Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
16439 | 653 | 20.1 | 46% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
18 | 4 | THERMODYNAMICS//ENERGY & FUELS//ENGINEERING, CHEMICAL | 531182 |
566 | 3 | COMPUTERS & CHEMICAL ENGINEERING//REACTIVE DISTILLATION//ENGINEERING, CHEMICAL | 17034 |
426 | 2 | COMPUTERS & CHEMICAL ENGINEERING//REACTIVE DISTILLATION//ENGINEERING, CHEMICAL | 16415 |
16439 | 1 | DATA RECONCILIATION//GROSS ERROR DETECTION//DYNAMIC DATA RECONCILIATION | 653 |
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 | DATA RECONCILIATION | authKW | 3825205 | 19% | 65% | 125 |
2 | GROSS ERROR DETECTION | authKW | 1394541 | 6% | 76% | 39 |
3 | DYNAMIC DATA RECONCILIATION | authKW | 654645 | 2% | 100% | 14 |
4 | SENSOR NETWORK DESIGN | authKW | 359194 | 2% | 59% | 13 |
5 | INSTRUMENTATION DESIGN | authKW | 291348 | 1% | 69% | 9 |
6 | STREAM SAMPLING | authKW | 286406 | 1% | 88% | 7 |
7 | GROSS ERRORS | authKW | 224435 | 2% | 40% | 12 |
8 | DATA RECTIFICATION | authKW | 208291 | 1% | 64% | 7 |
9 | NONLINEAR DYNAMIC DATA RECONCILIATION | authKW | 187041 | 1% | 100% | 4 |
10 | SAMPLING CORRECTNESS | authKW | 187041 | 1% | 100% | 4 |
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 | Engineering, Chemical | 19591 | 71% | 0% | 464 |
2 | Mining & Mineral Processing | 6647 | 10% | 0% | 68 |
3 | Computer Science, Interdisciplinary Applications | 3897 | 21% | 0% | 138 |
4 | Mineralogy | 1276 | 6% | 0% | 42 |
5 | Automation & Control Systems | 1040 | 9% | 0% | 56 |
6 | Engineering, Petroleum | 106 | 1% | 0% | 9 |
7 | Engineering, General | 92 | 3% | 0% | 22 |
8 | Energy & Fuels | 80 | 4% | 0% | 29 |
9 | Computer Science, Artificial Intelligence | 57 | 3% | 0% | 20 |
10 | Materials Science, Paper & Wood | 57 | 1% | 0% | 8 |
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 | LOOP PROC OBSERVAT OPTIMIZAT | 140281 | 0% | 100% | 3 |
2 | COMPLEJO CRIBABB | 116896 | 1% | 50% | 5 |
3 | GIDECC | 93521 | 0% | 100% | 2 |
4 | CIENCIAS INGN COMPUTAC | 64736 | 1% | 23% | 6 |
5 | BAYTOWN CHEM PLANT | 62346 | 0% | 67% | 2 |
6 | WATER QUAL OURCE MANAGEMENT | 62346 | 0% | 67% | 2 |
7 | WYDZIALE ZARZADZANIA | 62346 | 0% | 67% | 2 |
8 | LIDECC | 57546 | 1% | 31% | 4 |
9 | AUTOMAT RECH PL | 46760 | 0% | 100% | 1 |
10 | AUTOMATISIERUNGS SYSTEMTECH | 46760 | 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 | COMPUTERS & CHEMICAL ENGINEERING | 124912 | 20% | 2% | 131 |
2 | AICHE JOURNAL | 25192 | 11% | 1% | 73 |
3 | INTERNATIONAL JOURNAL OF MINERAL PROCESSING | 16215 | 5% | 1% | 30 |
4 | RYNEK ENERGII | 15897 | 1% | 4% | 9 |
5 | INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH | 10637 | 12% | 0% | 79 |
6 | MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW | 6616 | 1% | 2% | 6 |
7 | JOURNAL OF PROCESS CONTROL | 4536 | 2% | 1% | 14 |
8 | CIM BULLETIN | 2017 | 1% | 1% | 7 |
9 | ARTIFICIAL INTELLIGENCE IN ENGINEERING | 1677 | 0% | 1% | 3 |
10 | HYDROCARBON PROCESSING | 1632 | 1% | 1% | 7 |
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 | DATA RECONCILIATION | 3825205 | 19% | 65% | 125 | Search DATA+RECONCILIATION | Search DATA+RECONCILIATION |
2 | GROSS ERROR DETECTION | 1394541 | 6% | 76% | 39 | Search GROSS+ERROR+DETECTION | Search GROSS+ERROR+DETECTION |
3 | DYNAMIC DATA RECONCILIATION | 654645 | 2% | 100% | 14 | Search DYNAMIC+DATA+RECONCILIATION | Search DYNAMIC+DATA+RECONCILIATION |
4 | SENSOR NETWORK DESIGN | 359194 | 2% | 59% | 13 | Search SENSOR+NETWORK+DESIGN | Search SENSOR+NETWORK+DESIGN |
5 | INSTRUMENTATION DESIGN | 291348 | 1% | 69% | 9 | Search INSTRUMENTATION+DESIGN | Search INSTRUMENTATION+DESIGN |
6 | STREAM SAMPLING | 286406 | 1% | 88% | 7 | Search STREAM+SAMPLING | Search STREAM+SAMPLING |
7 | GROSS ERRORS | 224435 | 2% | 40% | 12 | Search GROSS+ERRORS | Search GROSS+ERRORS |
8 | DATA RECTIFICATION | 208291 | 1% | 64% | 7 | Search DATA+RECTIFICATION | Search DATA+RECTIFICATION |
9 | NONLINEAR DYNAMIC DATA RECONCILIATION | 187041 | 1% | 100% | 4 | Search NONLINEAR+DYNAMIC+DATA+RECONCILIATION | Search NONLINEAR+DYNAMIC+DATA+RECONCILIATION |
10 | SAMPLING CORRECTNESS | 187041 | 1% | 100% | 4 | Search SAMPLING+CORRECTNESS | Search SAMPLING+CORRECTNESS |
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 | MIAO, Y , SU, HY , GANG, R , CHU, J , (2009) INDUSTRIAL PROCESSES: DATA RECONCILIATION AND GROSS ERROR DETECTION.MEASUREMENT & CONTROL. VOL. 42. ISSUE 7. P. 209-215 | 65 | 96% | 1 |
2 | PRATA, DM , SCHWAAB, M , LIMA, EL , PINTO, JC , (2009) NONLINEAR DYNAMIC DATA RECONCILIATION AND PARAMETER ESTIMATION THROUGH PARTICLE SWARM OPTIMIZATION: APPLICATION FOR AN INDUSTRIAL POLYPROPYLENE REACTOR.CHEMICAL ENGINEERING SCIENCE. VOL. 64. ISSUE 18. P. 3953 -3967 | 45 | 78% | 31 |
3 | CROWE, CM , (1996) DATA RECONCILIATION - PROGRESS AND CHALLENGES.JOURNAL OF PROCESS CONTROL. VOL. 6. ISSUE 2-3. P. 89-98 | 50 | 93% | 100 |
4 | NGUYEN, D , BAGAJEWICZ, MJ , (2013) EFFICIENT APPROXIMATE METHODS FOR THE DESIGN AND UPGRADE OF SENSOR NETWORKS.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. VOL. 52. ISSUE 1. P. 83-90 | 30 | 94% | 3 |
5 | NGUYEN, D , BAGAJEWICZ, MJ , (2011) NEW SENSOR NETWORK DESIGN AND RETROFIT METHOD BASED ON VALUE OF INFORMATION.AICHE JOURNAL. VOL. 57. ISSUE 8. P. 2136-2148 | 27 | 100% | 6 |
6 | PAUL, P , BHATTACHARYYA, D , TURTON, R , ZITNEY, SE , (2015) SENSOR NETWORK DESIGN FOR MAXIMIZING PROCESS EFFICIENCY: AN ALGORITHM AND ITS APPLICATION.AICHE JOURNAL. VOL. 61. ISSUE 2. P. 464 -476 | 29 | 81% | 2 |
7 | NGUYEN, D , SUGUMAR, SK , BAGAJEWICZ, MJ , (2011) SOFTWARE ACCURACY-BASED SENSOR NETWORK DESIGN AND UPGRADE IN PROCESS PLANTS.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. VOL. 50. ISSUE 9. P. 4850-4857 | 25 | 96% | 1 |
8 | VASEBI, A , POULIN, E , HODOUIN, D , (2014) SELECTING PROPER UNCERTAINTY MODEL FOR STEADY-STATE DATA RECONCILIATION - APPLICATION TO MINERAL AND METAL PROCESSING INDUSTRIES.MINERALS ENGINEERING. VOL. 65. ISSUE . P. 130 -144 | 27 | 79% | 5 |
9 | PRATA, DM , SCHWAAB, M , LIMA, EL , PINTO, JC , (2010) SIMULTANEOUS ROBUST DATA RECONCILIATION AND GROSS ERROR DETECTION THROUGH PARTICLE SWARM OPTIMIZTION FOR AN INDUSTRIAL POLYPROPYLENE REACTOR.CHEMICAL ENGINEERING SCIENCE. VOL. 65. ISSUE 17. P. 4943 -4954 | 30 | 75% | 23 |
10 | MARTINEZ-MARADIAGA, D , BRUNO, JC , CORONAS, A , (2013) STEADY-STATE DATA RECONCILIATION FOR ABSORPTION REFRIGERATION SYSTEMS.APPLIED THERMAL ENGINEERING. VOL. 51. ISSUE 1-2. P. 1170-1180 | 29 | 71% | 10 |
Classes with closest relation at Level 1 |