Comparative Analysis of Different Distributions Dataset by Using Data Mining Techniques on Credit Card Fraud Detection

Banks suffer multimillion-dollars losses each year for several reasons, the most important of which is due to credit card fraud. The issue is how to cope with the challenges we face with this kind of fraud. Skewed "class imbalance" is a very important challenge that faces this kind of fraud. Therefore, in this study, we explore four data mining techniques, namely naïve Bayesian (NB),Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Random Forest (RF), on actual credit card transactions from European cardholders. This paper offers four major contributions. First, we used under-sampling to balance the dataset because of the high imbalance class, implying skewed distribution. Second, we applied NB, SVM, KNN, and RF to under-sampled class to classify the transactions into fraudulent and genuine followed by testing the performance measures using a confusion matrix and comparing them. Third, we adopted cross-validation (CV) with 10 folds to test the accuracy of the four models with a standard deviation followed by comparing the results for all our models. Next, we examined these models against the entire dataset (skewed) using the confusion matrix and AUC (Area Under the ROC Curve) ranking measure to conclude the final results to determine which would be the best model for us to use with a particular type of fraud. The results showing the best accuracy for the NB, SVM, KNN and RF classifiers are 97,80%; 97,46%; 98,16% and 98,23%, respectively. The comparative results have been done by using four-division datasets (75:25), (90:10), (66:34) and (80:20) displayed that the RF performs better than NB, SVM, and KNN, and the results when utilizing our proposed models on the entire dataset (skewed), achieved preferable outcomes to the under-sampled dataset

Evaluation of the potency of FDA-approved drugs on wild type and mutant SARS-CoV-2 helicase (Nsp13)

SARS-CoV-2 has caused COVID-19 outbreak with nearly 2 M infected people and over 100K death worldwide, until middle of April 2020. There is no confirmed drug for the treatment of COVID-19 yet. As the disease spread fast and threaten human life, repositioning of FDA approved drugs may provide fast options for treatment. In this aspect, structure-based drug design could be applied as a powerful approach in distinguishing the viral drug target regions from the host. Evaluation of variations in SARS-CoV-2 genome may ease finding specific drug targets in the viral genome. In this study, 3458 SARS-CoV-2 genome sequences isolated from all around the world were analyzed. Incidence of C17747T and A17858G mutations were observed to be much higher than others and they were on Nsp13, a vital enzyme of SARS-CoV-2. Effect of these mutations was evaluated on protein-drug interactions using in silico methods. The most potent drugs were found to interact with the key and neighbor residues of the active site responsible from ATP hydrolysis. As result, cangrelor, fludarabine, folic acid and polydatin were determined to be the most potent drugs which have potency to inhibit both the wild type and mutant SARS-CoV-2 helicase. Clinical data supporting these findings would be important towards overcoming COVID-19

Targeting SARS-CoV-2 Nsp12/Nsp8 interactioninterface with approved and investigational drugs:an in silico structure-based approach

In this study, the Nsp12–Nsp8 complex of SARS-CoV-2 was targeted with structure-based and com-puter-aided drug design approach because of its vital role in viral replication. Sequence analysis ofRNA-dependent RNA polymerase (Nsp12) sequences from 30,366 different isolates were analysed forpossible mutations. FDA-approved and investigational drugs were screened for interaction with bothmutant and wild-type Nsp12–Nsp8 interfaces. Sequence analysis revealed that 70.42% of Nsp12sequences showed conserved P323L mutation, located in the Nsp8 binding cleft. Compounds werescreened for interface interaction, any with XP GScores lower than 7.0kcal/mol were considered aspossible interface inhibitors. RX-3117 (fluorocyclopentenyl cytosine) and Nebivolol had the highestbinding affinities in both mutant and wild-type enzymes, therefore they were selected and resultantprotein–ligand complexes were simulated for analysis of stability over 100ns. Although the selectedligands had partial mobility in the binding cavity, they were not removed from the binding pocketafter 100ns. The ligand RX-3117 remained in the same position in the binding pocket of the mutantand wild-type enzyme after 100ns MD simulation. However, the ligand Nebivolol folded andembedded in the binding pocket of mutant Nsp12 protein. Overall, FDA-approved and investigationaldrugs are able to bind to the Nsp12–Nsp8 interaction interface and prevent the formation of theNsp12–Nsp8 complex. Interruption of viral replication by drugs proposed in this study should be fur-ther tested to pave the way forin vivostudies towards the treatment of COVID-19

Targeting SARS-CoV-2 Nsp12/Nsp8 interaction interface with approved and investigational drugs: anin silicostructure-based approach

In this study, the Nsp12-Nsp8 complex of SARS-CoV-2 was targeted with structure-based and computer-aided drug design approach because of its vital role in viral replication. Sequence analysis of RNA-dependent RNA polymerase (Nsp12) sequences from 30,366 different isolates were analysed for possible mutations. FDA-approved and investigational drugs were screened for interaction with both mutant and wild-type Nsp12-Nsp8 interfaces. Sequence analysis revealed that 70.42% of Nsp12 sequences showed conserved P323L mutation, located in the Nsp8 binding cleft. Compounds were screened for interface interaction, any with XP GScores lower than -7.0 kcal/mol were considered as possible interface inhibitors. RX-3117 (fluorocyclopentenyl cytosine) and Nebivolol had the highest binding affinities in both mutant and wild-type enzymes, therefore they were selected and resultant protein-ligand complexes were simulated for analysis of stability over 100 ns. Although the selected ligands had partial mobility in the binding cavity, they were not removed from the binding pocket after 100 ns. The ligand RX-3117 remained in the same position in the binding pocket of the mutant and wild-type enzyme after 100 ns MD simulation. However, the ligand Nebivolol folded and embedded in the binding pocket of mutant Nsp12 protein. Overall, FDA-approved and investigational drugs are able to bind to the Nsp12-Nsp8 interaction interface and prevent the formation of the Nsp12-Nsp8 complex. Interruption of viral replication by drugs proposed in this study should be further tested to pave the way forin vivostudies towards the treatment of COVID-19

NEDEN VE SONUÇLARIYLA - OKSİMORONLUK -

Hakan Günday’ın Azil adlı yapıtında “oksimoronluk” olgusu, kutupluluk ilkesi bağlamında nasıl değerlendirilebilir

Utilization of critical path method in the planning and scheduling of a model drinking water treatment plant

Ankara : The Department of Management and the Institute of Management Sciences of Bilkent Univ. , 1989.Thesis (Master's) -- Bilkent University, 1989.Includes bibliographical references leaves 34-36.Peker, Oğuz AtaM.S

KABLOSUZ ALGILARICILARIN GÜNCEL KULLANIM ALANLARI

Teknolojinin gelişmesi ile algılayıcıların hem boyutları küçülmüş, hem de kapasiteleri ve işlevselliği artmıştır. Algılayıcılar günümüzde sıcaklıkta basınç olçmeye, hız haraket ve yön takibine kadar birçok notkada yaygın olarak kullanılmaktadır. Bu yaygın kullanımına paralel olarak kablosuz algılayıcılar üzerine yüzlerce akademik çalışma yapılmaktadır. Bu yayında kablosuz algılayıcılara ilgi duyan yeni araştırmacılara ışık tutabilmek için kablosuz algılayıcıların kullanım alanları kaynaklar ışığında açıklanmıştır

A novel algorithm for computer based assessment

Balık, Hasan Hüseyin (Arel Author)Student learning outcomes have been evaluated through graded assignments and tests by most paperbased assessment systems. But computer based assessments have the opportunity to improve the efficiency of assessments process. Recently internet is widely used in various areas from banking to trade, from education to entertainment. In this paper, ideas for efficient and fast usage of internet on education have been suggested and applied to implementation of multiple choice examination system. There are two contributions to the science in this paper. The first is the implementation of new software which uses the bandwidth efficiently. The second is to introduce new mechanism for creating question bank

Classification of melanonychia, Beau’s lines, and nail clubbing based on nail images and transfer learning techniques

Background Nail diseases are malformations that appear on the nail plate and are classified according to their own signs and symptoms that may be related to other medical conditions. Although most nail diseases have distinct symptoms, making a differential diagnosis of nail problems can be challenging for medical experts. Method One early diagnosis method for any dermatological disease is designing an image analysis system based on artificial intelligence (AI) techniques. This article implemented a novel model using a publicly available nail disease dataset to determine the occurrence of three common types of nail diseases. Two classification models based on transfer learning using visual geometry group (VGGNet) were utilized to detect and classify nail diseases from images. Result and Finding The experimental design results showed good accuracy: VGG16 had a score of 94% accuracy and VGG19 had a 93% accuracy rate. These findings suggest that computer-aided diagnostic systems based on transfer learning can be used to identify multiple-lesion nail diseases

KABLOSUZ ALGILAYICI AĞLARDA KULLANILAN TEKNOLOJİ VE PROTOKOLLER ÜZERİNE BİR İNCELEME

Bu çalışmada üzerinde birçok araştırmacının inceleme ve geliştirme yaptığı kablosuz algılayıcılar hakkında güncel bilgi derlemek amaçlanmıştır. Çalışma 2 bölümden oluşmaktadır. Birinci kısımda kablosuz ağların yapısı ve kullanılan teknolojiler detaylandırılmıştır. İkinci kısımda ise bu algılayıcılarda kullanılan ortam erişim ve yönlendirme protokolleri ayrıntıları ile açıklanmıştır