Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
20487 | 458 | 29.8 | 31% |
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 |
75 | 3 | OPERATIONS RESEARCH & MANAGEMENT SCIENCE//ENGINEERING, INDUSTRIAL//EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 81966 |
1890 | 2 | CONSTRAINTS//BOUNDED ARITHMETIC//PROOF COMPLEXITY | 5963 |
20487 | 1 | QUANTIFIED BOOLEAN FORMULAS//MAX SAT//CONFIGURATION CHECKING | 458 |
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 | QUANTIFIED BOOLEAN FORMULAS | authKW | 687637 | 4% | 54% | 19 |
2 | MAX SAT | authKW | 668194 | 5% | 48% | 21 |
3 | CONFIGURATION CHECKING | authKW | 333351 | 1% | 100% | 5 |
4 | ALGORITHM PORTFOLIOS | authKW | 296980 | 2% | 64% | 7 |
5 | QBF | authKW | 272230 | 2% | 58% | 7 |
6 | PROPOSITIONAL SATISFIABILITY | authKW | 272216 | 3% | 29% | 14 |
7 | MAXIMUM SATISFIABILITY | authKW | 266664 | 3% | 33% | 12 |
8 | SAT | authKW | 226754 | 7% | 11% | 32 |
9 | SATISFIABILITY | authKW | 214338 | 8% | 9% | 36 |
10 | Q RESOLUTION | authKW | 213343 | 1% | 80% | 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 | Computer Science, Artificial Intelligence | 13253 | 44% | 0% | 203 |
2 | Computer Science, Theory & Methods | 10086 | 41% | 0% | 187 |
3 | Computer Science, Hardware & Architecture | 1046 | 9% | 0% | 40 |
4 | Logic | 993 | 3% | 0% | 15 |
5 | Computer Science, Software Engineering | 800 | 10% | 0% | 46 |
6 | Mathematics, Applied | 611 | 16% | 0% | 71 |
7 | Operations Research & Management Science | 527 | 8% | 0% | 37 |
8 | Computer Science, Information Systems | 302 | 7% | 0% | 33 |
9 | Computer Science, Interdisciplinary Applications | 277 | 7% | 0% | 33 |
10 | Computer Science, Cybernetics | 33 | 1% | 0% | 4 |
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 | FORMAL MODELS VERIFICAT | 192159 | 2% | 41% | 7 |
2 | IST INESC ID | 166670 | 1% | 50% | 5 |
3 | CSI CASL | 150006 | 1% | 75% | 3 |
4 | LERSIA | 88892 | 0% | 67% | 2 |
5 | ARTIFICIAL INTELLIGENCE 3A | 85715 | 1% | 43% | 3 |
6 | INTEGRATED INTELLIGENT SYST | 81466 | 2% | 11% | 11 |
7 | ADV VERIFICAT SYST | 66670 | 0% | 100% | 1 |
8 | AG MONIEN | 66670 | 0% | 100% | 1 |
9 | ATOPTECH | 66670 | 0% | 100% | 1 |
10 | BUSINESS INFORMAT GRP E188 3 | 66670 | 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 | JOURNAL OF AUTOMATED REASONING | 37950 | 4% | 3% | 20 |
2 | CONSTRAINTS | 25235 | 2% | 4% | 10 |
3 | ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE | 21862 | 4% | 2% | 17 |
4 | JOURNAL OF HEURISTICS | 18194 | 3% | 2% | 12 |
5 | ARTIFICIAL INTELLIGENCE | 16803 | 5% | 1% | 24 |
6 | AI COMMUNICATIONS | 15552 | 2% | 2% | 11 |
7 | LECTURE NOTES IN COMPUTER SCIENCE | 9402 | 24% | 0% | 112 |
8 | JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH | 9073 | 2% | 1% | 11 |
9 | INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS | 5196 | 2% | 1% | 7 |
10 | HIGH PERFORMANCE SYSTEMS-THE MAGAZINE FOR TECHNOLOGY CHAMPIONS | 5127 | 0% | 8% | 1 |
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 | QUANTIFIED BOOLEAN FORMULAS | 687637 | 4% | 54% | 19 | Search QUANTIFIED+BOOLEAN+FORMULAS | Search QUANTIFIED+BOOLEAN+FORMULAS |
2 | MAX SAT | 668194 | 5% | 48% | 21 | Search MAX+SAT | Search MAX+SAT |
3 | CONFIGURATION CHECKING | 333351 | 1% | 100% | 5 | Search CONFIGURATION+CHECKING | Search CONFIGURATION+CHECKING |
4 | ALGORITHM PORTFOLIOS | 296980 | 2% | 64% | 7 | Search ALGORITHM+PORTFOLIOS | Search ALGORITHM+PORTFOLIOS |
5 | QBF | 272230 | 2% | 58% | 7 | Search QBF | Search QBF |
6 | PROPOSITIONAL SATISFIABILITY | 272216 | 3% | 29% | 14 | Search PROPOSITIONAL+SATISFIABILITY | Search PROPOSITIONAL+SATISFIABILITY |
7 | MAXIMUM SATISFIABILITY | 266664 | 3% | 33% | 12 | Search MAXIMUM+SATISFIABILITY | Search MAXIMUM+SATISFIABILITY |
8 | SAT | 226754 | 7% | 11% | 32 | Search SAT | Search SAT |
9 | SATISFIABILITY | 214338 | 8% | 9% | 36 | Search SATISFIABILITY | Search SATISFIABILITY |
10 | Q RESOLUTION | 213343 | 1% | 80% | 4 | Search Q+RESOLUTION | Search Q+RESOLUTION |
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 | MORGADO, A , HERAS, F , LIFFITON, M , PLANES, J , MARQUES-SILVA, J , (2013) ITERATIVE AND CORE-GUIDED MAXSAT SOLVING: A SURVEY AND ASSESSMENT.CONSTRAINTS. VOL. 18. ISSUE 4. P. 478 -534 | 21 | 54% | 22 |
2 | HEULE, M , JARVISALO, M , LONSING, F , SEIDL, M , BIERE, A , (2015) CLAUSE ELIMINATION FOR SAT AND QSAT.JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH. VOL. 53. ISSUE . P. 127 -168 | 14 | 82% | 2 |
3 | HEULE, MJH , SEIDL, M , BIERE, A , (2017) SOLUTION VALIDATION AND EXTRACTION FOR QBF PREPROCESSING.JOURNAL OF AUTOMATED REASONING. VOL. 58. ISSUE 1. P. 97 -125 | 11 | 100% | 0 |
4 | LI, T , XIAO, NF , (2015) SOLVING QBF WITH HEURISTIC SMALL WORLD OPTIMIZATION SEARCH ALGORITHM.INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY. VOL. 12. ISSUE 4. P. 370 -378 | 10 | 91% | 1 |
5 | HERAS, F , LARROSA, J , OLIVERAS, A , (2008) MINIMAXSAT: AN EFFICIENT WEIGHTED MAX-SAT SOLVER.JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH. VOL. 31. ISSUE . P. 1 -32 | 11 | 85% | 46 |
6 | LI, CM , MANYA, F , PLANES, J , (2007) NEW INFERENCE RULES FOR MAX-SAT.JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH. VOL. 30. ISSUE . P. 321-359 | 15 | 63% | 44 |
7 | LI, CM , MANYA, F , PLANES, J , (2007) NEW INFERENCE RULES FOR MAX-SAT.JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH. VOL. 30. ISSUE . P. 321-359 | 15 | 63% | 44 |
8 | LU, Z , HAO, JK , (2012) ADAPTIVE MEMORY-BASED LOCAL SEARCH FOR MAX-SAT.APPLIED SOFT COMPUTING. VOL. 12. ISSUE 8. P. 2063 -2071 | 10 | 83% | 4 |
9 | LEYTON-BROWN, K , HOOS, HH , HUTTER, F , XU, L , (2014) UNDERSTANDING THE EMPIRICAL HARDNESS OF NP-COMPLETE PROBLEMS.COMMUNICATIONS OF THE ACM. VOL. 57. ISSUE 5. P. 98 -107 | 9 | 82% | 4 |
10 | MARTINS, R , MANQUINHO, V , LYNCE, I , (2015) IMPROVING LINEAR SEARCH ALGORITHMS WITH MODEL-BASED APPROACHES FOR MAXSAT SOLVING.JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE. VOL. 27. ISSUE 5. P. 673 -701 | 9 | 82% | 0 |
Classes with closest relation at Level 1 |