標(biāo)題: Titlebook: Database and Expert Systems Applications; DEXA 2018 Internatio Mourad Elloumi,Michael Granitzer,Roland Wagner Conference proceedings 2018 S [打印本頁] 作者: mandatory 時間: 2025-3-21 17:04
書目名稱Database and Expert Systems Applications影響因子(影響力)
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書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Database and Expert Systems Applications被引頻次
書目名稱Database and Expert Systems Applications被引頻次學(xué)科排名
書目名稱Database and Expert Systems Applications年度引用
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書目名稱Database and Expert Systems Applications讀者反饋
書目名稱Database and Expert Systems Applications讀者反饋學(xué)科排名
作者: Awning 時間: 2025-3-21 23:25
ThespisDIIP: Distributed Integrity Invariant Preservationtracting complexities for application developers behind a REST open-protocol interface. ThespisDIIP is an extension that treats the concept of integrity invariance preservation for the class of problems where value changes must be satisfied according to a Linear Arithmetic Inequality constraint. An 作者: Redundant 時間: 2025-3-22 01:44 作者: Pelvic-Floor 時間: 2025-3-22 08:18
Script Based Migration Toolkit for Cloud Computing Architecture in Building Scalable Investment Plat quality and lack of proper tools to measure portfolio risks by the lenders. Even though several problems led to this crisis, we looked at this from a Big Data. Had the infrastructure and analytical analysis tools were present to the lenders, they would have found the various early warning signs on 作者: 解脫 時間: 2025-3-22 10:02
Space-Adaptive and Workload-Aware Replication and Partitioning for Distributed RDF Triple Storesrage level both a careful partitioning (in order to keep the queried data in the same machine), and a careful data replication strategy (in order to enhance the probability of a query finding the required data locally). Analyzing the collected workload trend can provide a base to highlight the more 作者: 來就得意 時間: 2025-3-22 12:52
Performance Comparison of Three Spark-Based Implementations of Parallel Entity Resolutionse frameworks, people are easier to manage distributed programming, failures and data partitioning issues. Entity Resolution is a typical application that requires big data processing frameworks, since its time complexity increases quadratically with the input data. In recent years Apache Spark has 作者: 來就得意 時間: 2025-3-22 19:43 作者: homeostasis 時間: 2025-3-22 21:51 作者: optic-nerve 時間: 2025-3-23 04:29 作者: Contort 時間: 2025-3-23 06:03 作者: Hectic 時間: 2025-3-23 10:10 作者: 口訣法 時間: 2025-3-23 15:23
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 作者: 感情 時間: 2025-3-23 19:59
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作者: bisphosphonate 時間: 2025-3-23 22:43 作者: 歡樂東方 時間: 2025-3-24 03:10
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作者: jet-lag 時間: 2025-3-24 06:36
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作者: opprobrious 時間: 2025-3-24 13:35
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作者: 口味 時間: 2025-3-24 16:12
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-作者: Ganglion-Cyst 時間: 2025-3-24 22:43 作者: 積習(xí)已深 時間: 2025-3-25 00:17
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作者: Intentional 時間: 2025-3-25 06:40
Big Data Analytics: Exploring Graphs with Optimized SQL Queriesntally show exploratory queries can be efficiently evaluated based on the input edges and it performs better than Spark. We also show that skewed degree vertices, cycles and cliques are the main reason exploratory queries become slow.作者: Anthology 時間: 2025-3-25 07:47
Detecting Low Back Pain from Clinical Narratives Using Machine Learning Approachessits. The initial results show a high accuracy for the limited thirty-four patient labelled data set that we used in this pilot study. We are currently processing a larger data set to test our approach.作者: COMA 時間: 2025-3-25 14:13
Classifying Big DNA Methylation Data: A Gene-Oriented Approachs) and we are able to successfully discriminate tumoral from non tumoral samples using function-, tree-, and rule-based classifiers. Finally, we select the best performing genes (matrices) ranking them according to the accuracy of the classifiers and we execute an enrichment analysis of them. Those 作者: 口味 時間: 2025-3-25 18:11 作者: 強(qiáng)所 時間: 2025-3-25 22:32 作者: Decibel 時間: 2025-3-26 00:38 作者: MOAN 時間: 2025-3-26 06:32
Suitable Overlapping Set Visualization Techniques and Their Application to Visualize Biclustering Ret recent years. Some of them can be considered as an ideal solution to visualize large sets with high number of possible relations between them. In this paper, we firstly review several set-visualizing techniques that we consider most suitable to satisfy the two mentioned features of biclustering an作者: arterioles 時間: 2025-3-26 09:44 作者: ferment 時間: 2025-3-26 15:00 作者: pancreas 時間: 2025-3-26 20:13
https://doi.org/10.1007/978-1-84882-730-1ork we present our adaptable partitioning and replication approach for a distributed RDF triples store. The approach enables the storage layer to adapt with the available size of storage space and with the available quality of workload aiming to give the most optimized performance under these variab作者: LURE 時間: 2025-3-26 23:19 作者: conduct 時間: 2025-3-27 04:06
Observer-Based Feedback Stabilizationntally show exploratory queries can be efficiently evaluated based on the input edges and it performs better than Spark. We also show that skewed degree vertices, cycles and cliques are the main reason exploratory queries become slow.作者: atopic 時間: 2025-3-27 09:00
Observer-Based Feedback Stabilizationsits. The initial results show a high accuracy for the limited thirty-four patient labelled data set that we used in this pilot study. We are currently processing a larger data set to test our approach.作者: Merited 時間: 2025-3-27 12:01
https://doi.org/10.1007/978-3-540-74345-3s) and we are able to successfully discriminate tumoral from non tumoral samples using function-, tree-, and rule-based classifiers. Finally, we select the best performing genes (matrices) ranking them according to the accuracy of the classifiers and we execute an enrichment analysis of them. Those 作者: degradation 時間: 2025-3-27 16:28 作者: 苦惱 時間: 2025-3-27 18:24
https://doi.org/10.1007/1-84628-449-X promising to increase throughput and performance of protein identification in a metaproteomics workflow. In this paper we analyze the core functions of the established protein identification engine X!Tandem and show that streaming Fast Data architectures are suitable for protein identification. Fur作者: 上流社會 時間: 2025-3-28 00:20
Passenger Transportation Systems we call protein “co-occurrences” to guide data mining on the CMS dataset. Preliminary results show that the proposed implementation is computationally efficient and is able to select only a small subset of significant motifs.作者: 暗語 時間: 2025-3-28 05:40
Modeling Variable-Geometry Suspension Systemt recent years. Some of them can be considered as an ideal solution to visualize large sets with high number of possible relations between them. In this paper, we firstly review several set-visualizing techniques that we consider most suitable to satisfy the two mentioned features of biclustering an作者: conceal 時間: 2025-3-28 09:22 作者: Maximizer 時間: 2025-3-28 11:23
Control of Ships and Underwater Vehiclesg query workloads (cubes, exploration, pre-processing). Parallel and main memory processing have become important features to exploit new hardware and cope with data volume. With such landscape in mind, we present a survey comparing modern row and columnar DBMSs, contrasting their ability to write d作者: 直覺好 時間: 2025-3-28 18:19 作者: chlorosis 時間: 2025-3-28 21:08 作者: Parameter 時間: 2025-3-29 01:38 作者: condemn 時間: 2025-3-29 03:40 作者: Mammal 時間: 2025-3-29 07:46
https://doi.org/10.1007/978-3-540-74345-3se frameworks, people are easier to manage distributed programming, failures and data partitioning issues. Entity Resolution is a typical application that requires big data processing frameworks, since its time complexity increases quadratically with the input data. In recent years Apache Spark has 作者: 凹處 時間: 2025-3-29 14:16
Observer-Based Feedback Stabilizationatterns hidden in the graph. On the other hand, there is a lot of data stored on DBMSs that can be potentially analyzed as graphs. External graph data sets can be quickly loaded. It is feasible to load data quickly and that SQL can help prepare graph data sets from raw data. In this paper, we show S作者: 令人苦惱 時間: 2025-3-29 17:03 作者: 淘氣 時間: 2025-3-29 20:32
https://doi.org/10.1007/978-3-540-74345-3 large number of features is not capturing the actual relationship between those points. However, objects of similar cluster both often have some common attributes despite the fact that their geometrical distance could be somewhat large. In this study, we proposed a new method that replaced the give作者: 逗留 時間: 2025-3-30 01:17 作者: 外面 時間: 2025-3-30 07:29 作者: accordance 時間: 2025-3-30 09:14 作者: Indent 時間: 2025-3-30 15:33
https://doi.org/10.1007/1-84628-449-Xplication 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作者: Fantasy 時間: 2025-3-30 18:51
https://doi.org/10.1007/1-84628-449-XSince only identified data can be analyzed, identification algorithms such as X!Tandem, OMSSA and Mascot are essential in the domain, to get insights into the biological experimental data. However, protein identification software has been developed for proteomics. Metaproteomics, in contrast, involv作者: 革新 時間: 2025-3-30 21:58 作者: reaching 時間: 2025-3-31 01:15 作者: 拱形面包 時間: 2025-3-31 06:48 作者: 柔聲地說 時間: 2025-3-31 11:06
https://doi.org/10.1007/978-3-319-99133-7artificial intelligence; big data; cloud computing; data mining; parallel processing systems; query langu作者: 赦免 時間: 2025-3-31 15:29 作者: MAL 時間: 2025-3-31 18:55
Database and Expert Systems Applications978-3-319-99133-7Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 造反,叛亂 時間: 2025-4-1 01:05
