Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
28138 | 213 | 21.2 | 43% |
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 |
2809 | 2 | FUZZY TIME SERIES//JOURNAL OF GREY SYSTEM//GM1 1 MODEL | 3073 |
28138 | 1 | SMALL DATA SET//INTERIOR OUTER SET MODEL//SMALL DATA SET LEARNING | 213 |
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 | SMALL DATA SET | authKW | 1966041 | 11% | 57% | 24 |
2 | INTERIOR OUTER SET MODEL | authKW | 1146869 | 4% | 100% | 8 |
3 | SMALL DATA SET LEARNING | authKW | 860152 | 3% | 100% | 6 |
4 | POSSIBILITY PROBABILITY DISTRIBUTION | authKW | 737272 | 3% | 86% | 6 |
5 | VIRTUAL SAMPLE GENERATION | authKW | 573435 | 2% | 100% | 4 |
6 | IND INFORMAT MANAGEMENT | address | 520049 | 19% | 9% | 40 |
7 | FUZZY RISK | authKW | 516086 | 3% | 60% | 6 |
8 | DISASTER PUBL SECUR | address | 458746 | 2% | 80% | 4 |
9 | COMP SCI COMP ENGN COMP EDUC | address | 430076 | 1% | 100% | 3 |
10 | DATA CONSTRUCTION METHOD | authKW | 430076 | 1% | 100% | 3 |
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, Artificial Intelligence | 2703 | 30% | 0% | 63 |
2 | Operations Research & Management Science | 2343 | 24% | 0% | 51 |
3 | Engineering, Manufacturing | 664 | 10% | 0% | 21 |
4 | Engineering, Industrial | 429 | 8% | 0% | 17 |
5 | Computer Science, Theory & Methods | 384 | 12% | 0% | 26 |
6 | Computer Science, Information Systems | 176 | 8% | 0% | 17 |
7 | Engineering, Electrical & Electronic | 136 | 17% | 0% | 36 |
8 | Mathematics, Interdisciplinary Applications | 134 | 6% | 0% | 13 |
9 | Statistics & Probability | 95 | 6% | 0% | 12 |
10 | Automation & Control Systems | 93 | 5% | 0% | 10 |
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 | IND INFORMAT MANAGEMENT | 520049 | 19% | 9% | 40 |
2 | DISASTER PUBL SECUR | 458746 | 2% | 80% | 4 |
3 | COMP SCI COMP ENGN COMP EDUC | 430076 | 1% | 100% | 3 |
4 | ATTD AUTOMAT AC PATHFINDING | 286717 | 1% | 100% | 2 |
5 | ADM TECHNOL MANAGEMENT | 143359 | 0% | 100% | 1 |
6 | ARTIFICIAL INTELLIGENT ROBOT CAIRO | 143359 | 0% | 100% | 1 |
7 | ENIVORNM CHANGE NAT DISASTER | 143359 | 0% | 100% | 1 |
8 | KOVERS | 143359 | 0% | 100% | 1 |
9 | OAU AEC | 143359 | 0% | 100% | 1 |
10 | PERMANENT DELEGAT | 143359 | 0% | 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 | INTERNATIONAL JOURNAL OF GENERAL SYSTEMS | 6576 | 3% | 1% | 7 |
2 | JOURNAL OF CRYSTAL AND MOLECULAR STRUCTURE | 4478 | 0% | 3% | 1 |
3 | HUMAN AND ECOLOGICAL RISK ASSESSMENT | 4133 | 3% | 0% | 7 |
4 | JOURNAL OF INTELLIGENT MANUFACTURING | 3166 | 3% | 0% | 6 |
5 | EXPERT SYSTEMS WITH APPLICATIONS | 3040 | 7% | 0% | 15 |
6 | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 2057 | 5% | 0% | 11 |
7 | JOURNAL OF GREY SYSTEM | 1459 | 1% | 1% | 2 |
8 | MATHEMATICAL GEOSCIENCES | 1311 | 1% | 0% | 2 |
9 | FUZZY SETS AND SYSTEMS | 1266 | 4% | 0% | 8 |
10 | EXPERT SYSTEMS | 992 | 1% | 0% | 2 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | SMALL DATA SET | 1966041 | 11% | 57% | 24 | Search SMALL+DATA+SET | Search SMALL+DATA+SET |
2 | INTERIOR OUTER SET MODEL | 1146869 | 4% | 100% | 8 | Search INTERIOR+OUTER+SET+MODEL | Search INTERIOR+OUTER+SET+MODEL |
3 | SMALL DATA SET LEARNING | 860152 | 3% | 100% | 6 | Search SMALL+DATA+SET+LEARNING | Search SMALL+DATA+SET+LEARNING |
4 | POSSIBILITY PROBABILITY DISTRIBUTION | 737272 | 3% | 86% | 6 | Search POSSIBILITY+PROBABILITY+DISTRIBUTION | Search POSSIBILITY+PROBABILITY+DISTRIBUTION |
5 | VIRTUAL SAMPLE GENERATION | 573435 | 2% | 100% | 4 | Search VIRTUAL+SAMPLE+GENERATION | Search VIRTUAL+SAMPLE+GENERATION |
6 | FUZZY RISK | 516086 | 3% | 60% | 6 | Search FUZZY+RISK | Search FUZZY+RISK |
7 | DATA CONSTRUCTION METHOD | 430076 | 1% | 100% | 3 | Search DATA+CONSTRUCTION+METHOD | Search DATA+CONSTRUCTION+METHOD |
8 | MEGA FUZZIFICATION | 430076 | 1% | 100% | 3 | Search MEGA+FUZZIFICATION | Search MEGA+FUZZIFICATION |
9 | VIRTUAL SAMPLE | 430070 | 3% | 50% | 6 | Search VIRTUAL+SAMPLE | Search VIRTUAL+SAMPLE |
10 | INFORMATION DIFFUSION | 367081 | 10% | 12% | 22 | Search INFORMATION+DIFFUSION | Search INFORMATION+DIFFUSION |
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 | CHEN, ZS , ZHU, B , HE, YL , YU, LA , (2017) A PSO BASED VIRTUAL SAMPLE GENERATION METHOD FOR SMALL SAMPLE SETS: APPLICATIONS TO REGRESSION DATASETS.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. VOL. 59. ISSUE . P. 236 -243 | 22 | 56% | 0 |
2 | LI, DC , WEN, IH , (2014) A GENETIC ALGORITHM-BASED VIRTUAL SAMPLE GENERATION TECHNIQUE TO IMPROVE SMALL DATA SET LEARNING.NEUROCOMPUTING. VOL. 143. ISSUE . P. 222 -230 | 17 | 71% | 6 |
3 | LI, DC , CHEN, WC , CHANG, CJ , CHEN, CC , WEN, IH , (2015) PRACTICAL INFORMATION DIFFUSION TECHNIQUES TO ACCELERATE NEW PRODUCT PILOT RUNS.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH. VOL. 53. ISSUE 17. P. 5310 -5319 | 15 | 56% | 0 |
4 | LIN, YS , LI, DC , (2010) THE GENERALIZED-TREND-DIFFUSION MODELING ALGORITHM FOR SMALL DATA SETS IN THE EARLY STAGES OF MANUFACTURING SYSTEMS.EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. VOL. 207. ISSUE 1. P. 121-130 | 14 | 56% | 8 |
5 | ZOU, Q , ZHOU, JZ , ZHOU, C , SONG, LX , GUO, J , LIU, Y , (2012) THE PRACTICAL RESEARCH ON FLOOD RISK ANALYSIS BASED ON IIOSM AND FUZZY ALPHA-CUT TECHNIQUE.APPLIED MATHEMATICAL MODELLING. VOL. 36. ISSUE 7. P. 3265-3276 | 12 | 63% | 2 |
6 | LI, DC , CHANG, CC , LIU, CW , CHEN, WC , (2013) A NEW APPROACH FOR MANUFACTURING FORECAST PROBLEMS WITH INSUFFICIENT DATA: THE CASE OF TFT-LCDS.JOURNAL OF INTELLIGENT MANUFACTURING. VOL. 24. ISSUE 2. P. 225-233 | 14 | 52% | 2 |
7 | HUANG, CF , (2006) AN APPROACH BASED ON ANALYTIC GEOMETRY TO PROVE THE PRINCIPLE OF INFORMATION DIFFUSION.DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS. VOL. 13. ISSUE . P. 146-150 | 8 | 100% | 0 |
8 | LI, DC , LIN, LS , PENG, LJ , (2014) IMPROVING LEARNING ACCURACY BY USING SYNTHETIC SAMPLES FOR SMALL DATASETS WITH NON-LINEAR ATTRIBUTE DEPENDENCY.DECISION SUPPORT SYSTEMS. VOL. 59. ISSUE . P. 286-295 | 8 | 80% | 1 |
9 | CHANG, CJ , LI, DC , DAI, WL , CHEN, CC , (2014) A LATENT INFORMATION FUNCTION TO EXTEND DOMAIN ATTRIBUTES TO IMPROVE THE ACCURACY OF SMALL-DATA-SET FORECASTING.NEUROCOMPUTING. VOL. 129. ISSUE . P. 343 -349 | 11 | 55% | 5 |
10 | TSAI, TI , LI, DC , (2008) UTILIZE BOOTSTRAP IN SMALL DATA SET LEARNING FOR PILOT RUN MODELING OF MANUFACTURING SYSTEMS.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 35. ISSUE 3. P. 1293-1300 | 8 | 89% | 7 |
Classes with closest relation at Level 1 |