Ambient Data Modeling and Analysis

2017 ◽  
pp. 225-262
Author(s):  
Siu-Kui Au
Keyword(s):  
Data Modeling ◽  
Modeling And Analysis ◽  
Ambient Data

Part 4b: Application of data modeling and analysis techniques to the CO2capture process system

2012 ◽  
Vol 3 (1) ◽  
pp. 81-94 ◽  
Author(s):  
Qing Zhou ◽  
Yuxiang Wu ◽  
Christine W Chan ◽  
Paitoon Tontiwachwuthikul ◽  
Raphael O Idem ◽  
...  
Keyword(s):  
Data Modeling ◽  
Modeling And Analysis ◽  
Analysis Techniques ◽  
Process System

Research Challenges in Financial Data Modeling and Analysis

Big Data ◽  
2017 ◽  
Vol 5 (3) ◽  
pp. 177-188 ◽  
Author(s):  
Lewis Alexander ◽  
Sanjiv R. Das ◽  
Zachary Ives ◽  
H.V. Jagadish ◽  
Claire Monteleoni
Keyword(s):  
Data Modeling ◽  
Financial Data ◽  
Modeling And Analysis ◽  
Research Challenges

Concept-Oriented Query Language for Data Modeling and Analysis

2011 ◽  
pp. 85-101 ◽  
Author(s):  
Alexandr Savinov
Keyword(s):  
Partial Order ◽  
Query Language ◽  
Data Modeling ◽  
Multidimensional Analysis ◽  
Inclusion Relation ◽  
Modeling And Analysis ◽  
Domain Specific

This chapter describes a novel query language, called the concept-oriented query language (COQL), and demonstrates how it can be used for data modeling and analysis. The query language is based on a novel construct, called concept, and two relations between concepts, inclusion and partial order. Concepts generalize conventional classes and are used for describing domain-specific identities. Inclusion relation generalizes inheritance and is used for describing hierarchical address spaces. Partial order among concepts is used to define two main operations: projection and de-projection. This chapter demonstrates how these constructs are used to solve typical tasks in data modeling and analysis such as logical navigation, multidimensional analysis, and inference.

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