Class information for: |
Basic class information |
ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
---|---|---|---|
16431 | 589 | 33.3 | 39% |
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 | CLASS IMBALANCE PROBLEM | Author keyword | 18 | 67% | 3% | 16 |
2 | CLASS IMBALANCE | Author keyword | 15 | 29% | 7% | 44 |
3 | COST SENSITIVE LEARNING | Author keyword | 15 | 28% | 8% | 45 |
4 | IMBALANCED DATA SETS | Author keyword | 11 | 41% | 4% | 21 |
5 | IMBALANCED CLASSIFICATION | Author keyword | 9 | 43% | 3% | 17 |
6 | IMBALANCED DATA | Author keyword | 8 | 21% | 6% | 34 |
7 | IMBALANCED DATASETS | Author keyword | 6 | 31% | 3% | 17 |
8 | IMBALANCED LEARNING | Author keyword | 5 | 35% | 2% | 12 |
9 | CLASS IMBALANCE LEARNING CIL | Author keyword | 4 | 75% | 1% | 3 |
10 | DATA MIN MACHINE LEARNING | Address | 4 | 75% | 1% | 3 |
Web of Science journal categories |
Author Key Words |
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 | SMOTE | 33 | 47% | 9% | 52 |
2 | OVER SAMPLING TECHNIQUE | 7 | 53% | 2% | 10 |
3 | IMBALANCED DATA SETS | 7 | 44% | 2% | 12 |
4 | IMBALANCED DATA | 3 | 22% | 2% | 13 |
5 | CLASS IMBALANCE PROBLEM | 2 | 67% | 0% | 2 |
6 | TREE INDUCTION | 1 | 31% | 1% | 4 |
7 | VARYING CLASS DISTRIBUTIONS | 1 | 38% | 1% | 3 |
8 | CLASS DISTRIBUTIONS | 1 | 50% | 0% | 2 |
9 | MINIMAX PROBABILITY MACHINE | 1 | 50% | 0% | 2 |
10 | MINORITY CLASS | 1 | 50% | 0% | 2 |
Journals |
Reviews |
Title | Publ. year | Cit. | Active references |
% act. ref. to same field |
---|---|---|---|---|
Learning from Imbalanced Data | 2009 | 450 | 37 | 51% |
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches | 2012 | 81 | 63 | 46% |
All Approach for Detecting Spain in Arabic Opinion Reviews | 2015 | 0 | 1 | 100% |
A survey of data mining and knowledge discovery process models and methodologies | 2010 | 5 | 8 | 50% |
How to evaluate an agent's behavior to infrequent events? - Reliable performance estimation insensitive to class distribution | 2014 | 1 | 26 | 35% |
Toward an integrated knowledge discovery and data mining process model | 2010 | 1 | 7 | 57% |
ELM-based gene expression classification with misclassification cost | 2014 | 0 | 8 | 50% |
A review of boosting methods for imbalanced data classification | 2014 | 0 | 18 | 44% |
Toward data mining engineering: A software engineering approach | 2009 | 3 | 11 | 45% |
A survey of knowledge discovery and data mining process models | 2006 | 35 | 25 | 12% |
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 | DATA MIN MACHINE LEARNING | 4 | 75% | 0.5% | 3 |
2 | DPTO INGN ELECT SISTEMAS AUTOMAT | 4 | 75% | 0.5% | 3 |
3 | CITIC UGR INFORMAT COMMUN TECHNOL | 3 | 26% | 1.5% | 9 |
4 | INNOVAC DESARROLLO TECNOL COMP | 1 | 50% | 0.3% | 2 |
5 | THEORET EMPIR GRP | 1 | 100% | 0.3% | 2 |
6 | AVIAT SYST PROGRAM | 1 | 50% | 0.2% | 1 |
7 | CANADA BORDER SERV AGCY | 1 | 50% | 0.2% | 1 |
8 | COSDE GRP | 1 | 50% | 0.2% | 1 |
9 | DPTO TECNOL COMUNICAC | 1 | 50% | 0.2% | 1 |
10 | ECNU SRI JOINT PATTERN ANAL INTELLIGENT SYS | 1 | 50% | 0.2% | 1 |
Related classes at same level (level 1) |
Rank | Relatedness score | Related classes |
---|---|---|
1 | 0.0000191621 | FRAUD DETECTION//INSURANCE FRAUD//EX POST MORAL HAZARD |
2 | 0.0000189178 | PROTOTYPE SELECTION//INSTANCE SELECTION//PROTOTYPE REDUCTION SCHEMES PRS |
3 | 0.0000180436 | BOOSTING//BAGGING//ENSEMBLE PRUNING |
4 | 0.0000167658 | SQUARED LOSS MUTUAL INFORMATION//DENSITY RATIO ESTIMATION//DISAGREEMENT COEFFICIENT |
5 | 0.0000141972 | OPTIMAL CUT POINT//ROC CURVE//YOUDEN INDEX |
6 | 0.0000108625 | NUMERICAL ATTRIBUTES//FUZZY DECISION TREES//CASCADE GENERALIZATION |
7 | 0.0000105523 | OUTLIER DETECTION//NOVELTY DETECTION//ONE CLASS CLASSIFICATION |
8 | 0.0000099175 | POSTERIOR CLASS PROBABILITIES//POSTERIOR PROBABILITY ESTIMATION//SCISSORS EFFECT |
9 | 0.0000093837 | TWIN SUPPORT VECTOR MACHINE//TWIN SUPPORT VECTOR MACHINES//MULTIPLE KERNEL LEARNING |
10 | 0.0000093137 | ERYTHEMATO SQUAMOUS//ERYTHEMATO SQUAMOUS DISEASES//FUZZY WEIGHTED PRE PROCESSING |