Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
2216 | 4819 | 30.5 | 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 | ASSOCIATION RULES | authKW | 1142533 | 8% | 47% | 383 |
2 | DATA MINING | authKW | 1042115 | 24% | 15% | 1135 |
3 | FREQUENT ITEMSETS | authKW | 543729 | 2% | 83% | 104 |
4 | SEQUENTIAL PATTERNS | authKW | 530720 | 2% | 70% | 119 |
5 | CUSTOMER RELATIONSHIP MANAGEMENT | authKW | 519076 | 4% | 45% | 184 |
6 | CUSTOMER LIFETIME VALUE | authKW | 397696 | 2% | 70% | 90 |
7 | FREQUENT PATTERNS | authKW | 304065 | 2% | 66% | 73 |
8 | FREQUENT PATTERN MINING | authKW | 292866 | 1% | 68% | 68 |
9 | UTILITY MINING | authKW | 235699 | 1% | 93% | 40 |
10 | INCREMENTAL MINING | authKW | 227089 | 1% | 81% | 44 |
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 | 157778 | 47% | 1% | 2270 |
2 | Computer Science, Information Systems | 64308 | 30% | 1% | 1452 |
3 | Operations Research & Management Science | 15452 | 13% | 0% | 634 |
4 | Business | 13962 | 10% | 0% | 489 |
5 | Computer Science, Theory & Methods | 8282 | 12% | 0% | 575 |
6 | Computer Science, Software Engineering | 3220 | 6% | 0% | 309 |
7 | Management | 2821 | 6% | 0% | 273 |
8 | Engineering, Electrical & Electronic | 2722 | 16% | 0% | 775 |
9 | Computer Science, Interdisciplinary Applications | 1814 | 6% | 0% | 281 |
10 | Information Science & Library Science | 1199 | 3% | 0% | 131 |
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 | IIIRC | 62070 | 0% | 70% | 14 |
2 | SHENZHEN INTERNET INFORMAT ABORAT | 53160 | 0% | 44% | 19 |
3 | HIIT BASIC UNIT | 30264 | 0% | 34% | 14 |
4 | ING FINANCIAL SERV | 28951 | 0% | 57% | 8 |
5 | INT WEB INTELLIGENCE CONSORTIUM WIC | 26392 | 0% | 83% | 5 |
6 | COMP SCI INFORMAT ENGN | 26194 | 4% | 2% | 213 |
7 | COMP SCI | 26189 | 17% | 1% | 805 |
8 | EXCELLENCE BRAND CUSTOMER MANAGEMENT | 24878 | 0% | 30% | 13 |
9 | INFORMAT MANAGEMENT | 23023 | 4% | 2% | 187 |
10 | PISA KDD | 22800 | 0% | 60% | 6 |
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 | DATA MINING AND KNOWLEDGE DISCOVERY | 141267 | 2% | 20% | 114 |
2 | EXPERT SYSTEMS WITH APPLICATIONS | 92361 | 8% | 4% | 393 |
3 | INTELLIGENT DATA ANALYSIS | 87738 | 2% | 15% | 92 |
4 | KNOWLEDGE AND INFORMATION SYSTEMS | 79353 | 2% | 11% | 115 |
5 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 65165 | 9% | 3% | 413 |
6 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 59968 | 4% | 6% | 169 |
7 | DATA & KNOWLEDGE ENGINEERING | 24429 | 1% | 6% | 69 |
8 | JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | 23313 | 1% | 8% | 47 |
9 | JOURNAL OF INTERACTIVE MARKETING | 21233 | 1% | 12% | 27 |
10 | KNOWLEDGE-BASED SYSTEMS | 20523 | 2% | 3% | 95 |
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 | ASSOCIATION RULES | 1142533 | 8% | 47% | 383 | Search ASSOCIATION+RULES | Search ASSOCIATION+RULES |
2 | DATA MINING | 1042115 | 24% | 15% | 1135 | Search DATA+MINING | Search DATA+MINING |
3 | FREQUENT ITEMSETS | 543729 | 2% | 83% | 104 | Search FREQUENT+ITEMSETS | Search FREQUENT+ITEMSETS |
4 | SEQUENTIAL PATTERNS | 530720 | 2% | 70% | 119 | Search SEQUENTIAL+PATTERNS | Search SEQUENTIAL+PATTERNS |
5 | CUSTOMER RELATIONSHIP MANAGEMENT | 519076 | 4% | 45% | 184 | Search CUSTOMER+RELATIONSHIP+MANAGEMENT | Search CUSTOMER+RELATIONSHIP+MANAGEMENT |
6 | CUSTOMER LIFETIME VALUE | 397696 | 2% | 70% | 90 | Search CUSTOMER+LIFETIME+VALUE | Search CUSTOMER+LIFETIME+VALUE |
7 | FREQUENT PATTERNS | 304065 | 2% | 66% | 73 | Search FREQUENT+PATTERNS | Search FREQUENT+PATTERNS |
8 | FREQUENT PATTERN MINING | 292866 | 1% | 68% | 68 | Search FREQUENT+PATTERN+MINING | Search FREQUENT+PATTERN+MINING |
9 | UTILITY MINING | 235699 | 1% | 93% | 40 | Search UTILITY+MINING | Search UTILITY+MINING |
10 | INCREMENTAL MINING | 227089 | 1% | 81% | 44 | Search INCREMENTAL+MINING | Search INCREMENTAL+MINING |
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 | LEE, GG , YUN, U , (2017) A NEW EFFICIENT APPROACH FOR MINING UNCERTAIN FREQUENT PATTERNS USING MINIMUM DATA STRUCTURE WITHOUT FALSE POSITIVES.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. VOL. 68. ISSUE . P. 89 -110 | 19 | 58% | 15 |
2 | LE, T , VO, B , (2016) THE LATTICE-BASED APPROACHES FOR MINING ASSOCIATION RULES: A REVIEW.WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY. VOL. 6. ISSUE 4. P. 140 -151 | 55 | 89% | 0 |
3 | RYANG, H , YUN, U , (2016) HIGH UTILITY PATTERN MINING OVER DATA STREAMS WITH SLIDING WINDOW TECHNIQUE.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 57. ISSUE . P. 214 -231 | 42 | 95% | 0 |
4 | DOROTIC, M , BIJMOLT, THA , VERHOEF, PC , (2012) LOYALTY PROGRAMMES: CURRENT KNOWLEDGE AND RESEARCH DIRECTIONS.INTERNATIONAL JOURNAL OF MANAGEMENT REVIEWS. VOL. 14. ISSUE 3. P. 217-237 | 57 | 71% | 11 |
5 | HAMROUNI, T , (2012) KEY ROLES OF CLOSED SETS AND MINIMAL GENERATORS IN CONCISE REPRESENTATIONS OF FREQUENT PATTERNS.INTELLIGENT DATA ANALYSIS. VOL. 16. ISSUE 4. P. 581 -631 | 52 | 79% | 4 |
6 | YUN, U , LEE, G , (2016) INCREMENTAL MINING OF WEIGHTED MAXIMAL FREQUENT ITEMSETS FROM DYNAMIC DATABASES.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 54. ISSUE . P. 304 -327 | 31 | 89% | 4 |
7 | LEE, G , YUN, U , RYANG, H , KIM, D , (2016) APPROXIMATE MAXIMAL FREQUENT PATTERN MINING WITH WEIGHT CONDITIONS AND ERROR TOLERANCE.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE. VOL. 30. ISSUE 6. P. - | 34 | 100% | 0 |
8 | DENG, ZH , (2016) DIFFNODESETS: AN EFFICIENT STRUCTURE FOR FAST MINING FREQUENT ITEMSETS.APPLIED SOFT COMPUTING. VOL. 41. ISSUE . P. 214 -223 | 29 | 100% | 2 |
9 | ABDALLAH, A , MAAROF, MA , ZAINAL, A , (2016) FRAUD DETECTION SYSTEM: A SURVEY.JOURNAL OF NETWORK AND COMPUTER APPLICATIONS. VOL. 67. ISSUE . P. 90 -113 | 46 | 67% | 1 |
10 | NGAI, EWT , XIU, L , CHAU, DCK , (2009) APPLICATION OF DATA MINING TECHNIQUES IN CUSTOMER RELATIONSHIP MANAGEMENT: A LITERATURE REVIEW AND CLASSIFICATION.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 36. ISSUE 2. P. 2592-2602 | 49 | 55% | 178 |
Classes with closest relation at Level 2 |