Class information for:
Level 1: RULE EXTRACTION//KNOWLEDGE INSERTION//RULE EXTRACTION FROM NEURAL NETWORKS

Basic class information
Class id #P Avg. number of
references		 Database coverage
of references
21323 424 29.2 37%


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
21323 1                   RULE EXTRACTION//KNOWLEDGE INSERTION//RULE EXTRACTION FROM NEURAL NETWORKS 424

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 RULE EXTRACTION authKW 1856357 18% 33% 77
2 KNOWLEDGE INSERTION authKW 216049 1% 100% 3
3 RULE EXTRACTION FROM NEURAL NETWORKS authKW 162036 1% 75% 3
4 CLASSIFICATION EXPLANATION authKW 144033 0% 100% 2
5 HYBRID RULE BASES authKW 144033 0% 100% 2
6 LOGICAL RULE EXTRACTION authKW 144033 0% 100% 2
7 M OF N RULES authKW 144033 0% 100% 2
8 MODEL COMPREHENSIBILITY authKW 144033 0% 100% 2
9 MODEL EXPLANATION authKW 144033 0% 100% 2
10 NEURAL SYMBOLIC LEARNING SYSTEMS authKW 144033 0% 100% 2

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 20653 57% 0% 243
2 Computer Science, Theory & Methods 1861 19% 0% 79
3 Computer Science, Information Systems 1145 14% 0% 59
4 Engineering, Electrical & Electronic 502 22% 0% 93
5 Operations Research & Management Science 367 7% 0% 30
6 Computer Science, Hardware & Architecture 357 5% 0% 23
7 Computer Science, Interdisciplinary Applications 325 8% 0% 34
8 Computer Science, Cybernetics 252 2% 0% 10
9 Medical Informatics 239 3% 0% 13
10 Computer Science, Software Engineering 99 4% 0% 17

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 D INGN CIENCIA COMPUTADO 96021 0% 67% 2
2 NEUROCOMP 81015 1% 38% 3
3 ALVIN H CH MAN 72016 0% 100% 1
4 BSC COMP SCI PROGRAM 72016 0% 100% 1
5 CIENCIAS EXATAS AMBIENTAIS TECNOL CEATEC 72016 0% 100% 1
6 CISMG 72016 0% 100% 1
7 COMP RUCTOR PREPARAT 72016 0% 100% 1
8 CONTROL INTELLIGENT SYST ENGN 72016 0% 100% 1
9 ELECT COMP ENGNHEROON POLYTECH 72016 0% 100% 1
10 INFORMAT INNOVAT TECHNOL 72016 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 IEEE TRANSACTIONS ON NEURAL NETWORKS 20958 7% 1% 29
2 COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY 9937 1% 3% 5
3 APPLIED INTELLIGENCE 7074 3% 1% 11
4 LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 6273 9% 0% 38
5 MEDICAL INFORMATICS AND THE INTERNET IN MEDICINE 3066 1% 1% 3
6 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2882 3% 0% 11
7 NEURAL COMPUTATION 2306 2% 0% 9
8 NEURAL COMPUTING & APPLICATIONS 1956 2% 0% 8
9 INFORMATION SCIENCES-APPLICATIONS 1944 0% 3% 1
10 NEUROCOMPUTING 1903 4% 0% 16

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 RULE EXTRACTION 1856357 18% 33% 77 Search RULE+EXTRACTION Search RULE+EXTRACTION
2 KNOWLEDGE INSERTION 216049 1% 100% 3 Search KNOWLEDGE+INSERTION Search KNOWLEDGE+INSERTION
3 RULE EXTRACTION FROM NEURAL NETWORKS 162036 1% 75% 3 Search RULE+EXTRACTION+FROM+NEURAL+NETWORKS Search RULE+EXTRACTION+FROM+NEURAL+NETWORKS
4 CLASSIFICATION EXPLANATION 144033 0% 100% 2 Search CLASSIFICATION+EXPLANATION Search CLASSIFICATION+EXPLANATION
5 HYBRID RULE BASES 144033 0% 100% 2 Search HYBRID+RULE+BASES Search HYBRID+RULE+BASES
6 LOGICAL RULE EXTRACTION 144033 0% 100% 2 Search LOGICAL+RULE+EXTRACTION Search LOGICAL+RULE+EXTRACTION
7 M OF N RULES 144033 0% 100% 2 Search M+OF+N+RULES Search M+OF+N+RULES
8 MODEL COMPREHENSIBILITY 144033 0% 100% 2 Search MODEL+COMPREHENSIBILITY Search MODEL+COMPREHENSIBILITY
9 MODEL EXPLANATION 144033 0% 100% 2 Search MODEL+EXPLANATION Search MODEL+EXPLANATION
10 NEURAL SYMBOLIC LEARNING SYSTEMS 144033 0% 100% 2 Search NEURAL+SYMBOLIC+LEARNING+SYSTEMS Search NEURAL+SYMBOLIC+LEARNING+SYSTEMS

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 SETIONO, R , BAESENS, B , MUES, C , (2008) RECURSIVE NEURAL NETWORK RULE EXTRACTION FOR DATA WITH MIXED ATTRIBUTES.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 19. ISSUE 2. P. 299-307 18 82% 30
2 HRUSCHKA, ER , EBECKEN, NFF , (2006) EXTRACTING RULES FROM MULTILAYER PERCEPTRONS IN CLASSIFICATION PROBLEMS: A CLUSTERING-BASED APPROACH.NEUROCOMPUTING. VOL. 70. ISSUE 1-3. P. 384 -397 18 86% 30
3 HEH, JS , CHEN, JC , CHANG, M , (2008) DESIGNING A DECOMPOSITIONAL RULE EXTRACTION ALGORITHM FOR NEURAL NETWORKS WITH BOUND DECOMPOSITION TREE.NEURAL COMPUTING & APPLICATIONS. VOL. 17. ISSUE 3. P. 297 -309 15 83% 3
4 ZHOU, ZH , (2004) RULE EXTRACTION: USING NEURAL NETWORKS OR FOR NEURAL NETWORKS?.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY. VOL. 19. ISSUE 2. P. 249-253 15 88% 15
5 CHEN, JC , HEH, JS , CHANG, MG , (2006) DESIGNING A DECOMPOSITIONAL RULE EXTRACTION ALGORITHM FOR NEURAL NETWORKS.ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1. VOL. 3971. ISSUE . P. 1305 -1311 12 100% 0
6 SAAD, EW , WUNSCH, DC , (2007) NEURAL NETWORK EXPLANATION USING INVERSION.NEURAL NETWORKS. VOL. 20. ISSUE 1. P. 78 -93 17 61% 20
7 KAMRUZZAMAN, SM , HAMID, MA , SARKAR, AMJ , (2012) ERANN: AN ALGORITHM TO EXTRACT SYMBOLIC RULES FROM TRAINED ARTIFICIAL NEURAL NETWORKS.IETE JOURNAL OF RESEARCH. VOL. 58. ISSUE 2. P. 138 -154 17 55% 1
8 ODAJIMA, K , HAYASHI, Y , TIANXIA, G , SETIONO, R , (2008) GREEDY RULE GENERATION FROM DISCRETE DATA AND ITS USE IN NEURAL NETWORK RULE EXTRACTION.NEURAL NETWORKS. VOL. 21. ISSUE 7. P. 1020-1028 13 72% 10
9 HAYASHI, Y , SETIONO, R , AZCARRAGA, A , (2016) NEURAL NETWORK TRAINING AND RULE EXTRACTION WITH AUGMENTED DISCRETIZED INPUT.NEUROCOMPUTING. VOL. 207. ISSUE . P. 610 -622 19 40% 0
10 DE FORTUNY, EJ , MARTENS, D , (2015) ACTIVE LEARNING-BASED PEDAGOGICAL RULE EXTRACTION.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 26. ISSUE 11. P. 2664 -2677 16 48% 0

Classes with closest relation at Level 1


Rank Class id link
1 10107 SYSTEMATICITY//RECURRENT NEURAL NETWORKS//CONNECTIONISM
2 16684 DOPPLER SIGNAL//DOPPLER HEART SOUNDS//ERYTHEMATO SQUAMOUS DISEASES
3 12665 DECISION TREE//NUMERICAL ATTRIBUTES//SUPERVISED DISCRETIZATION
4 6790 FEEDFORWARD NEURAL NETWORKS//BACKPROPAGATION//ONLINE GRADIENT METHOD
5 1321 FUZZY MODELING//IEEE TRANSACTIONS ON FUZZY SYSTEMS//FUZZY SYSTEMS
6 35164 JETTING DISPENSER//TIME PRESSURE DISPENSING//PIEZOSTACK ACTUATOR
7 36337 MIN MAX MODULAR NEURAL NETWORK//NATIONAL VOTING//BRAIN OPERAT DEVICE
8 15865 ADAPTIVE RESONANCE THEORY//FUZZY ARTMAP//ARTMAP
9 32287 TESTOR THEORY//GUHA METHOD//NON REDUCIBLE DESCRIPTORS
10 31840 N TUPLE CLASSIFIER//SIGMA PI//RAM NETS

Go to start page