Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
30128 | 174 | 26.9 | 25% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
211 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//IEEE TRANSACTIONS ON NEURAL NETWORKS//DATA MINING | 51632 |
2216 | 2 | ASSOCIATION RULES//DATA MINING//FREQUENT ITEMSETS | 4819 |
30128 | 1 | SPATIAL ASSOCIATION RULES//SPATIAL DATA MINING//SPATIAL CO LOCATION PATTERNS | 174 |
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 | SPATIAL ASSOCIATION RULES | authKW | 902525 | 3% | 86% | 6 |
2 | SPATIAL DATA MINING | authKW | 728158 | 11% | 22% | 19 |
3 | SPATIAL CO LOCATION PATTERNS | authKW | 701965 | 2% | 100% | 4 |
4 | COLOCATION PATTERNS | authKW | 526474 | 2% | 100% | 3 |
5 | SPATIAL QUERY PROCESSING AND DATA MINING | authKW | 526474 | 2% | 100% | 3 |
6 | AREAL AGGREGATED DATA | authKW | 350983 | 1% | 100% | 2 |
7 | CO LOCATION PATTERN MINING | authKW | 350983 | 1% | 100% | 2 |
8 | CO OCCURRENCE PATTERN MINING | authKW | 350983 | 1% | 100% | 2 |
9 | COLOCATION MINING | authKW | 350983 | 1% | 100% | 2 |
10 | COMPOSITE INTEREST MEASURE | authKW | 350983 | 1% | 100% | 2 |
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, Information Systems | 4947 | 44% | 0% | 76 |
2 | Computer Science, Artificial Intelligence | 4887 | 44% | 0% | 76 |
3 | Engineering, Marine | 644 | 3% | 0% | 6 |
4 | Geography, Physical | 497 | 9% | 0% | 16 |
5 | Transportation Science & Technology | 425 | 6% | 0% | 11 |
6 | Computer Science, Theory & Methods | 306 | 12% | 0% | 21 |
7 | Geography | 250 | 6% | 0% | 10 |
8 | Computer Science, Software Engineering | 220 | 9% | 0% | 15 |
9 | Remote Sensing | 185 | 5% | 0% | 8 |
10 | Engineering, Civil | 128 | 8% | 0% | 14 |
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 | PL ENGN GEODESY | 350983 | 1% | 100% | 2 |
2 | AUSTRALIAN HOUSING | 175491 | 1% | 100% | 1 |
3 | CIENCIA COMP DCC UFMG | 175491 | 1% | 100% | 1 |
4 | COMP DECOM CEFET MG | 175491 | 1% | 100% | 1 |
5 | ELECT ENGN PROGRAM PPGEE UFMG | 175491 | 1% | 100% | 1 |
6 | ENGN ELETR DEE UFMG | 175491 | 1% | 100% | 1 |
7 | EVOLUTIONARY COMP LCE UFMG | 175491 | 1% | 100% | 1 |
8 | INTELLIGENT BUSINESS TECHNOL INC | 175491 | 1% | 100% | 1 |
9 | ITE 429 | 175491 | 1% | 100% | 1 |
10 | LEARNING LOWER SAX | 175491 | 1% | 100% | 1 |
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 | GEOINFORMATICA | 25278 | 4% | 2% | 7 |
2 | JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | 7327 | 3% | 1% | 5 |
3 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 7054 | 6% | 0% | 11 |
4 | JOURNAL OF NAVIGATION | 6098 | 3% | 1% | 6 |
5 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 5142 | 13% | 0% | 22 |
6 | DATA & KNOWLEDGE ENGINEERING | 5133 | 3% | 0% | 6 |
7 | DATA MINING AND KNOWLEDGE DISCOVERY | 4817 | 2% | 1% | 4 |
8 | WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY | 3790 | 1% | 1% | 2 |
9 | JOURNAL OF SPATIAL SCIENCE | 3671 | 1% | 1% | 2 |
10 | SURVEY REVIEW | 3055 | 2% | 1% | 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. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | YU, WH , (2016) SPATIAL CO-LOCATION PATTERN MINING FOR LOCATION-BASED SERVICES IN ROAD NETWORKS.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 46. ISSUE . P. 324 -335 | 13 | 68% | 3 |
2 | WANG, LZ , WU, PP , CHEN, HM , (2013) FINDING PROBABILISTIC PREVALENT COLOCATIONS IN SPATIALLY UNCERTAIN DATA SETS.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. VOL. 25. ISSUE 4. P. 790-804 | 8 | 89% | 4 |
3 | YAO, XJ , PENG, L , YANG, L , CHI, TH , (2016) A FAST SPACE-SAVING ALGORITHM FOR MAXIMAL CO-LOCATION PATTERN MINING.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 63. ISSUE . P. 310 -323 | 9 | 64% | 0 |
4 | SUNDARAM, VM , THANGAVELU, A , (2015) A DELAUNAY DIAGRAM-BASED MIN-MAX CP-TREE ALGORITHM FOR SPATIAL DATA ANALYSIS.WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY. VOL. 5. ISSUE 3. P. 142 -154 | 7 | 78% | 0 |
5 | YU, WH , AI, TH , HE, Y , SHAO, SW , (2017) SPATIAL CO-LOCATION PATTERN MINING OF FACILITY POINTS-OF-INTEREST IMPROVED BY NETWORK NEIGHBORHOOD AND DISTANCE DECAY EFFECTS.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. VOL. 31. ISSUE 2. P. 280 -296 | 9 | 47% | 0 |
6 | QIAN, F , HE, QM , CHIEW, K , HE, JF , (2012) SPATIAL CO-LOCATION PATTERN DISCOVERY WITHOUT THRESHOLDS.KNOWLEDGE AND INFORMATION SYSTEMS. VOL. 33. ISSUE 2. P. 419 -445 | 6 | 75% | 3 |
7 | QIAN, F , CHIEW, K , HE, QM , HUANG, H , (2014) MINING REGIONAL CO-LOCATION PATTERNS WITH KNNG.JOURNAL OF INTELLIGENT INFORMATION SYSTEMS. VOL. 42. ISSUE 3. P. 485 -505 | 7 | 54% | 2 |
8 | WANG, LZ , HAN, J , CHEN, HM , LU, JL , (2016) TOP-K PROBABILISTIC PREVALENT CO-LOCATION MINING IN SPATIALLY UNCERTAIN DATA SETS.FRONTIERS OF COMPUTER SCIENCE. VOL. 10. ISSUE 3. P. 488 -503 | 5 | 71% | 0 |
9 | ZHOU, GQ , WANG, LB , (2012) CO-LOCATION DECISION TREE FOR ENHANCING DECISION-MAKING OF PAVEMENT MAINTENANCE AND REHABILITATION.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. VOL. 21. ISSUE 1. P. 287 -305 | 8 | 47% | 4 |
10 | AKBARI, M , SAMADZADEGAN, F , (2015) IDENTIFICATION OF AIR POLLUTION PATTERNS USING A MODIFIED FUZZY CO-OCCURRENCE PATTERN MINING METHOD.INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY. VOL. 12. ISSUE 11. P. 3551 -3562 | 5 | 71% | 0 |
Classes with closest relation at Level 1 |