"Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI" - Information and Links:

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI - Info and Reading Options

"Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI" was published by Springer Berlin / Heidelberg in 2020 - Berlin, Heidelberg, it has 1 pages and the language of the book is English.


“Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI” Metadata:

  • Title: ➤  Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI
  • Authors:
  • Language: English
  • Number of Pages: 1
  • Publisher: Springer Berlin / Heidelberg
  • Publish Date:
  • Publish Location: Berlin, Heidelberg

Edition Specifications:

  • Weight: 0.454
  • Pagination: vii, 189

Edition Identifiers:

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"Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI" Description:

Open Data:

Intro -- Preface -- Organization -- Contents -- Extracting Insights: A Data Centre Architecture Approach in Million Genome Era -- 1 Introduction -- 2 Literature Review -- 2.1 Genomics Data File Formats -- 3 Proposed Framework -- 3.1 Data Centre Services -- 3.2 Data Centre Middleware -- 3.3 Data Centre Infrastructure Service -- 3.4 Genomics Variant Analysis: A Case Study -- 4 Empirical Performance Evaluation -- 4.1 Experimental Setup -- 5 Conclusions and Future Work -- References -- Dynamic Estimation and Grid Partitioning Approach for Multi-objective Optimization Problems in Medical Cloud Federations -- 1 Introduction -- 2 Background -- 2.1 Cloud Federation -- 2.2 Pareto Plan Set -- 2.3 IReS -- 2.4 Multiple Linear Regression -- 2.5 NSGA -- 2.6 Motivation -- 3 Dynamic Regression Algorithm -- 4 Non-dominated Sorting Genetic Algorithm Based on Grid Partitioning -- 4.1 Main Process -- 4.2 Non-dominated Sorting -- 4.3 Filter Front Process -- 4.4 Selecting the Size of Grid -- 5 Validation -- 5.1 DREAM -- 5.2 NSGA-G -- 6 Conclusion -- References -- Temporal Pattern Mining for E-commerce Dataset -- 1 Introduction -- 1.1 Motivations -- 1.2 Contribution -- 2 Related Work -- 3 Problem Reformulation -- 4 Sequential Event Pattern Mining -- 4.1 Build the List of IDListExt -- 4.2 SEPM Without Duration -- 4.3 SEPM with Duration -- 4.4 SEPM with Parallel Mining Process -- 5 Experimental Results -- 5.1 Datasets -- 5.2 Categorization -- 5.3 Discriminatory Patterns -- 5.4 Performances -- 6 Conclusion -- A Appendix -- References -- Scalable Schema Discovery for RDF Data -- 1 Introduction -- 2 Motivation -- 3 Overview of the Approach -- 4 Distributing Data over Computing Nodes -- 4.1 Initial Distribution -- 4.2 Managing Big Chunks -- 5 Core Identification -- 6 Local Clustering -- 7 Global Merging -- 8 Experiments -- 8.1 The Datasets

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