Big data challenges are end-to-end problems. When handling big data it usually has to be preprocessed, moved, loaded, processed, and stored many times. This has led to the creation of big data pipelines. Current benchmarks related to big data only focus on isolated aspects of this pipeline, usually the processing, storage and loading aspects. To this date, there has not been any benchmark prese...

objectives: the aim of the study was to compare the effect of fifth and seventh generation bonding agent on sealant success. materials and methods: sixty-four school children aged six to nine years received sealants in four permanent molars in a split mouth design, such that each patient received sealant in the first permanent molar with fifth generation bonding agent in one arch and seventh ge...

Data-flow testing (DFT) checks the correctness of variable definitions by observing their corresponding uses. It has been empirically proved to be more effective than control-flow testing in fault detection, however, its complexities still overwhelm the testers in practice. To tackle this problem, we introduce a hybrid testing framework: (1) The core of our framework is symbolic execution, enha...

Traditional association rule mining method mines association rules only for the items bought by the customer. However an actual transaction consists of the items bought by the customer along with the quantity of items bought. This paper reconsiders the traditional database by taking into account both items as well as its quantity. This new transaction database is named as bag database and each ...

Generating realistic test data is a major problem for software testers. Realistic test data generation for certain input types is hard to automate and therefore laborious. We propose a novel automated solution to test data generation that exploits existing web services as sources of realistic test data. Our approach is capable of generating realistic test data and also generating data based on ...

MATHia X is the next generation implementation of Carnegie Learning’s Cognitive Tutor (CT), a widely deployed, researchbased mathematics curriculum that has provided data for many educational data mining studies. While many researchers are familiar with the basic operation of the system, there are several features that may affect analysis and interpretation of data that are less well known. We ...