Class information for:
Level 1: BOOSTING//BAGGING//MULTIPLE CLASSIFIER SYSTEMS

Basic class information
Class id #P Avg. number of
references		 Database coverage
of references
3353 2002 28.7 44%


Bar chart of Publication_year

Last years might be incomplete

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
235 2             COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//FEATURE SELECTION//MACHINE LEARNING 20237
3353 1                   BOOSTING//BAGGING//MULTIPLE CLASSIFIER SYSTEMS 2002

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 BOOSTING authKW 846445 10% 28% 197
2 BAGGING authKW 681058 7% 34% 133
3 MULTIPLE CLASSIFIER SYSTEMS authKW 527655 4% 47% 73
4 ENSEMBLE PRUNING authKW 341604 1% 80% 28
5 ENSEMBLE LEARNING authKW 338212 5% 21% 107
6 NEGATIVE CORRELATION LEARNING authKW 317714 1% 83% 25
7 CLASSIFIER ENSEMBLE authKW 297563 3% 35% 55
8 CLASSIFIER COMBINATION authKW 288310 3% 36% 52
9 ADABOOST authKW 245192 4% 20% 82
10 CLASSIFIER FUSION authKW 239986 2% 36% 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 122621 64% 1% 1285
2 Computer Science, Theory & Methods 13267 23% 0% 455
3 Computer Science, Information Systems 3745 12% 0% 234
4 Engineering, Electrical & Electronic 2079 21% 0% 415
5 Statistics & Probability 1592 7% 0% 147
6 Computer Science, Interdisciplinary Applications 817 6% 0% 121
7 Automation & Control Systems 630 4% 0% 81
8 Computer Science, Cybernetics 492 2% 0% 31
9 Computer Science, Software Engineering 319 3% 0% 68
10 Operations Research & Management Science 302 3% 0% 65

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 SYST COMP NETWORKS 55066 1% 21% 17
2 BRAIN INTELLIGENT SYST 39031 0% 32% 8
3 CAELUM 30501 0% 100% 2
4 DPT INGN SOFTWARE INTELIGENCIA ARTIFICIAL 30501 0% 100% 2
5 EVOLVABLE SYST 30501 0% 100% 2
6 GRP RECH MACHINES INTELLIGENTES 30501 0% 100% 2
7 INTELIGENCIA COMPUTAC LICADA 30501 0% 100% 2
8 TELECOMMUN NAVIGAT 30501 0% 100% 2
9 EDUC SOFTWARE DEV 30489 0% 25% 8
10 CHAIR SYST COMP NETWORKS 29887 0% 20% 10

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 MACHINE LEARNING 41397 3% 5% 58
2 INFORMATION FUSION 22184 1% 5% 27
3 LECTURE NOTES IN COMPUTER SCIENCE 20328 17% 0% 346
4 PATTERN ANALYSIS AND APPLICATIONS 19086 1% 4% 30
5 LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 18758 7% 1% 143
6 JOURNAL OF MACHINE LEARNING RESEARCH 17097 2% 3% 42
7 PATTERN RECOGNITION LETTERS 16820 4% 1% 80
8 PATTERN RECOGNITION 14879 4% 1% 82
9 INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 13251 2% 2% 37
10 NEUROCOMPUTING 8853 4% 1% 75

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 BOOSTING 846445 10% 28% 197 Search BOOSTING Search BOOSTING
2 BAGGING 681058 7% 34% 133 Search BAGGING Search BAGGING
3 MULTIPLE CLASSIFIER SYSTEMS 527655 4% 47% 73 Search MULTIPLE+CLASSIFIER+SYSTEMS Search MULTIPLE+CLASSIFIER+SYSTEMS
4 ENSEMBLE PRUNING 341604 1% 80% 28 Search ENSEMBLE+PRUNING Search ENSEMBLE+PRUNING
5 ENSEMBLE LEARNING 338212 5% 21% 107 Search ENSEMBLE+LEARNING Search ENSEMBLE+LEARNING
6 NEGATIVE CORRELATION LEARNING 317714 1% 83% 25 Search NEGATIVE+CORRELATION+LEARNING Search NEGATIVE+CORRELATION+LEARNING
7 CLASSIFIER ENSEMBLE 297563 3% 35% 55 Search CLASSIFIER+ENSEMBLE Search CLASSIFIER+ENSEMBLE
8 CLASSIFIER COMBINATION 288310 3% 36% 52 Search CLASSIFIER+COMBINATION Search CLASSIFIER+COMBINATION
9 ADABOOST 245192 4% 20% 82 Search ADABOOST Search ADABOOST
10 CLASSIFIER FUSION 239986 2% 36% 44 Search CLASSIFIER+FUSION Search CLASSIFIER+FUSION

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 KOTSIANTIS, SB , (2014) BAGGING AND BOOSTING VARIANTS FOR HANDLING CLASSIFICATIONS PROBLEMS: A SURVEY.KNOWLEDGE ENGINEERING REVIEW. VOL. 29. ISSUE 1. P. 78 -100 64 77% 2
2 ROKACH, L , (2009) TAXONOMY FOR CHARACTERIZING ENSEMBLE METHODS IN CLASSIFICATION TASKS: A REVIEW AND ANNOTATED BIBLIOGRAPHY.COMPUTATIONAL STATISTICS & DATA ANALYSIS. VOL. 53. ISSUE 12. P. 4046 -4072 68 65% 63
3 MENDES-MOREIRA, J , SOARES, C , JORGE, AM , DE SOUSA, JF , (2012) ENSEMBLE APPROACHES FOR REGRESSION: A SURVEY.ACM COMPUTING SURVEYS. VOL. 45. ISSUE 1. P. - 57 72% 35
4 WOZNIAK, M , GRANA, M , CORCHADO, E , (2014) A SURVEY OF MULTIPLE CLASSIFIER SYSTEMS AS HYBRID SYSTEMS.INFORMATION FUSION. VOL. 16. ISSUE . P. 3 -17 58 42% 112
5 ROKACH, L , (2010) ENSEMBLE-BASED CLASSIFIERS.ARTIFICIAL INTELLIGENCE REVIEW. VOL. 33. ISSUE 1-2. P. 1 -39 39 66% 337
6 JUREK, A , BI, YX , WU, SL , NUGENT, C , (2014) A SURVEY OF COMMONLY USED ENSEMBLE-BASED CLASSIFICATION TECHNIQUES.KNOWLEDGE ENGINEERING REVIEW. VOL. 29. ISSUE 5. P. 551 -581 46 87% 3
7 ZHANG, HX , CAO, LL , (2014) A SPECTRAL CLUSTERING BASED ENSEMBLE PRUNING APPROACH.NEUROCOMPUTING. VOL. 139. ISSUE . P. 289-297 39 98% 4
8 ROKACH, L , (2016) DECISION FOREST: TWENTY YEARS OF RESEARCH.INFORMATION FUSION. VOL. 27. ISSUE . P. 111 -125 38 64% 8
9 REN, Y , ZHANG, L , SUGANTHAN, PN , (2016) ENSEMBLE CLASSIFICATION AND REGRESSION-RECENT DEVELOPMENTS, APPLICATIONS AND FUTURE DIRECTIONS.IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE. VOL. 11. ISSUE 1. P. 41 -53 44 49% 4
10 ZHANG, CX , ZHANG, JS , ZHANG, GY , (2009) USING BOOSTING TO PRUNE DOUBLE-BAGGING ENSEMBLES.COMPUTATIONAL STATISTICS & DATA ANALYSIS. VOL. 53. ISSUE 4. P. 1218 -1231 35 92% 8

Classes with closest relation at Level 1


Rank Class id link
1 15239 IMBALANCED DATASETS//IMBALANCED DATA//CLASS IMBALANCE
2 21566 SURVIVAL TREE//RECURSIVE PARTITIONING//REGRESSION TREE
3 30788 META LEARNING//LIACC FEP//ALGORITHM RECOMMENDATION
4 19536 CONCEPT DRIFT//DATA STREAMS//DATA STREAM CLASSIFICATION
5 13020 INSTANCE SELECTION//PROTOTYPE SELECTION//INSTANCE BASED LEARNING
6 16823 MULTI LABEL CLASSIFICATION//MULTI LABEL LEARNING//MULTIPLE INSTANCE LEARNING
7 12665 DECISION TREE//NUMERICAL ATTRIBUTES//SUPERVISED DISCRETIZATION
8 25585 SEMI SUPERVISED LEARNING//CO TRAINING//TRI TRAINING
9 4232 PAC LEARNING//LEARNING THEORY//COMPUTATIONAL LEARNING THEORY
10 2578 SUPPORT VECTOR MACHINE//TWIN SUPPORT VECTOR MACHINE//MULTI CLASS CLASSIFICATION

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