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

Basic class information

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
12	4	COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, INFORMATION SYSTEMS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	1181119
148	3	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//IEEE TRANSACTIONS ON NEURAL NETWORKS//ROUGH SETS	65230
464	2	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//FEATURE SELECTION//SUPPORT VECTOR MACHINE	16171
3424	1	BOOSTING//BAGGING//MULTIPLE CLASSIFIER SYSTEMS	2022

Terms with highest relevance score

rank	Category	termType	chi_square	shrOfCwithTerm	shrOfTermInClass	termInClass
1	BOOSTING	authKW	777901	9%	26%	190
2	BAGGING	authKW	614430	6%	31%	127
3	MULTIPLE CLASSIFIER SYSTEMS	authKW	522270	4%	46%	73
4	ENSEMBLE LEARNING	authKW	322415	5%	19%	109
5	NEGATIVE CORRELATION LEARNING	authKW	314208	1%	81%	25
6	ENSEMBLE PRUNING	authKW	313286	1%	72%	28
7	CLASSIFIER ENSEMBLE	authKW	308327	3%	34%	58
8	CLASSIFIER COMBINATION	authKW	290570	3%	36%	52
9	CLASSIFIER FUSION	authKW	273176	2%	37%	47
10	NEURAL NETWORK ENSEMBLE	authKW	251834	2%	40%	40

Web of Science journal categories

chi_square_rank	Category	chi_square	shrOfCwithTerm	shrOfTermInClass	termInClass
1	Computer Science, Artificial Intelligence	119043	63%	1%	1281
2	Computer Science, Theory & Methods	13139	22%	0%	454
3	Computer Science, Information Systems	3732	12%	0%	237
4	Statistics & Probability	1913	8%	0%	161
5	Engineering, Electrical & Electronic	1904	20%	0%	404
6	Computer Science, Interdisciplinary Applications	799	6%	0%	121
7	Computer Science, Cybernetics	656	2%	0%	36
8	Automation & Control Systems	590	4%	0%	80
9	Imaging Science & Photographic Technology	375	2%	0%	43
10	Computer Science, Software Engineering	315	3%	0%	68

Address terms

chi_square_rank	term	chi_square	shrOfCwithTerm	shrOfTermInClass	termInClass
1	SYST COMP NETWORKS	50581	1%	19%	17
2	LIVIA	35612	0%	29%	8
3	CAELUM	31170	0%	100%	2
4	DPT INGN SOFTWARE INTELIGENCIA ARTIFICIAL	31170	0%	100%	2
5	EVOLVABLE SYST	31170	0%	100%	2
6	GRP RECH MACHINES INTELLIGENTES	31170	0%	100%	2
7	INTELIGENCIA COMPUTAC LICADA	31170	0%	100%	2
8	TELECOMMUN NAVIGAT	31170	0%	100%	2
9	CHAIR SYST COMP NETWORKS	30543	0%	20%	10
10	BRAIN INTELLIGENT SYST	30537	0%	28%	7

Journals

chi_square_rank	term	chi_square	shrOfCwithTerm	shrOfTermInClass	termInClass
1	MACHINE LEARNING	38621	3%	4%	56
2	INFORMATION FUSION	25586	1%	5%	30
3	LECTURE NOTES IN ARTIFICIAL INTELLIGENCE	21374	7%	1%	151
4	LECTURE NOTES IN COMPUTER SCIENCE	20048	17%	0%	340
5	PATTERN ANALYSIS AND APPLICATIONS	18472	1%	4%	30
6	PATTERN RECOGNITION LETTERS	16305	4%	1%	79
7	JOURNAL OF MACHINE LEARNING RESEARCH	13733	2%	2%	38
8	PATTERN RECOGNITION	13361	4%	1%	78
9	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE	11960	2%	2%	36
10	NEUROCOMPUTING	8463	4%	1%	75

Author Key Words

chi_square_rank	term	chi_square	shrOfCwithTerm	shrOfTermInClass	termInClass	LCSH search	Wikipedia search
1	BOOSTING	777901	9%	26%	190	Search BOOSTING	Search BOOSTING
2	BAGGING	614430	6%	31%	127	Search BAGGING	Search BAGGING
3	MULTIPLE CLASSIFIER SYSTEMS	522270	4%	46%	73	Search MULTIPLE+CLASSIFIER+SYSTEMS	Search MULTIPLE+CLASSIFIER+SYSTEMS
4	ENSEMBLE LEARNING	322415	5%	19%	109	Search ENSEMBLE+LEARNING	Search ENSEMBLE+LEARNING
5	NEGATIVE CORRELATION LEARNING	314208	1%	81%	25	Search NEGATIVE+CORRELATION+LEARNING	Search NEGATIVE+CORRELATION+LEARNING
6	ENSEMBLE PRUNING	313286	1%	72%	28	Search ENSEMBLE+PRUNING	Search ENSEMBLE+PRUNING
7	CLASSIFIER ENSEMBLE	308327	3%	34%	58	Search CLASSIFIER+ENSEMBLE	Search CLASSIFIER+ENSEMBLE
8	CLASSIFIER COMBINATION	290570	3%	36%	52	Search CLASSIFIER+COMBINATION	Search CLASSIFIER+COMBINATION
9	CLASSIFIER FUSION	273176	2%	37%	47	Search CLASSIFIER+FUSION	Search CLASSIFIER+FUSION
10	NEURAL NETWORK ENSEMBLE	251834	2%	40%	40	Search NEURAL+NETWORK+ENSEMBLE	Search NEURAL+NETWORK+ENSEMBLE

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.

Classes with closest relation at Level 1

rank	cluster_id2	link
1	23007	MULTI CLASS CLASSIFICATION//ERROR CORRECTING OUTPUT CODES//ERROR CORRECTING OUTPUT CODES ECOC
2	13142	IMBALANCED DATASETS//IMBALANCED DATA//CLASS IMBALANCE
3	14666	SURVIVAL TREE//DECISION TREE//RECURSIVE PARTITIONING
4	12248	INSTANCE SELECTION//PROTOTYPE SELECTION//PROTOTYPE GENERATION
5	18741	CONCEPT DRIFT//DATA STREAMS//DATA STREAM CLASSIFICATION
6	20007	ACTIVE LEARNING//SEMI SUPERVISED LEARNING//CO TRAINING
7	17032	MULTI LABEL CLASSIFICATION//MULTI LABEL LEARNING//MULTIPLE INSTANCE LEARNING
8	9379	REPRODUCING KERNEL HILBERT SPACE//LEARNING THEORY//GENERALIZATION BOUNDS
9	8719	PEDESTRIAN DETECTION//OBJECT DETECTION//HUMAN DETECTION
10	32799	REJECT OPTION//BAYES CLASSIFIERS//CONVEX SURROGATE LOSS

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