The prospects for hierarchical data processing with growing complexity of the post-tapeout flow

2005 ◽  
Author(s):  
Steffen Schulze ◽  
Emile Sahouria
Keyword(s):  
Data Processing ◽  
Hierarchical Data

Data Associations Between Two Hierarchy Trees

2018 ◽  
Vol 29 (07) ◽  
pp. 1181-1201
Author(s):  
Shuo Yan ◽  
Yunyong Zhang ◽  
Binfeng Yan ◽  
Lin Yan ◽  
Jinfeng Kou
Keyword(s):  
Data Processing ◽  
Data Association ◽  
Algorithm Design ◽  
Necessary Condition ◽  
Data Sets ◽  
Hierarchical Data ◽  
Data Set ◽  
Actual Problem ◽  
Numerical Information ◽  
Set Up

To study the data association, a structure called a hierarchy tree is constructed. It is based on the approach to hierarchical data processing, and constituted by different level partitions of a data set. This leads to the definition of the data association, thereby links two hierarchy trees together. The research on the data association focuses on the way to check whether data are associated with other data. The investigation includes the issues: the intuitive and formal methods for constructing hierarchy trees, the technique of making granules hierarchical, the sufficient and necessary condition for measuring the data association, the analysis of basing the closer data association on the closer data identity, the discussion of connecting numerical information with association closeness, etc. Crucially, the hierarchical data processing and numerical information are important characteristics of the research. As an applied example, two hierarchy trees are set up, demonstrating the hierarchical granulation process of two actual data sets. Data associations between the data sets are characterized by the approach developed in this paper, which provides the basis of algorithm design for the actual problem. In particular, since the research is relevant to granules and alterations of granularity, it may offer an avenue of research on granular computing.

scholarly journals Analytics-as-a-service in a multi-cloud environment through semantically-enabled hierarchical data processing

2016 ◽  
Vol 47 (8) ◽  
pp. 1139-1156 ◽  
Author(s):  
Prem Prakash Jayaraman ◽  
Charith Perera ◽  
Dimitrios Georgakopoulos ◽  
Schahram Dustdar ◽  
Dhavalkumar Thakker ◽  
...  
Keyword(s):  
Data Processing ◽  
Hierarchical Data ◽  
Cloud Environment ◽  
Multi Cloud

The Karolinska Hospital Information System

1974 ◽  
Vol 13 (03) ◽  
pp. 125-140 ◽  
Author(s):  
Ch. Mellner ◽  
H. Selajstder ◽  
J. Wolodakski
Keyword(s):  
Information System ◽  
Data Processing ◽  
Data Base ◽  
Hospital Information System ◽  
Care Delivery ◽  
Traditional Approach ◽  
Processing System ◽  
Systems Design ◽  
Data Processing System ◽  
Karolinska Hospital

The paper gives a report on the Karolinska Hospital Information System in three parts.In part I, the information problems in health care delivery are discussed and the approach to systems design at the Karolinska Hospital is reported, contrasted, with the traditional approach.In part II, the data base and the data processing system, named T1—J 5, are described.In part III, the applications of the data base and the data processing system are illustrated by a broad description of the contents and rise of the patient data base at the Karolinska Hospital.

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