Titlebook: Database and Expert Systems Applications; DEXA 2018 Internatio Mourad Elloumi,Michael Granitzer,Roland Wagner Conference proceedings 2018 S

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Classifying Leukemia and Gout Patients with Neural Networksg is used to study the patients suffering from either gout or leukemia, but not both, with the use of their uric acid signatures. The study of the uric acid signatures involves the application of supervised machine learning, using an artificial neural network (ANN) with one hidden layer and sigmoid

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Incremental Wrapper Based Random Forest Gene Subset Selection for Tumor Discernmentplication process on the thousands of features. It is challenging to extract the precise statistics from this high-dimensional dataset. This paper presents the Incremental Wrapper based Random Forest Gene Subset Selection of Tumor discernment that mechanisms on the principle of incremental wrapper b

bisphosphonate

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Mining Geometrical Motifs Co-occurrences in the CMS Datasethe retrieval of unknown motifs in unfamiliar proteins that may be missed by widespread topological algorithms. In particular, the Cross Motif Search (CMS) algorithm analyzes pairs of proteins and retrieves every group of secondary structure elements that is similar between the two proteins. These si

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Suitable Overlapping Set Visualization Techniques and Their Application to Visualize Biclustering Re, it provides bi-dimensionality, grouping both genes and conditions together, since a group of genes can be co-regulated for a given condition but not for others. Second, it considers group overlaps, allowing genes to contribute to more than one activity. Visualizing biclustering results is a non-tr

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A Survey on Parallel Database Systems from a Storage Perspective: Rows Versus Columns to query processing. We consider parallel processing and the impact of much larger RAM, which brings back main-memory databases. We then discuss important parallel aspects including speedup, sequential bottlenecks, data redistribution, high speed networks, main memory processing with larger RAM and

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Script Based Migration Toolkit for Cloud Computing Architecture in Building Scalable Investment Platdual and aggregated loan level data in a meaningful format to facilitate our portfolio managers in decision making. The traditional methods are implemented on a standalone on-premises SQL server. Our Framework creates the foundation of migrating from traditional standalone database architecture (on-

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Performance Comparison of Three Spark-Based Implementations of Parallel Entity Resolutionf applications. However, few studies offer experimental measures to characterize the effect of such distinctions. In this paper we evaluate the performance impact of such choices for the specific application of parallel entity resolution under two different scenarios, with the goal to offer practica