Big data analytics with applications

Bi, Zhuming; Cochran, David S.

doi:10.1080/23270012.2014.992985

Cited by 119 publications

(60 citation statements)

References 48 publications

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“…Another example is in industrial applications [1] or called industrial information integration [47][48][49]; the majority of data exchanges and communication are based on visual data, available three dimensional (3D) scanners and computer aided design (CAD) and computer aided manufacturing (CAM) tools have accelerated the growth rate of image data greatly [2-4, 10, 43, 48, 50, 51, 53, 54]. The explosive growth of image data from digital devices is making database management extremely tedious and clumsy tasks [5,20,34,52]. Correspondingly, the techniques for organizing, storing, processing, and retrieving multimedia data are becoming more and more important.…”

Section: Introductionmentioning

confidence: 99%

A new approach for image databases design

Bulysheva

Jones

2015

Inf Technol Manag

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This paper focuses on the methodologies to organize and structure image databases. Conventional relational database techniques are optimized to deal with textual and numeric data; however, they are not effective to handle image data. Some progresses have been made in developing new approaches to establish and use image databases, but the applications of these approaches are very labor-intensive, error-prone, and impractical to large-scale databases. In this paper, we propose a new approach to develop the structure of a large-scale image automatically. It is an integrated approach from existing technologies for the new application where the management of image data is focused. In addition, we present a solution to data indexing for the image database with different image types.

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Section: Introductionmentioning

confidence: 99%

A new approach for image databases design

Bulysheva

Jones

2015

Inf Technol Manag

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“…Researchers in the relevant field pointed out that there is a lack of expertise and tools to create value from big data [28]. For instance, big data analytics mostly require the expertise in statistics, machine learning, and data management to extract valuable insight from organizational big data which is going to be a challenge.…”

Section: Implementation Challengesmentioning

confidence: 99%

Leveraging Cloud Based Big Data Analytics in Knowledge Management for Enhanced Decision Making in Organizations

Shorfuzzaman

2017

IJDPS

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“…Moreover, to combine their competitive advantages with other companies, an analysis mode according to a deduction chart way was proposed [11]. Furthermore, influences of Big Data [12] and its quality [7] on companies' information system are explored. Fosso Wamba et al thought that companies should understand the values created by Big Data (market segmentation, decision-making, demand discovery, producing new products, etc.)…”

Section: Literature Reviewmentioning

confidence: 99%

Pricing Strategies of a Three-Stage Supply Chain: A New Research in the Big Data Era

Liu¹

2017

Discrete Dynamics in Nature and Society

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In the Big Data era, Data Company as the Big Data information (BDI) supplier should be included in a supply chain. In the new situation, to research the pricing strategies of supply chain, a three-stage supply chain with one manufacturer, one retailer, and one Data Company was chosen. Meanwhile, considering the manufacturer contained the internal and external BDI, four benefit models about BDI investment were proposed and analyzed in both decentralized and centralized supply chain using Stackelberg game. Meanwhile, the optimal retail price and benefits in the four models were compared. Findings are as follows. (1) The industry cost improvement coefficient, the internal BDI investment cost of the manufacturer, and the added cost of the Data Company on using Big Data technology have different relationships with the optimal prices of supply chain members in different models. (2) In the retailer-dominated supply chain model, the optimal benefits of the retailer and the manufacturer are the same, and the optimal benefits of the Data Company are biggest in all the members.

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Big data analytics with applications

Cited by 119 publications

References 48 publications

A new approach for image databases design

A new approach for image databases design

Leveraging Cloud Based Big Data Analytics in Knowledge Management for Enhanced Decision Making in Organizations

Pricing Strategies of a Three-Stage Supply Chain: A New Research in the Big Data Era

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