false positive rate (FPR)
Data Preprocessing for Reducing False Positive Rate in Intrusion Detection
... constructed from existing one, having different signature, Intrusion Detection System cannot detect that. Signature based Intrusion Detection Systems cannot detect new attacks till signature is generated and propagated ...
5
REDUCTION IN FALSE POSITIVE RATE BY COMBINING SVM AND KNN ALGO
... ABSTRACT: With the emergence of internet, we have faced intrusion problem in computer system such as a file is self- replicating in nature and try to encrypt other file etc. This research work is based on intrusion ...
9
Neural stimulation systems for the control of refractory epilepsy: a review
... FP: False positives; FPGA: Field-programmable gate array; FPR: False positive rate; HMM: Hidden Markov model; HRV: Heart rate variability; iEEG: Intercranial EEG; ILAP: International ...
17
1k-RiCA (1K-Rice Custom Amplicon) a novel genotyping amplicon-based SNP assay for genetics and breeding applications in rice
... FNR: False Negative Rate; FPR: False Positive Rate; GBS: Genotyping-by-sequencing; gDNA: Genomic DNA; GEBV: Genomic estimated breeding values; GS: Genomic selection; GT: Gelatinization ...
15
Bio/Nature-inspired algorithms in A.I. for malicious activity detection
... The authors in [42], have used fuzzy logic to detect (D)DoS jamming attacks at the Physical and MAC layers in IEEE 802.15.4 low rate wireless personal area networks. They have taken into consideration bad packet ...
42
Honesty, power and bootstrapping in composite interval quantitative trait locus mapping
... lower false positive rate than composite interval mapping as imple- mented by QTL Cartographer (Zmapqtl Model 6), at least for the maps and crossing design that they simu- ...and false ...
14
IMPLEMENTATION IN DECISION SUPPORT SYSTEM OF ONTOLOGICAL APPROACH TO EXTRACTION OF DATA ABOUT INFORMATION OBJECTS FROM NEWS FLOW
... In this work we have proposed and evaluated a new approach for classification of mammograms. This approach is based on Gentle AdaBoost. Our main contribution in this proposition is that the strong classifier is ...
6
Fair by design explainable models for prediction of recidivism
... the false positive rate for black people from ...the false negative rate, when a defendant is predicted to not recidivate but they do, for white population has decreased from ...
5
Recognition of human activities with wearable sensors
... remarkably reduced from 350 to 12 while fully maintaining the most discriminative information. The reduced feature vectors are then classified by the RVM technique according to an extended multiclass model, which shows ...
13
Virtual screening of bioassay data
... classification cost if the ratio of active compounds to inac- tive compounds (inactives/actives) had been used. In 10 out of 11 experiments, Naive Bayes has the smallest cost setting, then the SMO and finally the J48. In ...
12
Accurate preterm labor diagnosis using a CD55 TLR4 combination biomarker model
... the false positive rate (1-specificity) versus true positive rate (sensitivity) across the full range of classi- fication thresholds, avoiding the selection of a single value as the ...
5
Urine screening with the MS 2
... V 101 CFU/ml with a false positive rate of 1.5% for those urine specimens containing 105 CFU/ml, whereas false positive detection rates fell to 0.8% in those urine specimens containing 1[r] ...
5
Genetic Algorithm Operations Implementation on Traffic Anomaly Intrusion Detection using NSLKDD Dataset
... Intrusion Detection uses a set of rules for monitoring the actions in the network. Further, Intrusion Detection is classified into two categories based on the detection method, they are Signature(or Misuse) Intrusion ...
5
Threshold Selection Study on Fisher Discriminant Analysis Used in Exon Prediction for Unbalanced Data Sets
... the false negative rate and the false positive rate equal [6]; but for some real situations, the threshold could not be obtained by the method because the sizes of the positive ...
5
IP traceback through (authenticated) deterministic flow marking: an empirical evaluation
... high false-positive ...the false-positive rate not to go over 1%, if the number of concurrent attackers in a DDoS attack is not more than a limited ...
24
Early warning indicators for banking crises: a conditional moments approach
... The comparison between the first moment of the “pre-crisis” and the “tranquil periods” sample shows whether an indicator assumes, on average, higher levels before an imminent banking crisis than in tranquil times. The ...
24
Non parametric wavelet based texture synthesis
... In spite of the diversity in the magnitude of the wave- form characterizing the detected events, the threshold was correctly tuned for insuring a good rate of detection. How- ever, additional information is ...
6
False positive circumsporozoite protein ELISA: a challenge for the estimation of the entomological inoculation rate of malaria and for vector incrimination
... the false positivity in mainly zoophilic anophelines, the present study explored the possibility of other parasites, possibly transmitted by vectors and/or originating from animals, cross-reacting in the ...the ...
9
Binormal Precision-Recall and ROC Classification and Variable Selection
... lower false discovery rate is ...the positive example proportions, our proposed classifiers, both the AUCROC classifier and the AUCPR classifier are able to find the optimal classifier close to the ...
82
SuperWASP dispositions and false positive catalogue
... the false positive catalogue does not necessarily mean that there is not a planet in the system, only that there is not a planet of the predicted size and period found in the WASP ...
11