Multidimensional Model Design using Data Mining

Bimonte, Sandro; Sautot, Lucile; Journaux, Ludovic; Faivre, Bruno

doi:10.4018/ijdwm.2017010101

Cited by 12 publications

(8 citation statements)

References 59 publications

(66 reference statements)

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“…However, all research methods do not summarize the use of quantity or quality, but one can adopt an approach that uses both methods depending on the type of research. These types of methods are called hybrid [11][12] [13]. In fact, the emergence and use of hybrid methods to strengthen research is carried out.The combined method has been used in this study.…”

Section: Research Methodology and Proposed Frameworkmentioning

confidence: 99%

Offering a Combined Approach to The analysis of News database, using the software Rapid Mine Case study: News agency in Persian

Saberi¹,

Ahmadiyan²

2019

IJET

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One of the most widely used approaches in the management of Web-based systems, use the online agency and Data related to them. Online web agency, like the heart of a community and is one of the most critical information resources in a society. The importance of this topic in the news military organizations will be doubled. So having a right way and a unique conceptual approach to analyze and categorize the resources, Can provide numerous benefits and assistance to decision-makers within the organization, especially military organizations in carrying out decisions. In this study, firstly we contribute to the study and understanding of the concepts of data mining methods. Secondly, analysis of different methods of text processing must be done from different perspectives So as to identify the positive strategies and strengths of a variety of methods and The Finally, the analysis of news database, so as to uncover information hidden in the data and how to use it.

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Section: Research Methodology and Proposed Frameworkmentioning

confidence: 99%

Offering a Combined Approach to The analysis of News database, using the software Rapid Mine Case study: News agency in Persian

Saberi¹,

Ahmadiyan²

2019

IJET

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“…According to a survey of 348 business intelligence users, the majority do not enjoy self-service in data preparation tasks (Stodder, 2015). Decision-makers are not experts in online analytical processing and can find it difficult to deal with the concepts behind data warehousing such as dimensional views (Bimonte et al, 2017). In addition, dimensional modeling has also been described as somewhat superfluous (Haughey, 2004) or useless in the era of big data (Bethke, 2017).…”

Section: Learnabilitymentioning

confidence: 99%

The learnability of the dimensional view of data and what to do with it

Vujošević

Kovačević

Vujosevic-Janicic

2019

AJIM

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Purpose The purpose of this paper is to examine the usability of the dimensional view of data in the context of its presumed learnability. Design/methodology/approach In total, 303 participants were asked to solve 12 analytical problems in an experiment using the dimensional view of data for half of the problems and an operational view of data for the other half. Inferential statistics and structural equation modeling were performed with participants’ objective results and affective reactions. Findings Showing that the order of exposure to the two views of data impacts the overall usability of ad hoc querying, the study provided evidence for the learnability potential of the dimensional view of data. Furthermore, the study showed that affective reactions to the different views of data follow objective usability parameters in a way that can be explained using models from affective computing research. Practical implications The paper proposes a list of guidelines for use of the dimensional view of data in business analytics. Originality/value This study is the first to confirm the learnability of the dimensional view of data and the first to take a deeper look at affective reactions to an ad hoc business analytics solution. Also, it is one of few studies that examined the usability of different views of data directly on these views, rather than using paper representations of data models.

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“…To help decision-makers to have the better knowledge on their DW, data mining (DM) techniques have been used. In Bimonte et al (2017), a model of DW design using DM algorithms (clustering, learning association rules) was proposed. The proposed techniques in this work allow to define dimension hierarchies according to decision-maker knowledge.…”

Section: Related Workmentioning

confidence: 99%

Data Cubes Retrieval and Design in OLAP Systems: From Query Analysis to Visualisation Tool

Djiroun

Boukhalfa

Alimazighi

2018

IJBIDM

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Business intelligence systems provide an effective solution from large volumes of data for multidimensional online computing and analysis. Usually, in a decision-making process, organisations and enterprises, require several internal and/or external cubes which are often heterogeneous. Most of the time, the structure of these cubes is unknown to the decision-makers. To analyse a phenomenon, the decision-maker seeks among sets of cubes, in a collection, the cube which responds better to his need. In this context, we propose an approach that enables decision-makers to express their needs via a query expressed in a natural language, returns top-K relevant cubes and designs/constructs new cubes when no, or few deployed cubes are relevant. We propose a tool called RD-cubes-query implementing our approach in a ROLAP architecture. We use this tool in some experiments to validate our approach.

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Multidimensional Model Design using Data Mining

Cited by 12 publications

References 59 publications

Offering a Combined Approach to The analysis of News database, using the software Rapid Mine Case study: News agency in Persian

Offering a Combined Approach to The analysis of News database, using the software Rapid Mine Case study: News agency in Persian

The learnability of the dimensional view of data and what to do with it

Data Cubes Retrieval and Design in OLAP Systems: From Query Analysis to Visualisation Tool

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