Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
24901 | 298 | 25.4 | 33% |
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 |
211 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//IEEE TRANSACTIONS ON NEURAL NETWORKS//DATA MINING | 51632 |
2216 | 2 | ASSOCIATION RULES//DATA MINING//FREQUENT ITEMSETS | 4819 |
24901 | 1 | PMML//CRISP DM//OLE DB | 298 |
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 | PMML | authKW | 307402 | 1% | 100% | 3 |
2 | CRISP DM | authKW | 256163 | 2% | 50% | 5 |
3 | OLE DB | authKW | 204934 | 1% | 100% | 2 |
4 | REMEDIAN | authKW | 204934 | 1% | 100% | 2 |
5 | SIMULTANEOUS CLASSIFICATION AND CLUSTERING LEARNING | authKW | 204934 | 1% | 100% | 2 |
6 | STRUCTURE IN DATA | authKW | 204934 | 1% | 100% | 2 |
7 | CLUSTERING LEARNING | authKW | 153698 | 1% | 50% | 3 |
8 | 1 NEAREST NEIGHBOUR | authKW | 102467 | 0% | 100% | 1 |
9 | ADV STUDIES COMM | address | 102467 | 0% | 100% | 1 |
10 | APPLICATIONS IN POWER | authKW | 102467 | 0% | 100% | 1 |
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 | 3181 | 27% | 0% | 81 |
2 | Computer Science, Information Systems | 2387 | 23% | 0% | 70 |
3 | Computer Science, Theory & Methods | 965 | 16% | 0% | 48 |
4 | Statistics & Probability | 607 | 11% | 0% | 34 |
5 | Medical Informatics | 472 | 5% | 0% | 15 |
6 | Information Science & Library Science | 318 | 5% | 0% | 16 |
7 | Computer Science, Software Engineering | 220 | 7% | 0% | 20 |
8 | Computer Science, Interdisciplinary Applications | 172 | 7% | 0% | 21 |
9 | Computer Science, Hardware & Architecture | 157 | 4% | 0% | 13 |
10 | Operations Research & Management Science | 123 | 5% | 0% | 15 |
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 | ADV STUDIES COMM | 102467 | 0% | 100% | 1 |
2 | BILGISAYAR EGITIMI BOLUMU | 102467 | 0% | 100% | 1 |
3 | CONTROLLER TECHNOL DEV | 102467 | 0% | 100% | 1 |
4 | DAVID GEFFEN MED BIOMATH | 102467 | 0% | 100% | 1 |
5 | DAVID GEFFEN MED HUMAN GENET | 102467 | 0% | 100% | 1 |
6 | DIGITAL PALOMAR OBSERV SKY SURVEY | 102467 | 0% | 100% | 1 |
7 | DOCUMENT ADM SERV | 102467 | 0% | 100% | 1 |
8 | HACI BEKTAS VELI MESLEK YUKSEK OKULU | 102467 | 0% | 100% | 1 |
9 | HILL 477 | 102467 | 0% | 100% | 1 |
10 | INFORMAT SIMD | 102467 | 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 | INFORMATION SYSTEMS MANAGEMENT | 12634 | 3% | 1% | 9 |
2 | AI MAGAZINE | 6845 | 2% | 1% | 7 |
3 | WIRTSCHAFTSINFORMATIK | 3660 | 2% | 1% | 5 |
4 | KNOWLEDGE ENGINEERING REVIEW | 2085 | 1% | 1% | 3 |
5 | DATA & KNOWLEDGE ENGINEERING | 2076 | 2% | 0% | 5 |
6 | KNOWLEDGE ORGANIZATION | 2021 | 1% | 1% | 3 |
7 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 1991 | 6% | 0% | 18 |
8 | STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS | 1820 | 1% | 1% | 3 |
9 | DATA MINING AND KNOWLEDGE DISCOVERY | 1579 | 1% | 1% | 3 |
10 | AMERICAN STATISTICIAN | 1479 | 2% | 0% | 5 |
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 | PMML | 307402 | 1% | 100% | 3 | Search PMML | Search PMML |
2 | CRISP DM | 256163 | 2% | 50% | 5 | Search CRISP+DM | Search CRISP+DM |
3 | OLE DB | 204934 | 1% | 100% | 2 | Search OLE+DB | Search OLE+DB |
4 | REMEDIAN | 204934 | 1% | 100% | 2 | Search REMEDIAN | Search REMEDIAN |
5 | SIMULTANEOUS CLASSIFICATION AND CLUSTERING LEARNING | 204934 | 1% | 100% | 2 | Search SIMULTANEOUS+CLASSIFICATION+AND+CLUSTERING+LEARNING | Search SIMULTANEOUS+CLASSIFICATION+AND+CLUSTERING+LEARNING |
6 | STRUCTURE IN DATA | 204934 | 1% | 100% | 2 | Search STRUCTURE+IN+DATA | Search STRUCTURE+IN+DATA |
7 | CLUSTERING LEARNING | 153698 | 1% | 50% | 3 | Search CLUSTERING+LEARNING | Search CLUSTERING+LEARNING |
8 | 1 NEAREST NEIGHBOUR | 102467 | 0% | 100% | 1 | Search 1+NEAREST+NEIGHBOUR | Search 1+NEAREST+NEIGHBOUR |
9 | APPLICATIONS IN POWER | 102467 | 0% | 100% | 1 | Search APPLICATIONS+IN+POWER | Search APPLICATIONS+IN+POWER |
10 | ASSOCIATION MEASUREMENT | 102467 | 0% | 100% | 1 | Search ASSOCIATION+MEASUREMENT | Search ASSOCIATION+MEASUREMENT |
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 | LIECHTY, JC , LIN, DKJ , MCDERMOTT, JP , (2003) SINGLE-PASS LOW-STORAGE ARBITRARY QUANTILE ESTIMATION FOR MASSIVE DATASETS.STATISTICS AND COMPUTING. VOL. 13. ISSUE 2. P. 91-100 | 6 | 100% | 6 |
2 | FAN, TH , LIN, DKJ , CHENG, KF , (2007) REGRESSION ANALYSIS FOR MASSIVE DATASETS.DATA & KNOWLEDGE ENGINEERING. VOL. 61. ISSUE 3. P. 554-562 | 5 | 100% | 3 |
3 | HURLEY, C , MODARRES, R , (1995) LOW-STORAGE QUANTILE ESTIMATION.COMPUTATIONAL STATISTICS. VOL. 10. ISSUE 4. P. 311-325 | 7 | 88% | 11 |
4 | KURGAN, LA , MUSILEK, P , (2006) A SURVEY OF KNOWLEDGE DISCOVERY AND DATA MINING PROCESS MODELS.KNOWLEDGE ENGINEERING REVIEW. VOL. 21. ISSUE 1. P. 1 -24 | 10 | 38% | 57 |
5 | FAN, TH , CHENG, KF , (2007) TESTS AND VARIABLES SELECTION ON REGRESSION ANALYSIS FOR MASSIVE DATASETS.DATA & KNOWLEDGE ENGINEERING. VOL. 63. ISSUE 3. P. 811-819 | 6 | 67% | 3 |
6 | LIANG, YZ , GAN, F , (2001) CHEMICAL KNOWLEDGE DISCOVERY FROM MASS SPECTRAL DATABASE I. ISOTOPE DISTRIBUTION AND BEYNON TABLE.ANALYTICA CHIMICA ACTA. VOL. 446. ISSUE 1-2. P. 115 -120 | 5 | 83% | 2 |
7 | BUCHANAN, BG , ECKROTH, J , SMITH, RG , (2013) A VIRTUAL ARCHIVE FOR THE HISTORY OF AI.AI MAGAZINE. VOL. 34. ISSUE 2. P. 86-98 | 3 | 100% | 0 |
8 | CHIANG, RHL , CECIL, CEH , LIM, EP , (2005) LINEAR CORRELATION DISCOVERY IN DATABASES: A DATA MINING APPROACH.DATA & KNOWLEDGE ENGINEERING. VOL. 53. ISSUE 3. P. 311 -337 | 6 | 60% | 6 |
9 | WANG, SH , WANG, H , (2004) CONCEPTUAL CONSTRUCTION ON INCOMPLETE SURVEY DATA.DATA & KNOWLEDGE ENGINEERING. VOL. 49. ISSUE 3. P. 311-323 | 6 | 60% | 3 |
10 | HASSANI, H , SAPORTA, G , SILVA, ES , (2014) DATA MINING AND OFFICIAL STATISTICS: THE PAST, THE PRESENT AND THE FUTURE.BIG DATA. VOL. 2. ISSUE 1. P. 34 -43 | 4 | 67% | 1 |
Classes with closest relation at Level 1 |