Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
10371 | 1069 | 24.0 | 32% |
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 |
621 | 3 | MEMBRANE COMPUTING//THEORETICAL COMPUTER SCIENCE//LOGIC | 13680 |
1059 | 2 | MEMBRANE COMPUTING//THEORETICAL COMPUTER SCIENCE//P SYSTEMS | 10031 |
10371 | 1 | INDUCTIVE INFERENCE//GRAMMATICAL INFERENCE//IDENTIFICATION IN THE LIMIT | 1069 |
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 | INDUCTIVE INFERENCE | authKW | 2401461 | 12% | 65% | 130 |
2 | GRAMMATICAL INFERENCE | authKW | 1238513 | 7% | 62% | 70 |
3 | IDENTIFICATION IN THE LIMIT | authKW | 358890 | 2% | 74% | 17 |
4 | PATTERN LANGUAGES | authKW | 326415 | 2% | 57% | 20 |
5 | EURISE | address | 321477 | 2% | 51% | 22 |
6 | LEARNING IN THE LIMIT | authKW | 294641 | 1% | 74% | 14 |
7 | MIND CHANGES | authKW | 228503 | 1% | 100% | 8 |
8 | LOG KOMPLEXITAT DEDUKT SYST | address | 150254 | 1% | 48% | 11 |
9 | IDENTIFICATION IN THE LIMIT FROM POSITIVE DATA | authKW | 142814 | 0% | 100% | 5 |
10 | MULTIPLICITY AUTOMATA | authKW | 142814 | 0% | 100% | 5 |
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, Theory & Methods | 33874 | 49% | 0% | 522 |
2 | Computer Science, Artificial Intelligence | 21149 | 37% | 0% | 393 |
3 | Computer Science, Information Systems | 3542 | 15% | 0% | 164 |
4 | Logic | 2056 | 3% | 0% | 33 |
5 | Computer Science, Software Engineering | 1816 | 10% | 0% | 106 |
6 | Computer Science, Hardware & Architecture | 1725 | 7% | 0% | 79 |
7 | Mathematics, Applied | 1160 | 14% | 0% | 151 |
8 | History & Philosophy of Science | 195 | 2% | 0% | 17 |
9 | Philosophy | 91 | 2% | 0% | 18 |
10 | Computer Science, Cybernetics | 70 | 1% | 0% | 9 |
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 | EURISE | 321477 | 2% | 51% | 22 |
2 | LOG KOMPLEXITAT DEDUKT SYST | 150254 | 1% | 48% | 11 |
3 | SYDNEY KENSINGTON | 85689 | 0% | 100% | 3 |
4 | COMMERCIALISAT | 64910 | 0% | 45% | 5 |
5 | EA 3588 | 57126 | 0% | 100% | 2 |
6 | HUMANITIES 4 89 | 57126 | 0% | 100% | 2 |
7 | WEB INFORMAT TECHNOL WIT | 57126 | 0% | 100% | 2 |
8 | INGI | 47598 | 0% | 33% | 5 |
9 | ALGORITHMS COMPLEX 1 | 44623 | 0% | 31% | 5 |
10 | HBEREICH INFORMAT | 44429 | 3% | 5% | 31 |
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 | INFORMATION AND COMPUTATION | 72134 | 7% | 3% | 73 |
2 | THEORETICAL COMPUTER SCIENCE | 63201 | 14% | 1% | 154 |
3 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 56146 | 17% | 1% | 180 |
4 | JOURNAL OF COMPUTER AND SYSTEM SCIENCES | 35360 | 5% | 2% | 52 |
5 | MACHINE LEARNING | 20740 | 3% | 2% | 30 |
6 | INFORMATION AND CONTROL | 6827 | 1% | 3% | 9 |
7 | LECTURE NOTES IN COMPUTER SCIENCE | 5987 | 13% | 0% | 138 |
8 | JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 5598 | 1% | 2% | 11 |
9 | INFORMATION PROCESSING LETTERS | 5155 | 3% | 1% | 34 |
10 | NEW GENERATION COMPUTING | 4773 | 1% | 2% | 10 |
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 | INDUCTIVE INFERENCE | 2401461 | 12% | 65% | 130 | Search INDUCTIVE+INFERENCE | Search INDUCTIVE+INFERENCE |
2 | GRAMMATICAL INFERENCE | 1238513 | 7% | 62% | 70 | Search GRAMMATICAL+INFERENCE | Search GRAMMATICAL+INFERENCE |
3 | IDENTIFICATION IN THE LIMIT | 358890 | 2% | 74% | 17 | Search IDENTIFICATION+IN+THE+LIMIT | Search IDENTIFICATION+IN+THE+LIMIT |
4 | PATTERN LANGUAGES | 326415 | 2% | 57% | 20 | Search PATTERN+LANGUAGES | Search PATTERN+LANGUAGES |
5 | LEARNING IN THE LIMIT | 294641 | 1% | 74% | 14 | Search LEARNING+IN+THE+LIMIT | Search LEARNING+IN+THE+LIMIT |
6 | MIND CHANGES | 228503 | 1% | 100% | 8 | Search MIND+CHANGES | Search MIND+CHANGES |
7 | IDENTIFICATION IN THE LIMIT FROM POSITIVE DATA | 142814 | 0% | 100% | 5 | Search IDENTIFICATION+IN+THE+LIMIT+FROM+POSITIVE+DATA | Search IDENTIFICATION+IN+THE+LIMIT+FROM+POSITIVE+DATA |
8 | MULTIPLICITY AUTOMATA | 142814 | 0% | 100% | 5 | Search MULTIPLICITY+AUTOMATA | Search MULTIPLICITY+AUTOMATA |
9 | RECURSION THEORY | 137454 | 2% | 25% | 19 | Search RECURSION+THEORY | Search RECURSION+THEORY |
10 | GRAMMAR INDUCTION | 120957 | 1% | 35% | 12 | Search GRAMMAR+INDUCTION | Search GRAMMAR+INDUCTION |
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 | LANGE, S , ZEUGMANN, T , ZILLES, S , (2008) LEARNING INDEXED FAMILIES OF RECURSIVE LANGUAGES FROM POSITIVE DATA: A SURVEY.THEORETICAL COMPUTER SCIENCE. VOL. 397. ISSUE 1-3. P. 194 -232 | 50 | 93% | 19 |
2 | DE LA HIGUERA, C , (2005) A BIBLIOGRAPHICAL STUDY OF GRAMMATICAL INFERENCE.PATTERN RECOGNITION. VOL. 38. ISSUE 9. P. 1332 -1348 | 47 | 71% | 70 |
3 | ZEUGMANN, T , ZILLES, S , (2008) LEARNING RECURSIVE FUNCTIONS: A SURVEY.THEORETICAL COMPUTER SCIENCE. VOL. 397. ISSUE 1-3. P. 4 -56 | 36 | 88% | 12 |
4 | FERNAU, H , (2007) LEARNING TREE LANGUAGES FROM TEXT.RAIRO-THEORETICAL INFORMATICS AND APPLICATIONS. VOL. 41. ISSUE 4. P. 351 -374 | 32 | 94% | 0 |
5 | NG, YK , SHINOHARA, T , (2008) DEVELOPMENTS FROM ENQUIRIES INTO THE LEARNABILITY OF THE PATTERN LANGUAGES FROM POSITIVE DATA.THEORETICAL COMPUTER SCIENCE. VOL. 397. ISSUE 1-3. P. 150-165 | 29 | 91% | 19 |
6 | JAIN, S , (2011) HYPOTHESIS SPACES FOR LEARNING.INFORMATION AND COMPUTATION. VOL. 209. ISSUE 3. P. 513-527 | 24 | 96% | 1 |
7 | CARLUCCI, L , CASE, J , (2013) ON THE NECESSITY OF U-SHAPED LEARNING.TOPICS IN COGNITIVE SCIENCE. VOL. 5. ISSUE 1. P. 56-88 | 31 | 66% | 3 |
8 | REIDENBACH, D , (2008) DISCONTINUITIES IN PATTERN INFERENCE.THEORETICAL COMPUTER SCIENCE. VOL. 397. ISSUE 1-3. P. 166-193 | 19 | 100% | 9 |
9 | FREYDENBERGER, DD , REIDENBACH, D , (2013) INFERRING DESCRIPTIVE GENERALISATIONS OF FORMAL LANGUAGES.JOURNAL OF COMPUTER AND SYSTEM SCIENCES. VOL. 79. ISSUE 5. P. 622-639 | 17 | 100% | 1 |
10 | CASE, J , KOTZING, T , (2016) STRONGLY NON-U-SHAPED LANGUAGE LEARNING RESULTS BY GENERAL TECHNIQUES.INFORMATION AND COMPUTATION. VOL. 251. ISSUE . P. 1 -15 | 17 | 89% | 0 |
Classes with closest relation at Level 1 |