High performance framework for mining association rules from hierarchical data cubes

Taleb, Ahmad; Shaikh, Asadullah; Eavis, Todd; Taleb, Nasser

doi:10.1504/ijbidm.2015.071324

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…This status is represented with gemstones, which describes the qualities and capabilities of a particular member of the organization, and his or her contribution to the information management process at the organizational level. [11][26] and [27] restricted gamification to the description of elements that are characteristic of games and reserved the term for the use of gamifying design. Although this definition may raise another debate as to what is "characteristic" of games, their proposed levels of game design elements certainly give the practitioner guidance when carrying out gamification designs.…”

Section: Fig 2 the Platform Structure Of Is4lmentioning

confidence: 99%

Improvement of Information Sharing in Teaching and Learning Using Gamification Technique

Rahman¹,

Awang²

2020

IJETT

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Gamification is a new technique of using game mechanisms or elements in non-gaming contexts for commercial or educational purposes. Information management process in Institut Pendidikan Guru (IPG) in Malaysia often creates problems because there is no systematic method of storage management. IPG lecturers store their teaching materials using different kinds of methods. This situation causes loss of resources, and difficulty for them to be retrieved and identified when they're needed. Dealing with large volumes of resources, it is essential to use technological solutions that enable flexible storage, retrieval, processing and interpreting of information. To solve the problems, this article introduced a model that uses single platform which is named Information Sharing for Learning (iS4L) for managing teaching and learning resources in IPG. The resources can be stored and accessed at any time. The model also applies the technique of gamification to motivate and encourage users to use the application which consequently increases the volume of resources stored. The quantitative data provided by the online survey reveals that gamification has the potential to attract, motivate, engage and retain users.

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Section: Fig 2 the Platform Structure Of Is4lmentioning

confidence: 99%

Improvement of Information Sharing in Teaching and Learning Using Gamification Technique

Rahman¹,

Awang²

2020

IJETT

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“…All data are created equal but some data are more alike than others (Cilibrasi and Vitanyi, 2005). With the development of data analysis and data processing agencies, industry and governments have yet to publish the micro-data (data that does not contain information on individuals), information extraction, the study of epidemics, or economic models (Subramaniam and Senthil, 2010;Taleb et al, 2015). Data mining can aid direct marketers by providing them with useful and accurate trends about their customers' purchasing behaviour (Patel et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Thresholding Technique In Spatially Co-Located Objects Mining From Vehicle Moving Data

Anitha¹,

Duraiswamy²

2017

IJBIDM

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Co-location pattern discovery is intended towards the processing data with spatial contexts to discover classes of spatial objects that are frequently located together. The existing moving vehicle location prediction technique not analyses the moving vehicles co-location instance. So, we improve the previous technique process by mining spatially co-located moving objects using spatial data mining techniques. Initially, the neighbour relationship is computed by the prim's algorithm. After that, the candidate co-locations are pruned according to the presence of candidate co-location in the input data and the final stage of co-location instances selection is performed by compute neighbourhood and node membership functions. The values obtained using neighbourhood membership function is compared with the dynamic threshold values. The co-location instances are selected which satisfy the dynamic threshold value. Moreover, the proposed co-location pattern mining with dynamic thresholding technique is compared with the existing co-location pattern mining technique.

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Clustering-based association rule mining for bug assignee prediction

Sharma

Singh

2016

IJBIDM

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High performance framework for mining association rules from hierarchical data cubes

Cited by 4 publications

References 25 publications

Improvement of Information Sharing in Teaching and Learning Using Gamification Technique

Improvement of Information Sharing in Teaching and Learning Using Gamification Technique

A Dynamic Thresholding Technique In Spatially Co-Located Objects Mining From Vehicle Moving Data

Clustering-based association rule mining for bug assignee prediction

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