Class information for: |
Basic class information |
| ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
|---|---|---|---|
| 12096 | 868 | 24.9 | 31% |
Classes in level above (level 2) |
| ID, lev. above |
Publications | Label for level above |
|---|---|---|
| 396 | 16220 | CREDIT SCORING//MACHINE LEARNING//FEATURE SELECTION |
Terms with highest relevance score |
| Rank | Term | Type of term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
|---|---|---|---|---|---|---|
| 1 | NUMERICAL ATTRIBUTES | Author keyword | 12 | 86% | 1% | 6 |
| 2 | FUZZY DECISION TREES | Author keyword | 5 | 30% | 1% | 13 |
| 3 | CASCADE GENERALIZATION | Author keyword | 4 | 75% | 0% | 3 |
| 4 | CONTINUOUS ATTRIBUTES | Author keyword | 4 | 38% | 1% | 8 |
| 5 | NEURAL TREES | Author keyword | 3 | 43% | 1% | 6 |
| 6 | MULTI VALUED ATTRIBUTE | Author keyword | 3 | 100% | 0% | 3 |
| 7 | POST PRUNING | Author keyword | 3 | 100% | 0% | 3 |
| 8 | NEURAL TREES NTS | Author keyword | 2 | 67% | 0% | 2 |
| 9 | NOISE HANDLING | Author keyword | 2 | 30% | 1% | 6 |
| 10 | DECISION TREE PRUNING | Author keyword | 2 | 50% | 0% | 3 |
Web of Science journal categories |
Author Key Words |
| Rank | Web of Science journal category | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
LCSH search | Wikipedia search |
|---|---|---|---|---|---|---|---|
| 1 | NUMERICAL ATTRIBUTES | 12 | 86% | 1% | 6 | Search NUMERICAL+ATTRIBUTES | Search NUMERICAL+ATTRIBUTES |
| 2 | FUZZY DECISION TREES | 5 | 30% | 1% | 13 | Search FUZZY+DECISION+TREES | Search FUZZY+DECISION+TREES |
| 3 | CASCADE GENERALIZATION | 4 | 75% | 0% | 3 | Search CASCADE+GENERALIZATION | Search CASCADE+GENERALIZATION |
| 4 | CONTINUOUS ATTRIBUTES | 4 | 38% | 1% | 8 | Search CONTINUOUS+ATTRIBUTES | Search CONTINUOUS+ATTRIBUTES |
| 5 | NEURAL TREES | 3 | 43% | 1% | 6 | Search NEURAL+TREES | Search NEURAL+TREES |
| 6 | MULTI VALUED ATTRIBUTE | 3 | 100% | 0% | 3 | Search MULTI+VALUED+ATTRIBUTE | Search MULTI+VALUED+ATTRIBUTE |
| 7 | POST PRUNING | 3 | 100% | 0% | 3 | Search POST+PRUNING | Search POST+PRUNING |
| 8 | NEURAL TREES NTS | 2 | 67% | 0% | 2 | Search NEURAL+TREES+NTS | Search NEURAL+TREES+NTS |
| 9 | NOISE HANDLING | 2 | 30% | 1% | 6 | Search NOISE+HANDLING | Search NOISE+HANDLING |
| 10 | DECISION TREE PRUNING | 2 | 50% | 0% | 3 | Search DECISION+TREE+PRUNING | Search DECISION+TREE+PRUNING |
Key Words Plus |
| Rank | Web of Science journal category | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
|---|---|---|---|---|---|
| 1 | MIXED MODE DATA | 10 | 57% | 1% | 12 |
| 2 | CHI2 ALGORITHM | 9 | 64% | 1% | 9 |
| 3 | CONTINUOUS ATTRIBUTES | 8 | 42% | 2% | 14 |
| 4 | DECISION TREES | 7 | 10% | 7% | 65 |
| 5 | DECISION TREE INDUCTION | 6 | 35% | 1% | 13 |
| 6 | MULTIVARIATE DISCRETIZATION | 3 | 100% | 0% | 3 |
| 7 | FUZZY DECISION TREES | 2 | 28% | 1% | 7 |
| 8 | MEDICAL DATA SETS | 2 | 67% | 0% | 2 |
| 9 | DISCRETIZATION ALGORITHM | 2 | 40% | 0% | 4 |
| 10 | EVOLUTIONARY INDUCTION | 1 | 100% | 0% | 2 |
Journals |
Reviews |
| Title | Publ. year | Cit. | Active references | % act. ref. to same field |
|---|---|---|---|---|
| Automatic construction of decision trees from data: A multi-disciplinary survey | 1998 | 256 | 142 | 38% |
| A SURVEY OF DECISION TREE CLASSIFIER METHODOLOGY | 1991 | 359 | 22 | 82% |
| Evolutionary design of decision trees for medical application | 2012 | 4 | 20 | 75% |
| Discretization as the enabling technique for the Naive Bayes and semi-Naive Bayes-based classification | 2010 | 4 | 24 | 71% |
| An introduction to decision tree modeling | 2004 | 39 | 22 | 32% |
| Simplifying decision trees: A survey | 1997 | 2 | 25 | 60% |
| Machine-learning techniques and their applications in manufacturing | 2005 | 7 | 69 | 23% |
| Designing neural network architectures for pattern recognition | 2000 | 2 | 11 | 36% |
| Fuzzy machine learning and data mining | 2011 | 1 | 40 | 23% |
| Explanatory Approach for Evaluation of Machine Learning-induced Knowledge | 2009 | 0 | 7 | 14% |
Address terms |
| Rank | Address term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
|---|---|---|---|---|---|
| 1 | CHAIR SYST COMP NETWORKS | 2 | 18% | 1.0% | 9 |
| 2 | CHIAR SYST COMP NETWORKS | 1 | 50% | 0.1% | 1 |
| 3 | COMPUTAT MATH IND COMMERCE | 1 | 50% | 0.1% | 1 |
| 4 | ECON SYST OPERAT | 1 | 50% | 0.1% | 1 |
| 5 | GROW GRP OTIMIZACAO WEB | 1 | 50% | 0.1% | 1 |
| 6 | GRP DATA ANAL MODELLING | 1 | 50% | 0.1% | 1 |
| 7 | IRIT SIG | 1 | 50% | 0.1% | 1 |
| 8 | KNOWLEDGE DISCOVERY DATA MIN GRP | 1 | 50% | 0.1% | 1 |
| 9 | KNOWLEDGE ENGN COMP INTELLIGENCE | 1 | 50% | 0.1% | 1 |
| 10 | OPEN SYMBOL COMP KNOWLEDGE ENGN STATE EDUC | 1 | 50% | 0.1% | 1 |
Related classes at same level (level 1) |
| Rank | Relatedness score | Related classes |
|---|---|---|
| 1 | 0.0000198944 | SURVIVAL TREES//RECURSIVE PARTITIONING//PRIM |
| 2 | 0.0000137570 | RULE EXTRACTION//RULE EXTRACTION FROM NEURAL NETWORKS//KNOWLEDGE INSERTION |
| 3 | 0.0000133446 | APRIORITID ALGORITHM//CNRS INP ENSIACET//GENERAL PURPOSE COMPUTING ON THE GRAPHICS PROCESSING UNIT |
| 4 | 0.0000127074 | INDUCTIVE LOGIC PROGRAMMING//SUBGROUP DISCOVERY//STATISTICAL RELATIONAL LEARNING |
| 5 | 0.0000123144 | CONCEPT DRIFT//VERY FAST DECISION TREE//DATA STREAMS |
| 6 | 0.0000113267 | PROTOTYPE SELECTION//INSTANCE SELECTION//PROTOTYPE REDUCTION SCHEMES PRS |
| 7 | 0.0000108625 | CLASS IMBALANCE PROBLEM//CLASS IMBALANCE//COST SENSITIVE LEARNING |
| 8 | 0.0000103322 | ERYTHEMATO SQUAMOUS//ERYTHEMATO SQUAMOUS DISEASES//FUZZY WEIGHTED PRE PROCESSING |
| 9 | 0.0000097737 | LEARNING CLASSIFIER SYSTEMS//XCS//ILLIGAL |
| 10 | 0.0000092963 | BOOSTING//BAGGING//ENSEMBLE PRUNING |