Class information for:
Level 1: BAYESIAN NETWORKS//INFLUENCE DIAGRAMS//STRUCTURE LEARNING

Basic class information
Class id #P Avg. number of
references		 Database coverage
of references
4093 1848 29.3 35%


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
265 3       ENGINEERING, MANUFACTURING//DISCRETE EVENT SYSTEMS//OPERATIONS RESEARCH & MANAGEMENT SCIENCE 44182
2550 2             BAYESIAN NETWORKS//FUZZY COGNITIVE MAPS//INFLUENCE DIAGRAMS 3737
4093 1                   BAYESIAN NETWORKS//INFLUENCE DIAGRAMS//STRUCTURE LEARNING 1848

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 BAYESIAN NETWORKS authKW 2113033 29% 24% 544
2 INFLUENCE DIAGRAMS authKW 524968 4% 42% 75
3 STRUCTURE LEARNING authKW 394292 4% 37% 65
4 INTERNATIONAL JOURNAL OF APPROXIMATE REASONING journal 292240 9% 11% 161
5 BELIEF NETWORKS authKW 265587 2% 37% 43
6 HYBRID BAYESIAN NETWORKS authKW 234972 1% 89% 16
7 PROBABILISTIC REASONING authKW 229042 3% 24% 59
8 MIXTURES OF TRUNCATED EXPONENTIALS authKW 218666 1% 88% 15
9 BAYESIAN NETWORK CLASSIFIERS authKW 191167 1% 64% 18
10 NAIVE BAYES authKW 133156 3% 16% 50

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 98440 60% 1% 1107
2 Computer Science, Information Systems 4205 13% 0% 237
3 Medical Informatics 3327 5% 0% 99
4 Computer Science, Theory & Methods 3315 12% 0% 225
5 Operations Research & Management Science 2941 9% 0% 174
6 Computer Science, Cybernetics 1518 3% 0% 51
7 Computer Science, Interdisciplinary Applications 1329 8% 0% 144
8 Statistics & Probability 928 6% 0% 110
9 Automation & Control Systems 621 4% 0% 77
10 Computer Science, Hardware & Architecture 476 3% 0% 58

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 DECIS ANAL GRP 115652 0% 100% 7
2 DECIS SYST 86296 1% 33% 16
3 COMPLEX SYST COMPUTAT GRP 54066 0% 55% 6
4 INTELLIGENT SYST PROGRAM 48458 1% 15% 19
5 RISK INFORMAT MANAGEMENT RIM GRP 37172 0% 75% 3
6 DPTO ESTADIST IO CALC NUMER 33043 0% 100% 2
7 ENGN INFORMAT COMMUN ENGN BUNKYO KU 33043 0% 100% 2
8 LINA COMP SCI UMR 6241 33043 0% 100% 2
9 OPERAT DECIS ANAL GRP 33043 0% 100% 2
10 UTEB 33043 0% 100% 2

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 INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 292240 9% 11% 161
2 ARTIFICIAL INTELLIGENCE 42834 4% 3% 77
3 JOURNAL OF MACHINE LEARNING RESEARCH 25236 3% 3% 49
4 LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 22701 8% 1% 151
5 MACHINE LEARNING 19228 2% 3% 38
6 JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 19012 2% 4% 32
7 INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 16189 2% 3% 39
8 STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS 8344 1% 3% 16
9 ARTIFICIAL INTELLIGENCE IN MEDICINE 7730 1% 3% 16
10 KNOWLEDGE-BASED SYSTEMS 7684 2% 1% 36

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 BAYESIAN NETWORKS 2113033 29% 24% 544 Search BAYESIAN+NETWORKS Search BAYESIAN+NETWORKS
2 INFLUENCE DIAGRAMS 524968 4% 42% 75 Search INFLUENCE+DIAGRAMS Search INFLUENCE+DIAGRAMS
3 STRUCTURE LEARNING 394292 4% 37% 65 Search STRUCTURE+LEARNING Search STRUCTURE+LEARNING
4 BELIEF NETWORKS 265587 2% 37% 43 Search BELIEF+NETWORKS Search BELIEF+NETWORKS
5 HYBRID BAYESIAN NETWORKS 234972 1% 89% 16 Search HYBRID+BAYESIAN+NETWORKS Search HYBRID+BAYESIAN+NETWORKS
6 PROBABILISTIC REASONING 229042 3% 24% 59 Search PROBABILISTIC+REASONING Search PROBABILISTIC+REASONING
7 MIXTURES OF TRUNCATED EXPONENTIALS 218666 1% 88% 15 Search MIXTURES+OF+TRUNCATED+EXPONENTIALS Search MIXTURES+OF+TRUNCATED+EXPONENTIALS
8 BAYESIAN NETWORK CLASSIFIERS 191167 1% 64% 18 Search BAYESIAN+NETWORK+CLASSIFIERS Search BAYESIAN+NETWORK+CLASSIFIERS
9 NAIVE BAYES 133156 3% 16% 50 Search NAIVE+BAYES Search NAIVE+BAYES
10 CHAIN EVENT GRAPHS 132174 0% 100% 8 Search CHAIN+EVENT+GRAPHS Search CHAIN+EVENT+GRAPHS

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 DALY, R , SHEN, Q , AITKEN, S , (2011) LEARNING BAYESIAN NETWORKS: APPROACHES AND ISSUES.KNOWLEDGE ENGINEERING REVIEW. VOL. 26. ISSUE 2. P. 99 -157 127 73% 75
2 BIELZA, C , LARRANAGA, P , (2014) DISCRETE BAYESIAN NETWORK CLASSIFIERS: A SURVEY.ACM COMPUTING SURVEYS. VOL. 47. ISSUE 1. P. - 63 72% 15
3 LARRANAGA, P , KARSHENAS, H , BIELZA, C , SANTANA, R , (2013) A REVIEW ON EVOLUTIONARY ALGORITHMS IN BAYESIAN NETWORK LEARNING AND INFERENCE TASKS.INFORMATION SCIENCES. VOL. 233. ISSUE . P. 109 -125 41 71% 27
4 BIELZA, C , GOMEZ, M , SHENOY, PP , (2011) A REVIEW OF REPRESENTATION ISSUES AND MODELING CHALLENGES WITH INFLUENCE DIAGRAMS.OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE. VOL. 39. ISSUE 3. P. 227-241 32 89% 8
5 FERNANDEZ, A , RUMI, R , SALMERON, A , (2012) ANSWERING QUERIES IN HYBRID BAYESIAN NETWORKS USING IMPORTANCE SAMPLING.DECISION SUPPORT SYSTEMS. VOL. 53. ISSUE 3. P. 580-590 30 86% 1
6 AMIRKHANI, H , RAHMATI, M , (2015) EXPECTATION MAXIMIZATION BASED ORDERING AGGREGATION FOR IMPROVING THE K2 STRUCTURE LEARNING ALGORITHM.INTELLIGENT DATA ANALYSIS. VOL. 19. ISSUE 5. P. 1003 -1018 22 96% 0
7 ZHOU, Y , FENTON, N , ZHU, C , (2016) AN EMPIRICAL STUDY OF BAYESIAN NETWORK PARAMETER LEARNING WITH MONOTONIC INFLUENCE CONSTRAINTS.DECISION SUPPORT SYSTEMS. VOL. 87. ISSUE . P. 69 -79 24 83% 0
8 GHEISARI, S , MEYBODI, MR , (2016) BNC-PSO: STRUCTURE LEARNING OF BAYESIAN NETWORKS BY PARTICLE SWARM OPTIMIZATION.INFORMATION SCIENCES. VOL. 348. ISSUE . P. 272 -289 24 65% 2
9 DE CAMPOS, LM , (2006) A SCORING FUNCTION FOR LEARNING BAYESIAN NETWORKS BASED ON MUTUAL INFORMATION AND CONDITIONAL INDEPENDENCE TESTS.JOURNAL OF MACHINE LEARNING RESEARCH. VOL. 7. ISSUE . P. 2149-2187 24 83% 68
10 WOUDENBERG, SPD , VAN DER GAAG, LC , (2015) PROPAGATION EFFECTS OF MODEL-CALCULATED PROBABILITY VALUES IN BAYESIAN NETWORKS.INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. VOL. 61. ISSUE . P. 1 -15 17 100% 2

Classes with closest relation at Level 1


Rank Class id link
1 23911 BAYESIAN BELIEF NETWORK//BAYESIAN NETWORKS//IBNDC
2 9073 GAUSSIAN GRAPHICAL MODEL//GRAPHICAL MODELS//CONDITIONAL INDEPENDENCE
3 36083 OUTDOOR SCENE DESCRIPTION//TOWER OF KNOWLEDGE//APPLIED ARTIFICIAL INTELLIGENCE IN ENGINEERING
4 26164 CELL OUTAGE DETECTION//FAULT PROPAGATION MODEL//EVENT CORRELATION
5 10707 CADIAG 2//MEDICAL EXPERT SYSTEMS//MEDICAL INFORMATICS
6 6275 GENE REGULATORY NETWORK//NETWORK INFERENCE//REVERSE ENGINEERING
7 4745 DEMPSTER SHAFER THEORY//BELIEF FUNCTIONS//IMPRECISE PROBABILITIES
8 12665 DECISION TREE//NUMERICAL ATTRIBUTES//SUPERVISED DISCRETIZATION
9 35191 LEAST COMMITMENT LEARNING//MEMORY BASED MODELING//PILLOWING DEFORMATION
10 9346 INDUCTIVE LOGIC PROGRAMMING//SUBGROUP DISCOVERY//STATISTICAL RELATIONAL LEARNING

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