORM | 39292 | 0% | 100% | 3 |
9 | FUQLING BRANCH | 39292 | 0% | 100% | 3 |
10 | COMP SCI | 35706 | 28% | 0% | 662 |
Journals |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | DATA MINING AND KNOWLEDGE DISCOVERY | 165309 | 4% | 14% | 88 |
2 | KNOWLEDGE AND INFORMATION SYSTEMS | 151232 | 5% | 10% | 114 |
3 | INTELLIGENT DATA ANALYSIS | 132881 | 3% | 13% | 81 |
4 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 72565 | 5% | 4% | 132 |
5 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 69877 | 12% | 2% | 297 |
6 | EXPERT SYSTEMS WITH APPLICATIONS | 31966 | 7% | 2% | 164 |
7 | DATA & KNOWLEDGE ENGINEERING | 27331 | 2% | 4% | 51 |
8 | INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING | 25373 | 1% | 12% | 16 |
9 | KNOWLEDGE-BASED SYSTEMS | 24887 | 3% | 3% | 75 |
10 | WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY | 23257 | 1% | 9% | 19 |
Author Key Words |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass | LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | ASSOCIATION RULES | 1863043 | 15% | 41% | 350 | Search ASSOCIATION+RULES | Search ASSOCIATION+RULES |
2 | DATA MINING | 1171489 | 36% | 10% | 860 | Search DATA+MINING | Search DATA+MINING |
3 | FREQUENT ITEMSETS | 1161234 | 5% | 81% | 109 | Search FREQUENT+ITEMSETS | Search FREQUENT+ITEMSETS |
4 | SEQUENTIAL PATTERNS | 1096458 | 5% | 70% | 120 | Search SEQUENTIAL+PATTERNS | Search SEQUENTIAL+PATTERNS |
5 | FREQUENT PATTERNS | 559471 | 3% | 60% | 71 | Search FREQUENT+PATTERNS | Search FREQUENT+PATTERNS |
6 | UTILITY MINING | 554277 | 2% | 92% | 46 | Search UTILITY+MINING | Search UTILITY+MINING |
7 | INCREMENTAL MINING | 486196 | 2% | 81% | 46 | Search INCREMENTAL+MINING | Search INCREMENTAL+MINING |
8 | FREQUENT PATTERN MINING | 481279 | 3% | 58% | 63 | Search FREQUENT+PATTERN+MINING | Search FREQUENT+PATTERN+MINING |
9 | ASSOCIATION RULE MINING | 395855 | 4% | 34% | 89 | Search ASSOCIATION+RULE+MINING | Search ASSOCIATION+RULE+MINING |
10 | SEQUENTIAL PATTERN MINING | 383460 | 2% | 60% | 49 | Search SEQUENTIAL+PATTERN+MINING | Search SEQUENTIAL+PATTERN+MINING |
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 |