Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
25369 | 283 | 23.7 | 35% |
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 |
276 | 3 | FUZZY SETS AND SYSTEMS//ALGEBRA UNIVERSALIS//ROUGH SETS | 43335 |
360 | 2 | FUZZY SETS AND SYSTEMS//IEEE TRANSACTIONS ON FUZZY SYSTEMS//AGGREGATION OPERATOR | 17397 |
25369 | 1 | SYMBOLIC DATA ANALYSIS//INTERVAL VALUED DATA//SYMBOLIC DATA | 283 |
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 | SYMBOLIC DATA ANALYSIS | authKW | 4149917 | 18% | 77% | 50 |
2 | INTERVAL VALUED DATA | authKW | 2268549 | 10% | 73% | 29 |
3 | SYMBOLIC DATA | authKW | 701327 | 5% | 50% | 13 |
4 | INTERVAL DATA | authKW | 648015 | 11% | 19% | 31 |
5 | SYMBOLIC CLUSTERING | authKW | 587444 | 2% | 78% | 7 |
6 | SYMBOLIC INTERVAL DATA | authKW | 539492 | 2% | 100% | 5 |
7 | SYMBOLIC DISSIMILARITY | authKW | 431594 | 1% | 100% | 4 |
8 | ADAPTIVE DISTANCES | authKW | 388430 | 2% | 60% | 6 |
9 | HISTOGRAM DATA | authKW | 323695 | 1% | 100% | 3 |
10 | SYMBOLIC SIMILARITY | authKW | 287727 | 1% | 67% | 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 | 6864 | 41% | 0% | 115 |
2 | Statistics & Probability | 3394 | 27% | 0% | 76 |
3 | Computer Science, Theory & Methods | 325 | 10% | 0% | 28 |
4 | Computer Science, Interdisciplinary Applications | 291 | 9% | 0% | 26 |
5 | Materials Science, Characterization, Testing | 254 | 4% | 0% | 11 |
6 | Computer Science, Cybernetics | 185 | 2% | 0% | 7 |
7 | Psychology, Mathematical | 157 | 2% | 0% | 5 |
8 | Operations Research & Management Science | 131 | 5% | 0% | 15 |
9 | Mathematics, Interdisciplinary Applications | 130 | 5% | 0% | 15 |
10 | Mathematics, Applied | 125 | 10% | 0% | 27 |
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 | ACT SODAS | 107898 | 0% | 100% | 1 |
2 | BIOINFORMAT MATH MECH | 107898 | 0% | 100% | 1 |
3 | CIMPA PIMAD | 107898 | 0% | 100% | 1 |
4 | DEGROOTE PAIN | 107898 | 0% | 100% | 1 |
5 | DEMQ ECON QUANTITAT METHODS | 107898 | 0% | 100% | 1 |
6 | DIP STRATEGIE AZIENDALI METODOL QUANTITAT | 107898 | 0% | 100% | 1 |
7 | DIPARTIMENTO ISTITUZ ECON FINANZIARIE | 107898 | 0% | 100% | 1 |
8 | DIPARTIMENTO SCI POLIT J MONNET | 107898 | 0% | 100% | 1 |
9 | DIPARTIMENTO STRATEG AZIENDALI METODOL QUANTITA | 107898 | 0% | 100% | 1 |
10 | DIPARTIMENTO STRATEGIE AZIENDALI METODI QUANTIT | 107898 | 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 | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | 69057 | 4% | 6% | 11 |
2 | RELIABLE COMPUTING | 40457 | 1% | 13% | 3 |
3 | PATTERN RECOGNITION LETTERS | 17975 | 11% | 1% | 31 |
4 | RAIRO-AUTOMATIQUE-SYSTEMS ANALYSIS AND CONTROL | 17650 | 1% | 5% | 3 |
5 | CONTRIBUTIONS TO STATISTICS | 11017 | 3% | 1% | 9 |
6 | INDUSTRIAL LABORATORY | 10138 | 4% | 1% | 11 |
7 | STATISTICAL ANALYSIS AND DATA MINING | 7763 | 1% | 2% | 3 |
8 | RAIRO-AUTOMATIQUE-PRODUCTIQUE INFORMATIQUE INDUSTRIELLE-AUTOMATIC CONTROL PRODUCTION SYSTEMS | 6219 | 1% | 2% | 3 |
9 | INTELLIGENT DATA ANALYSIS | 4412 | 2% | 1% | 5 |
10 | COMPUTATIONAL STATISTICS & DATA ANALYSIS | 4263 | 5% | 0% | 14 |
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 | SYMBOLIC DATA ANALYSIS | 4149917 | 18% | 77% | 50 | Search SYMBOLIC+DATA+ANALYSIS | Search SYMBOLIC+DATA+ANALYSIS |
2 | INTERVAL VALUED DATA | 2268549 | 10% | 73% | 29 | Search INTERVAL+VALUED+DATA | Search INTERVAL+VALUED+DATA |
3 | SYMBOLIC DATA | 701327 | 5% | 50% | 13 | Search SYMBOLIC+DATA | Search SYMBOLIC+DATA |
4 | INTERVAL DATA | 648015 | 11% | 19% | 31 | Search INTERVAL+DATA | Search INTERVAL+DATA |
5 | SYMBOLIC CLUSTERING | 587444 | 2% | 78% | 7 | Search SYMBOLIC+CLUSTERING | Search SYMBOLIC+CLUSTERING |
6 | SYMBOLIC INTERVAL DATA | 539492 | 2% | 100% | 5 | Search SYMBOLIC+INTERVAL+DATA | Search SYMBOLIC+INTERVAL+DATA |
7 | SYMBOLIC DISSIMILARITY | 431594 | 1% | 100% | 4 | Search SYMBOLIC+DISSIMILARITY | Search SYMBOLIC+DISSIMILARITY |
8 | ADAPTIVE DISTANCES | 388430 | 2% | 60% | 6 | Search ADAPTIVE+DISTANCES | Search ADAPTIVE+DISTANCES |
9 | HISTOGRAM DATA | 323695 | 1% | 100% | 3 | Search HISTOGRAM+DATA | Search HISTOGRAM+DATA |
10 | SYMBOLIC SIMILARITY | 287727 | 1% | 67% | 4 | Search SYMBOLIC+SIMILARITY | Search SYMBOLIC+SIMILARITY |
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 | BRITO, P , (2014) SYMBOLIC DATA ANALYSIS: ANOTHER LOOK AT THE INTERACTION OF DATA MINING AND STATISTICS.WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY. VOL. 4. ISSUE 4. P. 281 -295 | 34 | 85% | 5 |
2 | NETO, EDL , DOS ANJOS, UU , (2015) REGRESSION MODEL FOR INTERVAL-VALUED VARIABLES BASED ON COPULAS.JOURNAL OF APPLIED STATISTICS. VOL. 42. ISSUE 9. P. 2010 -2029 | 21 | 91% | 0 |
3 | DE CARVALHO, FDT , BERTRAND, P , SIMOES, EC , (2016) BATCH SOM ALGORITHMS FOR INTERVAL-VALUED DATA WITH AUTOMATIC WEIGHTING OF THE VARIABLES.NEUROCOMPUTING. VOL. 182. ISSUE . P. 66 -81 | 20 | 69% | 0 |
4 | D'URSO, P , LESKI, JM , (2016) FUZZY C-ORDERED MEDOIDS CLUSTERING FOR INTERVAL-VALUED DATA.PATTERN RECOGNITION. VOL. 58. ISSUE . P. 49 -67 | 28 | 41% | 1 |
5 | MAIA, ALS , DE CARVALHO, FDT , (2011) HOLT'S EXPONENTIAL SMOOTHING AND NEURAL NETWORK MODELS FOR FORECASTING INTERVAL-VALUED TIME SERIES.INTERNATIONAL JOURNAL OF FORECASTING. VOL. 27. ISSUE 3. P. 740 -759 | 19 | 61% | 15 |
6 | BEZERRA, BLD , DE CARVALHO, FDT , (2011) SYMBOLIC DATA ANALYSIS TOOLS FOR RECOMMENDATION SYSTEMS.KNOWLEDGE AND INFORMATION SYSTEMS. VOL. 26. ISSUE 3. P. 385 -418 | 21 | 57% | 8 |
7 | DE CARVALHO, FDT , CSERNEL, M , LECHEVALLIER, Y , (2009) CLUSTERING CONSTRAINED SYMBOLIC DATA.PATTERN RECOGNITION LETTERS. VOL. 30. ISSUE 11. P. 1037-1045 | 15 | 83% | 2 |
8 | LIMA, ED , DE CARVALHO, FDT , (2010) CONSTRAINED LINEAR REGRESSION MODELS FOR SYMBOLIC INTERVAL-VALUED VARIABLESK.COMPUTATIONAL STATISTICS & DATA ANALYSIS. VOL. 54. ISSUE 2. P. 333-347 | 12 | 92% | 9 |
9 | RAMOS-GUAJARDO, AB , GRZEGORZEWSKI, P , (2016) DISTANCE-BASED LINEAR DISCRIMINANT ANALYSIS FOR INTERVAL-VALUED DATA.INFORMATION SCIENCES. VOL. 372. ISSUE . P. 591 -607 | 16 | 55% | 0 |
10 | CHUANG, CC , JENG, JT , CHANG, SC , (2013) HAUSDORFF DISTANCE MEASURE BASED INTERVAL FUZZY POSSIBILISTIE C-MEANS CLUSTERING ALGORITHM.INTERNATIONAL JOURNAL OF FUZZY SYSTEMS. VOL. 15. ISSUE 4. P. 471-479 | 10 | 91% | 0 |
Classes with closest relation at Level 1 |