Acquiring knowledge from inconsistent data sources through weighting

2010 ◽  
Vol 69 (8) ◽  
pp. 779-799 ◽  
Author(s):  
Shichao Zhang ◽  
Qingfeng Chen ◽  
Qiang Yang
Keyword(s):  
Data Sources ◽  
Inconsistent Data

Integrate inconsistent and heterogeneous data based on user feedback

2015 ◽  
Vol 8 (2) ◽  
pp. 187-203 ◽  
Author(s):  
Lihua Lu ◽  
Hengzhen Zhang ◽  
Xiao-Zhi Gao
Keyword(s):  
Data Integration ◽  
Data Model ◽  
Quality Criteria ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Content Type ◽  
Inconsistent Data ◽  
Data Inconsistency ◽  
Multi Attribute Decision Making ◽  
Data Source

Purpose – Data integration is to combine data residing at different sources and to provide the users with a unified interface of these data. An important issue on data integration is the existence of conflicts among the different data sources. Data sources may conflict with each other at data level, which is defined as data inconsistency. The purpose of this paper is to aim at this problem and propose a solution for data inconsistency in data integration. Design/methodology/approach – A relational data model extended with data source quality criteria is first defined. Then based on the proposed data model, a data inconsistency solution strategy is provided. To accomplish the strategy, fuzzy multi-attribute decision-making (MADM) approach based on data source quality criteria is applied to obtain the results. Finally, users feedbacks strategies are proposed to optimize the result of fuzzy MADM approach as the final data inconsistent solution. Findings – To evaluate the proposed method, the data obtained from the sensors are extracted. Some experiments are designed and performed to explain the effectiveness of the proposed strategy. The results substantiate that the solution has a better performance than the other methods on correctness, time cost and stability indicators. Practical implications – Since the inconsistent data collected from the sensors are pervasive, the proposed method can solve this problem and correct the wrong choice to some extent. Originality/value – In this paper, for the first time the authors study the effect of users feedbacks on integration results aiming at the inconsistent data.

scholarly journals Reconciliation of inconsistent data sources by correction for measurement error: The feasibility of parameter re-use

2018 ◽  
Vol 34 (3) ◽  
pp. 317-329 ◽  
Author(s):  
Paulina Pankowska ◽  
Bart Bakker ◽  
Daniel L. Oberski ◽  
Dimitris Pavlopoulos
Keyword(s):  
Measurement Error ◽  
Data Sources ◽  
Inconsistent Data

scholarly journals A Proposed DDS Enabled Model for Data Warehouses with Real Time Updates

2018 ◽  
Vol 7 (1) ◽  
pp. 31
Author(s):  
Munesh Chandra Trivedi ◽  
Virendra Kumar Yadav ◽  
Avadhesh Kumar Gupta
Keyword(s):  
Real Time ◽  
Data Warehouse ◽  
User Acceptance ◽  
Current Data ◽  
Decision Makers ◽  
Data Sources ◽  
Design Phase ◽  
Data Warehouses ◽  
Inconsistent Data ◽  
Proposed Model

<p>Data warehouse generally contains both types of data i.e. historical &amp; current data from various data sources. Data warehouse in world of computing can be defined as system created for analysis and reporting of these both types of data. These analysis report is then used by an organization to make decisions which helps them in their growth. Construction of data warehouse appears to be simple, collection of data from data sources into one place (after extraction, transform and loading). But construction involves several issues such as inconsistent data, logic conflicts, user acceptance, cost, quality, security, stake holder’s contradictions, REST alignment etc. These issues need to be overcome otherwise will lead to unfortunate consequences affecting the organization growth. Proposed model tries to solve these issues such as REST alignment, stake holder’s contradiction etc. by involving experts of various domains such as technical, analytical, decision makers, management representatives etc. during initialization phase to better understand the requirements and mapping these requirements to data sources during design phase of data warehouse.</p>

The formation of information security culture of college students

2019 ◽  
pp. 29-36
Author(s):  
I. D. Rudinskiy ◽  
D. Ya. Okolot
Keyword(s):  
College Students ◽  
Information Security ◽  
Information Society ◽  
Technical Aspect ◽  
Data Sources ◽  
Structural Components ◽  
Security Culture ◽  
The Individual ◽  
Information Security Culture ◽  
Ability And Willingness

The article discusses aspects of the formation of information security culture of college students. The relevance of the work is due to the increasing threats to the information security of the individual and society due to the rapid increase in the number of information services used. Based on this, one of the important problems of the development of the information society is the formation of a culture of information security of the individual as part of the general culture in its socio-technical aspect and as part of the professional culture of the individual. The study revealed the structural components of the phenomenon of information security culture, identified the reasons for the interest in the target group of students. It justifies the need for future mid-level specialists to form an additional universal competency that ensures the individual’s ability and willingness to recognize the need for certain information, to identify and evaluate the reliability and reliability of data sources. As a result of the study, recommendations were formulated on the basis of which a culture of information security for college students can be formed and developed and a decomposition of this process into enlarged stages is proposed. The proposals on the list of disciplines are formulated, within the framework of the study of which a culture of information security can develop. The authors believe that the recommendations developed will help future mid-level specialists to master the universal competency, consisting in the ability and willingness to recognize the need for certain information, to identify and evaluate the reliability and reliability of data sources, as well as to correctly access the necessary information and its further legitimate use, which ultimately forms a culture of information security.

SIMBOLISASI DALAM NOVEL SANG ALKEMIS KARYA PAULO QUELHO

2019 ◽  
Vol 7 (4) ◽  
pp. 79
Author(s):  
Endang Maruti
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Old Age ◽  
Qualitative Approach ◽  
Data Sources ◽  
The Novel ◽  
Note Taking ◽  
Literature Study ◽  
Collection Method ◽  
Data Collection Method

The research aims to uncover the symbols in the novel The Alchemist and to gain knowledge about the moral teachings in the symbol. This research is descriptive qualitative approach. Data sources in this study are words, phrases or sentences in the novel Alchemist. Data collection method is a literature study method with note taking technique. Data were analyzed using description and content analysis methods. The results showed that the novel The Alchemist contained many symbols. These symbols include: (1) wise parents, who symbolize both negative and positive things. From his appearance, parents can symbolize something bad, but behind his old age he symbolizes a knowledge that is very much and wise; (2) stones that symbolize something hard, not easily broken, and can provide clues to something; and (3) deserts or deserts which can be interpreted as symbols of drought, aridity, unattractiveness, emptiness, despair, determination for ignorance, and also as symbols of devotion.  

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