Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
30480 | 168 | 24.4 | 36% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
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 | LOGICAL ANALYSIS OF DATA | authKW | 4062082 | 18% | 72% | 31 |
2 | LOGICAL ANALYSIS OF DATA LAD | authKW | 934758 | 4% | 86% | 6 |
3 | MONOTONE CLASSIFICATION | authKW | 908794 | 3% | 100% | 5 |
4 | MONOTONIC CLASSIFICATION | authKW | 654327 | 4% | 60% | 6 |
5 | PARTIALLY DEFINED BOOLEAN FUNCTIONS | authKW | 649136 | 3% | 71% | 5 |
6 | BINARY FUNCTIONS OF MULTIVALUED ARGUMENTS | authKW | 363518 | 1% | 100% | 2 |
7 | FUNCTIONS WITH FEW ZEROS | authKW | 363518 | 1% | 100% | 2 |
8 | MISSING BITS | authKW | 363518 | 1% | 100% | 2 |
9 | MIXED 0 1 INTEGER AND LINEAR PROGRAMMING | authKW | 363518 | 1% | 100% | 2 |
10 | MONOTONE RELABELING | authKW | 363518 | 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, Artificial Intelligence | 2624 | 33% | 0% | 55 |
2 | Operations Research & Management Science | 879 | 17% | 0% | 28 |
3 | Computer Science, Theory & Methods | 461 | 15% | 0% | 25 |
4 | Mathematics, Applied | 427 | 21% | 0% | 35 |
5 | Computer Science, Information Systems | 399 | 13% | 0% | 22 |
6 | COMPUTER APPLICATIONS & CYBERNETICS | 274 | 1% | 0% | 2 |
7 | Engineering, Manufacturing | 86 | 4% | 0% | 7 |
8 | Engineering, Electrical & Electronic | 78 | 15% | 0% | 25 |
9 | Computer Science, Software Engineering | 76 | 5% | 0% | 9 |
10 | Computer Science, Hardware & Architecture | 58 | 4% | 0% | 6 |
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 | RUTCOR | 204761 | 12% | 6% | 20 |
2 | CLIN PROTEOM PROGRAM THER EUT | 181759 | 1% | 100% | 1 |
3 | DIPARTIMENTO STAT PROBALI STAT PLICATE | 181759 | 1% | 100% | 1 |
4 | INTEGRAT QUAL PROD NETWORKS DEV DIQR | 181759 | 1% | 100% | 1 |
5 | IRCCYN UMR6597 | 181759 | 1% | 100% | 1 |
6 | PATHOLEA2363 | 181759 | 1% | 100% | 1 |
7 | PL MATH BROMETR PROC CONTROL | 181759 | 1% | 100% | 1 |
8 | PNEUMOLEA2363 | 181759 | 1% | 100% | 1 |
9 | RADIOLEA2363 | 181759 | 1% | 100% | 1 |
10 | RUTCOR RUTGERS | 181759 | 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 | ANNALS OF OPERATIONS RESEARCH | 6551 | 7% | 0% | 11 |
2 | DISCRETE APPLIED MATHEMATICS | 6255 | 9% | 0% | 15 |
3 | AVIATION WEEK & SPACE TECHNOLOGY | 5103 | 2% | 1% | 4 |
4 | USSR COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS | 3885 | 2% | 1% | 4 |
5 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 2954 | 4% | 0% | 7 |
6 | JOURNAL OF INTELLIGENT MANUFACTURING | 2788 | 3% | 0% | 5 |
7 | CYBERNETICS | 2436 | 1% | 1% | 2 |
8 | ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE | 1853 | 2% | 0% | 3 |
9 | COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS | 1578 | 2% | 0% | 4 |
10 | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | 960 | 1% | 1% | 1 |
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 | YAN, K , RYOO, HS , (2017) 0-1 MULTILINEAR PROGRAMMING AS A UNIFYING THEORY FOR LAD PATTERN GENERATION.DISCRETE APPLIED MATHEMATICS. VOL. 218. ISSUE . P. 21 -39 | 16 | 70% | 0 |
2 | CHOU, CA , CHAOVALITWONGSE, WA , LEE, C , BONATES, TO , (2017) MULTI-PATTERN GENERATION FRAMEWORK FOR LOGICAL ANALYSIS OF DATA.ANNALS OF OPERATIONS RESEARCH. VOL. 249. ISSUE 1-2. P. 329 -349 | 14 | 78% | 0 |
3 | ALEXE, G , ALEXE, S , BONATES, TO , KOGAN, A , (2007) LOGICAL ANALYSIS OF DATA - THE VISION OF PETER L. HAMMER.ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE. VOL. 49. ISSUE 1-4. P. 265 -312 | 19 | 59% | 11 |
4 | LEE, S , KANG, Y , IALONGO, NS , PRABHU, VV , (2016) PREDICTIVE ANALYTICS FOR DELIVERING PREVENTION SERVICES.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 55. ISSUE . P. 469 -479 | 12 | 67% | 0 |
5 | KIM, HH , CHOI, JY , (2015) PATTERN GENERATION FOR MULTI-CLASS LAD USING ITERATIVE GENETIC ALGORITHM WITH FLEXIBLE CHROMOSOMES AND MULTIPLE POPULATIONS.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 42. ISSUE 2. P. 833 -843 | 11 | 69% | 2 |
6 | HAMMER, PL , IBARAKI, T , KOGAN, A , MAKINO, K , BOROS, E , CRAMA, Y , (2011) LOGICAL ANALYSIS OF DATA: CLASSIFICATION WITH JUSTIFICATION.ANNALS OF OPERATIONS RESEARCH. VOL. 188. ISSUE 1. P. 33 -61 | 10 | 83% | 3 |
7 | HAN, J , KIM, N , JEONG, MK , YUM, BJ , (2011) COMPARISONS OF CLASSIFICATION METHODS IN THE ORIGINAL AND PATTERN SPACES.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 38. ISSUE 10. P. 12432-12438 | 7 | 100% | 1 |
8 | PEREZ-FERNANDEZ, R , RADEMAKER, M , ALONSO, P , DIAZ, I , MONTES, S , DE BAETS, B , (2016) REPRESENTATIONS OF VOTES FACILITATING MONOTONICITY-BASED RANKING RULES: FROM VOTRIX TO VOTEX.INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. VOL. 73. ISSUE . P. 87 -107 | 12 | 50% | 0 |
9 | HAMMER, PL , BONATES, TO , (2006) LOGICAL ANALYSIS OF DATA - AN OVERVIEW: FROM COMBINATORIAL OPTIMIZATION TO MEDICAL APPLICATIONS.ANNALS OF OPERATIONS RESEARCH. VOL. 148. ISSUE 1. P. 203-225 | 10 | 71% | 33 |
10 | GONZALEZ, S , HERRERA, F , GARCIA, S , (2015) MONOTONIC RANDOM FOREST WITH AN ENSEMBLE PRUNING MECHANISM BASED ON THE DEGREE OF MONOTONICITY.NEW GENERATION COMPUTING. VOL. 33. ISSUE 4. P. 367 -388 | 12 | 48% | 2 |
Classes with closest relation at Level 1 |