Big Data: A Survey

Chen, Min; Mao, Shiwen; Liu, Yunhao

doi:10.1007/s11036-013-0489-0

Cited by 2,603 publications

(1,308 citation statements)

References 105 publications

Supporting

Mentioning

1,089

Contrasting

Unclassified

Order By: Relevance

“…A preliminary look into the rationales and challenges involved in the integration of quantitative and qualitative geographic data was provided in [60]. In addition, the combination of datasets in the big data age needs to cope with a number of challenges listed in [20,61], for example efficient data representation, redundancy reduction and data compression, spurious correlations, and noise accumulation. …”

Section: Analytical Methods and Toolsmentioning

confidence: 99%

“…[19] proposes a similar concept, the so-called "Social Internet of Things" paradigm, in which things borrow the concepts of cooperation and social relationships for the establishment and management of social relationships between smart objects or things. As Chen et al [20] point out, the widespread deployment of IoT drives the high growth of data both in quantity and diversity, which results in big data. Similarly, the application of big data technology to IoT accelerates research in this area and facilitates the development of new business models for IoT.…”

Section: Trends In Technologies Architectures and Infrastructures Fmentioning

confidence: 99%

See 1 more Smart Citation

Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience

Degbelo

Granell

Trilles

et al. 2016

IJGI

134

View full text Add to dashboard Cite

Abstract:The holy grail of smart cities is an integrated, sustainable approach to improve the efficiency of the city's operations and the quality of life of citizens. At the heart of this vision is the citizen, who is the primary beneficiary of smart city initiatives, either directly or indirectly. Despite the recent surge of research and smart cities initiatives in practice, there are still a number of challenges to overcome in realizing this vision. This position paper points out six citizen-related challenges: the engagement of citizens, the improvement of citizens' data literacy, the pairing of quantitative and qualitative data, the need for open standards, the development of personal services, and the development of persuasive interfaces. The article furthermore advocates the use of methods and techniques from GIScience to tackle these challenges, and presents the concept of an Open City Toolkit as a way of transferring insights and solutions from GIScience to smart cities.

show abstract

Section: Analytical Methods and Toolsmentioning

confidence: 99%

Section: Trends In Technologies Architectures and Infrastructures Fmentioning

confidence: 99%

Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience

Degbelo

Granell

Trilles

et al. 2016

IJGI

134

View full text Add to dashboard Cite

show abstract

“…When solving the problem of obtaining depth maps for a set of data obtained from a group of cameras [4]. For preliminary simplification of data, the main task is to improve the performance of systems working with a great amount of data [5]. For preliminary analysis in case of solving the problem of stitching images into one composition [6] and many other problems.…”

Section: Introductionmentioning

confidence: 99%

The solution of the problem of simplifying the images for the subsequent minimization of the image bit depth

Semenishchev¹,

Voronin²,

Shraifel³

2018

CSRN

View full text Add to dashboard Cite

In this paper, the approach of changing bit depth of images is considered. This type of operation is required when performing primary processing operations, identifying parameters and stitching images. The process of changing bits depth of images is performed in three stages. At each stage, the error minimization criterion is tested Result of applying the approach allows obtaining numerical region characteristics including the number of clusters, the number of minimum and maximum cluster sizes. To perform the process of minimizing some of the criteria, it is necessary to divide the image into areas. The paper presents a mathematical description of the approach, as well as flowcharts for performing operations of data processing steps. The article gives recommendations for choosing coefficients to obtain optimal minimizing parameters. The test images give an example of performing bit changes on image areas.

show abstract

“…Data and Information quality is one of the most competitive advantages for an organization in today's digital age, for example, with the rapid evolution of Internet of Things, Industry 4.0, Big Data and Cloud Computing (Xu et al, 2010;Chen et al, 2014). Companies are trying hard to find out relevant strategies to make their products (physical or virtual) standout with respect to their competitors.…”

Section: Introductionmentioning

confidence: 99%

Data quality assessment of maintenance reporting procedures

Madhikermi

Kubler

Robert

et al. 2016

Expert Systems with Applications

View full text Add to dashboard Cite

Today's largest and fastest growing companies' assets are no longer physical, but rather digital (software, algorithms. . . ). This is all the more true in the manufacturing, and particularly in the maintenance sector where quality of enterprise maintenance services are closely linked to the quality of maintenance data reporting procedures. If quality of the reported data is too low, it can results in wrong decision-making and loss of money. Furthermore, various maintenance experts are involved and directly concerned about the quality of enterprises' daily maintenance data reporting (e.g., maintenance planners, plant managers. . . ), each one having specific needs and responsibilities. To address this Multi-Criteria Decision Making (MCDM) problem, and since data quality is hardly considered in existing expert maintenance systems, this paper develops a Maintenance Reporting Quality Assessment (MRQA) dashboard that enables any company stakeholder to easily -and in real-time -assess/rank company branch offices in terms of maintenance reporting quality. From a theoretical standpoint, AHP is used to integrate various data quality dimensions as well as expert preferences. A use case describes how the proposed MRQA dashboard is being used by a Finnish multinational equipment manufacturer to assess and enhance reporting practices in a specific or a group of branch offices.

show abstract

Big Data: A Survey

Cited by 2,603 publications

References 105 publications

Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience

Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience

The solution of the problem of simplifying the images for the subsequent minimization of the image bit depth

Data quality assessment of maintenance reporting procedures

Contact Info

Product

Resources

About