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 |
| 32722 | 1 | SPATIAL ASSOCIATION RULES//SPATIAL DATA MINING//COLOCATION PATTERNS | 148 |
Terms with highest relevance score |
| rank | Category | termType | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
|---|---|---|---|---|---|---|
| 1 | SPATIAL ASSOCIATION RULES | authKW | 1095183 | 4% | 86% | 6 |
| 2 | SPATIAL DATA MINING | authKW | 978218 | 14% | 22% | 21 |
| 3 | COLOCATION PATTERNS | authKW | 851810 | 3% | 100% | 4 |
| 4 | SPATIAL CO LOCATION PATTERNS | authKW | 851810 | 3% | 100% | 4 |
| 5 | COLOCATION MINING | authKW | 638858 | 2% | 100% | 3 |
| 6 | SPATIAL QUERY PROCESSING AND DATA MINING | authKW | 638858 | 2% | 100% | 3 |
| 7 | AREAL AGGREGATED DATA | authKW | 425905 | 1% | 100% | 2 |
| 8 | CO LOCATION PATTERN MINING | authKW | 425905 | 1% | 100% | 2 |
| 9 | CO OCCURRENCE PATTERN MINING | authKW | 425905 | 1% | 100% | 2 |
| 10 | COMPOSITE INTEREST MEASURE | authKW | 425905 | 1% | 100% | 2 |
Web of Science journal categories |
| chi_square_rank | Category | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
|---|---|---|---|---|---|
| 1 | Computer Science, Information Systems | 5893 | 52% | 0% | 77 |
| 2 | Computer Science, Artificial Intelligence | 5545 | 51% | 0% | 75 |
| 3 | Geography, Physical | 511 | 10% | 0% | 15 |
| 4 | Computer Science, Theory & Methods | 407 | 15% | 0% | 22 |
| 5 | Computer Science, Software Engineering | 195 | 9% | 0% | 13 |
| 6 | Operations Research & Management Science | 142 | 7% | 0% | 11 |
| 7 | Geography | 141 | 5% | 0% | 7 |
| 8 | Computer Science, Interdisciplinary Applications | 61 | 6% | 0% | 9 |
| 9 | Engineering, Electrical & Electronic | 60 | 14% | 0% | 21 |
| 10 | Information Science & Library Science | 60 | 3% | 0% | 5 |
Address terms |
| chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
|---|---|---|---|---|---|
| 1 | SPATIAL INFORMAT INTEGRAT | 425905 | 1% | 100% | 2 |
| 2 | CIENCIA COMP DCC UFMG | 212953 | 1% | 100% | 1 |
| 3 | COMP DECOM CEFET MG | 212953 | 1% | 100% | 1 |
| 4 | ELECT ENGN PROGRAM PPGEE UFMG | 212953 | 1% | 100% | 1 |
| 5 | ENGN ELETR DEE UFMG | 212953 | 1% | 100% | 1 |
| 6 | EVOLUTIONARY COMP LCE UFMG | 212953 | 1% | 100% | 1 |
| 7 | INTELLIGENT BUSINESS TECHNOL INC | 212953 | 1% | 100% | 1 |
| 8 | ITE 429 | 212953 | 1% | 100% | 1 |
| 9 | LEARNING LOWER SAX | 212953 | 1% | 100% | 1 |
| 10 | MUSEO HIST INFORMAT | 212953 | 1% | 100% | 1 |
Journals |
| chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
|---|---|---|---|---|---|
| 1 | GEOINFORMATICA | 38054 | 5% | 2% | 8 |
| 2 | DATA MINING AND KNOWLEDGE DISCOVERY | 8675 | 3% | 1% | 5 |
| 3 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 5486 | 6% | 0% | 9 |
| 4 | JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | 5479 | 3% | 1% | 4 |
| 5 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 4651 | 13% | 0% | 19 |
| 6 | WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY | 4192 | 1% | 1% | 2 |
| 7 | JOURNAL OF DATABASE MANAGEMENT | 4033 | 1% | 1% | 2 |
| 8 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY | 2084 | 1% | 0% | 2 |
| 9 | KNOWLEDGE AND INFORMATION SYSTEMS | 1699 | 2% | 0% | 3 |
| 10 | DATA & KNOWLEDGE ENGINEERING | 1537 | 2% | 0% | 3 |
Author Key Words |
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 |