Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
19412 | 507 | 23.7 | 28% |
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 |
20 | 3 | COMPUTER SCIENCE, INFORMATION SYSTEMS//COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, SOFTWARE ENGINEERING | 118625 |
1774 | 2 | PACKET CLASSIFICATION//SPATIAL DATABASES//SIMILARITY SEARCH | 6381 |
19412 | 1 | HEAVY HITTERS//DATA STREAMS//IP FLOWS | 507 |
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 | HEAVY HITTERS | authKW | 578169 | 2% | 80% | 12 |
2 | DATA STREAMS | authKW | 433735 | 11% | 12% | 58 |
3 | IP FLOWS | authKW | 327896 | 1% | 78% | 7 |
4 | RESERVOIR SAMPLING | authKW | 325216 | 2% | 60% | 9 |
5 | MIN WISE INDEPENDENCE | authKW | 301132 | 1% | 100% | 5 |
6 | FREQUENT ITEMS | authKW | 301122 | 2% | 50% | 10 |
7 | DISTRIBUTED STREAMS | authKW | 240906 | 1% | 100% | 4 |
8 | PACKET SAMPLING | authKW | 202859 | 2% | 42% | 8 |
9 | FREQUENT ELEMENTS | authKW | 180679 | 1% | 100% | 3 |
10 | FREQUENCY MOMENTS | authKW | 150561 | 1% | 50% | 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, Information Systems | 13702 | 43% | 0% | 216 |
2 | Computer Science, Theory & Methods | 9376 | 37% | 0% | 190 |
3 | Computer Science, Hardware & Architecture | 5307 | 18% | 0% | 93 |
4 | Computer Science, Software Engineering | 3748 | 20% | 0% | 102 |
5 | Telecommunications | 2439 | 19% | 0% | 95 |
6 | Computer Science, Artificial Intelligence | 1030 | 12% | 0% | 62 |
7 | Engineering, Electrical & Electronic | 662 | 23% | 0% | 116 |
8 | Mathematics, Applied | 369 | 12% | 0% | 60 |
9 | Statistics & Probability | 125 | 4% | 0% | 22 |
10 | Mathematics | 17 | 4% | 0% | 21 |
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 | HYPERROLL INC | 120453 | 0% | 100% | 2 |
2 | DISCRETE MATH COMP SCI | 108405 | 1% | 60% | 3 |
3 | BACKBONE TECHNOL | 60226 | 0% | 100% | 1 |
4 | BI TELECOM PARISTECH EDF RD | 60226 | 0% | 100% | 1 |
5 | CNSRL | 60226 | 0% | 100% | 1 |
6 | COMP NETWORK PROD | 60226 | 0% | 100% | 1 |
7 | COMPLEX EVENT RECOGNIT GRP | 60226 | 0% | 100% | 1 |
8 | DATA ENGN KNOWLEDGE DISCOVERY UNIT | 60226 | 0% | 100% | 1 |
9 | DISCRETE MATH COMP SCI DIMAC | 60226 | 0% | 100% | 1 |
10 | EFFICIENT COMPUTAT GRP | 60226 | 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 | ACM TRANSACTIONS ON DATABASE SYSTEMS | 33837 | 4% | 3% | 21 |
2 | ACM SIGCOMM COMPUTER COMMUNICATION REVIEW | 24067 | 4% | 2% | 22 |
3 | VLDB JOURNAL | 10240 | 2% | 2% | 10 |
4 | IEEE-ACM TRANSACTIONS ON NETWORKING | 9166 | 4% | 1% | 20 |
5 | SIGMOD RECORD | 6855 | 2% | 1% | 8 |
6 | ACM TRANSACTIONS ON ALGORITHMS | 6786 | 1% | 2% | 7 |
7 | COMPUTER NETWORKS | 5208 | 4% | 0% | 18 |
8 | JOURNAL OF COMPUTER AND SYSTEM SCIENCES | 4647 | 3% | 1% | 13 |
9 | ALGORITHMICA | 3775 | 2% | 1% | 12 |
10 | DATA MINING AND KNOWLEDGE DISCOVERY | 3713 | 1% | 1% | 6 |
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 | HEAVY HITTERS | 578169 | 2% | 80% | 12 | Search HEAVY+HITTERS | Search HEAVY+HITTERS |
2 | DATA STREAMS | 433735 | 11% | 12% | 58 | Search DATA+STREAMS | Search DATA+STREAMS |
3 | IP FLOWS | 327896 | 1% | 78% | 7 | Search IP+FLOWS | Search IP+FLOWS |
4 | RESERVOIR SAMPLING | 325216 | 2% | 60% | 9 | Search RESERVOIR+SAMPLING | Search RESERVOIR+SAMPLING |
5 | MIN WISE INDEPENDENCE | 301132 | 1% | 100% | 5 | Search MIN+WISE+INDEPENDENCE | Search MIN+WISE+INDEPENDENCE |
6 | FREQUENT ITEMS | 301122 | 2% | 50% | 10 | Search FREQUENT+ITEMS | Search FREQUENT+ITEMS |
7 | DISTRIBUTED STREAMS | 240906 | 1% | 100% | 4 | Search DISTRIBUTED+STREAMS | Search DISTRIBUTED+STREAMS |
8 | PACKET SAMPLING | 202859 | 2% | 42% | 8 | Search PACKET+SAMPLING | Search PACKET+SAMPLING |
9 | FREQUENT ELEMENTS | 180679 | 1% | 100% | 3 | Search FREQUENT+ELEMENTS | Search FREQUENT+ELEMENTS |
10 | FREQUENCY MOMENTS | 150561 | 1% | 50% | 5 | Search FREQUENCY+MOMENTS | Search FREQUENCY+MOMENTS |
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 | CAFARO, M , PULIMENO, M , EPICOCO, I , ALOISIO, G , (2016) MINING FREQUENT ITEMS IN THE TIME FADING MODEL.INFORMATION SCIENCES. VOL. 370. ISSUE . P. 221 -238 | 12 | 92% | 0 |
2 | ZHANG, Y , SUN, Y , ZHANG, JZ , XU, JD , WU, Y , (2014) AN EFFICIENT FRAMEWORK FOR PARALLEL AND CONTINUOUS FREQUENT ITEM MONITORING.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. VOL. 26. ISSUE 18. P. 2856 -2879 | 12 | 92% | 4 |
3 | BRAVERMAN, V , GELLES, R , OSTROVSKY, R , (2014) HOW TO CATCH L-2-HEAVY-HITTERS ON SLIDING WINDOWS.THEORETICAL COMPUTER SCIENCE. VOL. 554. ISSUE . P. 82 -94 | 12 | 92% | 0 |
4 | LAHIRI, B , TIRTHAPURA, S , CHANDRASHEKAR, J , (2014) SPACE-EFFICIENT TRACKING OF PERSISTENT ITEMS IN A MASSIVE DATA STREAM.STATISTICAL ANALYSIS AND DATA MINING. VOL. 7. ISSUE 1. P. 70 -92 | 11 | 100% | 0 |
5 | MCGREGOR, A , PAVAN, A , TIRTHAPURA, S , WOODRUFF, DP , (2016) SPACE-EFFICIENT ESTIMATION OF STATISTICS OVER SUB-SAMPLED STREAMS.ALGORITHMICA. VOL. 74. ISSUE 2. P. 787 -811 | 11 | 92% | 0 |
6 | TIRTHAPURA, S , WOODRUFF, DP , (2015) A GENERAL METHOD FOR ESTIMATING CORRELATED AGGREGATES OVER A DATA STREAM.ALGORITHMICA. VOL. 73. ISSUE 2. P. 235 -260 | 11 | 92% | 1 |
7 | PAPAPETROU, O , GAROFALAKIS, M , DELIGIANNAKIS, A , (2015) SKETCHING DISTRIBUTED SLIDING-WINDOW DATA STREAMS.VLDB JOURNAL. VOL. 24. ISSUE 3. P. 345 -368 | 11 | 92% | 0 |
8 | CORMODE, G , TIRTHAPURA, S , XU, BJ , (2009) TIME-DECAYING SKETCHES FOR ROBUST AGGREGATION OF SENSOR DATA.SIAM JOURNAL ON COMPUTING. VOL. 39. ISSUE 4. P. 1309 -1339 | 12 | 92% | 1 |
9 | SHAN, JS , FU, YJ , NI, GQ , LUO, JX , WU, ZF , (2017) FAST COUNTING THE CARDINALITY OF FLOWS FOR BIG TRAFFIC OVER SLIDING WINDOWS.FRONTIERS OF COMPUTER SCIENCE. VOL. 11. ISSUE 1. P. 119 -129 | 10 | 83% | 0 |
10 | LIU, WJ , QU, WY , GONG, J , LI, KQ , (2016) DETECTION OF SUPERPOINTS USING A VECTOR BLOOM FILTER.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY. VOL. 11. ISSUE 3. P. 514 -527 | 14 | 56% | 1 |
Classes with closest relation at Level 1 |