Business Intelligence and its role to enhance Corporate Performance Management

Nazier, Mostafa Medhat; Khedr, Ayman E.; Haggag, Assoc. Prof. Mohamed

doi:10.24297/ijmit.v3i3.1745

Cited by 12 publications

(7 citation statements)

References 6 publications

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“…Different research in many fields have considered text analysis, semantic networks [13], semantic relations [14], as well as knowledge base systems [15][16][17] in different fields. In this section presents some of the research evolution considering these aspects in interrelated perspective.…”

Section: Related Workmentioning

confidence: 99%

Building a Knowledge Base Shell Based on Exploring Text Semantic Relations from Arabic Text

Idrees¹,

Shaaban²

2020

IJIES

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This research aims at focusing on building a knowledge base shell which task is to automatically build the knowledge base component from text sources. The proposed research aims at considering the Arabic text sources as one of the main challenges in due to the difficulty in processing Arabic text that suffers from the high inflection, shortcuts, and the varieties in letters' representation. The research restored the confidence in the term frequency method and the research adopts the semantic relations network representation. The research applied the experiment for building the weeds' identification facts' part in the knowledge-based system. The experiment applied the proposed framework on two sources, the precision, recall, and f-score have been measured which resulted in an average of 91.2%, 91.1%, and 91% respectively. The evaluation metrics provide a promising perspective in the proposed approach with more focus on the bottlenecks for enhancements.

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Section: Related Workmentioning

confidence: 99%

Building a Knowledge Base Shell Based on Exploring Text Semantic Relations from Arabic Text

Idrees¹,

Shaaban²

2020

IJIES

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“…The proposed model follows the previously discussed techniques for measuring the post credibility [36] [37], this section demonstrates how these techniques are correlated and reformed in a homogenous model to support the required target. The proposed model is divided into three main phases as follows:…”

Section: Proposed Modelmentioning

confidence: 99%

A Proposed Model for Detecting Facebook News’ Credibility

Idrees¹,

Alsheref²,

ElSeddawy³

2019

IJACSA

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Social networks are currently one of the main News' sources for most of their users. Moreover, News channels also consider social networks as main channels not only for spreading the news but also for measuring the feedback from their followers. Facebook Followers can comment or react to the news, which represents the follower's feedback about this topic. Therefore, it is a fact that measuring the News' credibility is one of the important tasks that could control the propagation of the fake news as well as the number of News' followers. The proposed model in this research highlights the impact of the News' followers on detecting the News' polarity either it is fake or not. The proposed model focuses on applying an intelligent sentiment analysis using Vector Space Model (VSM) which is one of the most successful techniques on the users' comments and reactions through the emoji. Then the degree of credibility is determined according to the correlation coefficient. An experimental study was applied using Facebook News dataset, which included the News and the followers' feedbacks.

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“…Egypt has many successful business fields (Nazier et al, 2013;, one of these fields is residential compounds such as Mountain View that doesn't sell fully smart homes, they only build the compound with an infrastructure that supports any smart automation systems, but it is useless as the awareness of having a smart home to save electricity and energy doesn't exist.…”

Section: Research Problemmentioning

confidence: 99%

A Proposed Framework for Reducing Electricity Consumption in Smart Homes using Big Data Analytics

Shaker¹,

Khedr²,

Kholeif³

2019

Journal of Computer Science

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Smart homes with smart technologies can provide better insights into saving energy and improving the quality of our life. All connected appliances are Internet of Things (IoT) devices that support applications inside a smart home which produce an amount of data that shows what households are doing during their daily life. IoT and Big Data Analytics (BDA) became the most popular technologies in our smart life that are rapidly affecting all areas of technologies and businesses to increase the benefits for organizations and individuals. This research paper contains a review study for recent papers with different techniques that discusses BDA challenges and benefits of a smart home and its relationship with IoT. Moreover, the research paper also contains a proposed approach with its technique (clustering algorithm) for analysing data to solve the main research problem of the large power crisis in Egypt due to the high electricity consumption. Thus, using associate rule to recommend actions based on these data to reduce electricity consumption in different houses in Egypt based on each inhabitant's interest.

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Business Intelligence and its role to enhance Corporate Performance Management

Cited by 12 publications

References 6 publications

Building a Knowledge Base Shell Based on Exploring Text Semantic Relations from Arabic Text

Building a Knowledge Base Shell Based on Exploring Text Semantic Relations from Arabic Text

A Proposed Model for Detecting Facebook News’ Credibility

A Proposed Framework for Reducing Electricity Consumption in Smart Homes using Big Data Analytics

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