Class information for:
Level 1: MULTI LABEL CLASSIFICATION//MULTI LABEL LEARNING//MULTIPLE INSTANCE LEARNING

Basic class information
Class id #P Avg. number of
references		 Database coverage
of references
16823 634 35.5 41%


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
16823 1                   MULTI LABEL CLASSIFICATION//MULTI LABEL LEARNING//MULTIPLE INSTANCE LEARNING 634

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 MULTI LABEL CLASSIFICATION authKW 3627672 19% 63% 119
2 MULTI LABEL LEARNING authKW 2121149 10% 69% 64
3 MULTIPLE INSTANCE LEARNING authKW 1468873 10% 50% 61
4 MULTI INSTANCE LEARNING authKW 941936 5% 67% 29
5 MULTI INSTANCE MULTI LABEL LEARNING authKW 541812 2% 75% 15
6 HIERARCHICAL MULTI LABEL CLASSIFICATION authKW 437832 2% 91% 10
7 LABEL CORRELATIONS authKW 401345 2% 83% 10
8 MULTI LABEL authKW 370450 3% 38% 20
9 MULTI LABEL FEATURE SELECTION authKW 288971 1% 100% 6
10 LABEL DEPENDENCY authKW 280210 1% 73% 8

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 36752 62% 0% 396
2 Computer Science, Information Systems 5660 25% 0% 157
3 Engineering, Electrical & Electronic 1157 26% 0% 168
4 Computer Science, Theory & Methods 814 10% 0% 66
5 Computer Science, Software Engineering 554 7% 0% 46
6 Automation & Control Systems 303 5% 0% 31
7 Computer Science, Interdisciplinary Applications 254 6% 0% 38
8 Operations Research & Management Science 227 5% 0% 30
9 Computer Science, Hardware & Architecture 225 4% 0% 23
10 Mathematical & Computational Biology 189 3% 0% 22

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 KNOWLEDGE TECHNOL 107585 3% 12% 18
2 COMP GR H IMAGING VIS CGIV GRP 96324 0% 100% 2
3 ZAMBIA AIDS RELATED TB PROJECT ZAM BART 96324 0% 100% 2
4 COMP SCI NUMER ANAL 95304 3% 12% 17
5 NOVEL SOFTWARE TECHNOL 79808 3% 8% 21
6 ARTIFICIAL INTELLIGENCE TECH 48162 0% 100% 1
7 BIOMATHS SANTE 48162 0% 100% 1
8 CA UC SANTA BARBARA 48162 0% 100% 1
9 CGIV GRP 48162 0% 100% 1
10 CIENCIAS COMPUTACI INTELIGENCIA ARTIFICIAL 48162 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 MACHINE LEARNING 32714 5% 2% 29
2 JOURNAL OF MACHINE LEARNING RESEARCH 16224 4% 1% 23
3 ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 13869 1% 4% 8
4 PATTERN RECOGNITION 9083 6% 1% 36
5 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 6380 3% 1% 20
6 NEUROCOMPUTING 6121 6% 0% 35
7 KNOWLEDGE AND INFORMATION SYSTEMS 4554 2% 1% 10
8 DATA MINING AND KNOWLEDGE DISCOVERY 4041 1% 1% 7
9 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 3652 1% 1% 9
10 EXPERT SYSTEMS WITH APPLICATIONS 3047 4% 0% 26

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 MULTI LABEL CLASSIFICATION 3627672 19% 63% 119 Search MULTI+LABEL+CLASSIFICATION Search MULTI+LABEL+CLASSIFICATION
2 MULTI LABEL LEARNING 2121149 10% 69% 64 Search MULTI+LABEL+LEARNING Search MULTI+LABEL+LEARNING
3 MULTIPLE INSTANCE LEARNING 1468873 10% 50% 61 Search MULTIPLE+INSTANCE+LEARNING Search MULTIPLE+INSTANCE+LEARNING
4 MULTI INSTANCE LEARNING 941936 5% 67% 29 Search MULTI+INSTANCE+LEARNING Search MULTI+INSTANCE+LEARNING
5 MULTI INSTANCE MULTI LABEL LEARNING 541812 2% 75% 15 Search MULTI+INSTANCE+MULTI+LABEL+LEARNING Search MULTI+INSTANCE+MULTI+LABEL+LEARNING
6 HIERARCHICAL MULTI LABEL CLASSIFICATION 437832 2% 91% 10 Search HIERARCHICAL+MULTI+LABEL+CLASSIFICATION Search HIERARCHICAL+MULTI+LABEL+CLASSIFICATION
7 LABEL CORRELATIONS 401345 2% 83% 10 Search LABEL+CORRELATIONS Search LABEL+CORRELATIONS
8 MULTI LABEL 370450 3% 38% 20 Search MULTI+LABEL Search MULTI+LABEL
9 MULTI LABEL FEATURE SELECTION 288971 1% 100% 6 Search MULTI+LABEL+FEATURE+SELECTION Search MULTI+LABEL+FEATURE+SELECTION
10 LABEL DEPENDENCY 280210 1% 73% 8 Search LABEL+DEPENDENCY Search LABEL+DEPENDENCY

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 ZHANG, ML , ZHOU, ZH , (2014) A REVIEW ON MULTI-LABEL LEARNING ALGORITHMS.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. VOL. 26. ISSUE 8. P. 1819 -1837 23 79% 135
2 GIBAJA, E , VENTURA, S , (2014) MULTI-LABEL LEARNING: A REVIEW OF THE STATE OF THE ART AND ONGOING RESEARCH.WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY. VOL. 4. ISSUE 6. P. 411 -444 52 60% 10
3 GIBAJA, E , VENTURA, S , (2015) A TUTORIAL ON MULTILABEL LEARNING.ACM COMPUTING SURVEYS. VOL. 47. ISSUE 3. P. - 41 62% 11
4 ZHANG, ML , WU, L , (2015) LIFT: MULTI-LABEL LEARNING WITH LABEL-SPECIFIC FEATURES.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. VOL. 37. ISSUE 1. P. 107 -120 21 81% 16
5 ZHOU, ZH , ZHANG, ML , HUANG, SJ , LI, YF , (2012) MULTI-INSTANCE MULTI-LABEL LEARNING.ARTIFICIAL INTELLIGENCE. VOL. 176. ISSUE 1. P. 2291 -2320 20 87% 69
6 LIU, HW , WU, XD , ZHANG, SC , (2016) NEIGHBOR SELECTION FOR MULTILABEL CLASSIFICATION.NEUROCOMPUTING. VOL. 182. ISSUE . P. 187 -196 26 79% 0
7 LEE, J , KIM, DW , (2016) EFFICIENT MULTI-LABEL FEATURE SELECTION USING ENTROPY-BASED LABEL SELECTION.ENTROPY. VOL. 18. ISSUE 11. P. - 26 72% 0
8 SUN, KW , LEE, CH , WANG, J , (2016) MULTILABEL CLASSIFICATION VIA CO-EVOLUTIONARY MULTILABEL HYPERNETWORK.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. VOL. 28. ISSUE 9. P. 2438 -2451 17 94% 0
9 ALALI, A , KUBAT, M , (2015) PRUDENT: A PRUNED AND CONFIDENT STACKING APPROACH FOR MULTI-LABEL CLASSIFICATION.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. VOL. 27. ISSUE 9. P. 2480 -2493 18 82% 1
10 HUANG, J , LI, GR , HUANG, QM , WU, XD , (2016) LEARNING LABEL-SPECIFIC FEATURES AND CLASS-DEPENDENT LABELS FOR MULTI-LABEL CLASSIFICATION.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. VOL. 28. ISSUE 12. P. 3309 -3323 20 69% 0

Classes with closest relation at Level 1


Rank Class id link
1 37082 COLLECTIVE INFERENCE//COLLECTIVE CLASSIFICATION//CODE 5514
2 16422 TRANSFER LEARNING//DOMAIN ADAPTATION//MULTI TASK LEARNING
3 11493 TEXT CATEGORIZATION//TEXT CLASSIFICATION//SPAM FILTERING
4 30788 META LEARNING//LIACC FEP//ALGORITHM RECOMMENDATION
5 25585 SEMI SUPERVISED LEARNING//CO TRAINING//TRI TRAINING
6 15239 IMBALANCED DATASETS//IMBALANCED DATA//CLASS IMBALANCE
7 3353 BOOSTING//BAGGING//MULTIPLE CLASSIFIER SYSTEMS
8 1186 CONTENT BASED IMAGE RETRIEVAL//IMAGE RETRIEVAL//RELEVANCE FEEDBACK
9 23956 FIRST ORDER METHODS//ITERATION COMPLEXITY//OPTIMAL METHODS
10 2578 SUPPORT VECTOR MACHINE//TWIN SUPPORT VECTOR MACHINE//MULTI CLASS CLASSIFICATION

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