Data Mining Approach for Detecting Key Performance Indicators

Sultan, Nehaya; Khedr, Ayman E.; Idrees, Amira M.; Kholeif, Sherif

doi:10.3923/jai.2017.59.65

Cited by 17 publications

(12 citation statements)

References 8 publications

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“…This phase targets determining the associations between the process continuity stages and the main activities for these stages (Dahab et al, 2010;Sultan et al, 2017). Association rule mining approach has been targeted previously in the education field with different perspectives such as in (Mostafa et al, 2017).…”

Section: Association Rule Miningmentioning

confidence: 99%

“…The organization which is likely to survive must be risk based oriented. Different fields are targeting the enhancement of the business process in different perspectives, some of these perspectives are: (Hassan and Idrees, 2010;Idrees, 2015;Idrees and Ibrahim, 2018;Sultan et al, 2017;Sayed et al, 2019;Idrees amd Taie, 2016). Business Continuity Management (BCM) targets the business' continuous improvement and resilience (Hegazy et al, 2015) (Nazier et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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A Proposed Mining Based Business Continuity Information System for Educational Institutes

Idrees¹,

Seddawy²,

Moaaz³

2019

Journal of Computer Science

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It has become an essential element for all organizations to be engaged in a more deliberate transform for prevention, protection, preparedness, mitigation and reaction to Business Continuity Management (BCM) and recovery. It is becoming risky for the organization to reply of disaster plan which targets to minimize the causes of the disruption. An organization should take a proactive approach to reduce the likelihood as well as the probability of the disruptions. It involves the development of advanced measures and actions that enable the organization to take action in such a way that the critical and essential functions of business could continue according to the predefined level of change and disruption. Recovering from disruptions is a challenge; it relies on an emergency response plan or uses disaster management strategies that were previously used. BCM is considered mandatory to provide a systematic approach towards crisis response in order to increase organizational resilience capability. It is necessarily required by the organization to protect its reputation, brand, value adding activities and stakeholders' interests. This paper proposes an intelligent framework that applies the business continuity management process on an educational institute which reveals the stakeholder awareness of the business continuity level in their organization. In order to successfully formulate the proposed framework, the research went through a set of phases. The research presented the whole process phases for developing the proposed framework which is based on applying the suitable technique in each phase to guarantee a suitable performance with ensuring the results' validity. The research used 93% confidence, Z = 1.98 with error margin E = 0.03 for sampling selection and the determined association were 94% confidence for 93 rules. Finally, the research discussed the recommendations for successful crisis management process with the support of intelligent techniques.

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Section: Association Rule Miningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Proposed Mining Based Business Continuity Information System for Educational Institutes

Idrees¹,

Seddawy²,

Moaaz³

2019

Journal of Computer Science

View full text Add to dashboard Cite

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“…Focusing on two paradigms, data mining and web mining, data Mining Models "DMM" are divided into two basic groups illustrated in Figure 1, descriptive and predictive [17]. Predictive models consider forecasting explicit findings, based on the detected patterns such as classification [18], [19], regression [20], time series analysis and prediction [21]. On the other hand, descriptive models provide a description to the existing patterns in the data which in a meaningful method such as clustering [22], [23], summarization [24], and association rules [25], [26].…”

Section: Introductionmentioning

confidence: 99%

A Proposed Architectural Framework for Generating Personalized Users’ Query Response

Mostafa¹,

Idrees²,

Khedr³

et al. 2020

Journal of Southwest Jiaotong University

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Personality mining is a vital approach which is currently been on focus for retaining customers as well as extending the customers’ segment. Data in its varied forms such as personal profile, social networks data, as well as transactional data could be considered as key for the success of industries. Therefore, successful data analysis by applying intelligent techniques, such as mining, natural language processing techniques, weighting methods, and others, drive competitiveness to a higher level and, further, to uniqueness. One of the main competitive advantages is the customer satisfaction, therefore, utilizing such successful techniques and successfully analyzing these sources of data with exploring their varieties of relationships lead to the successful personalization and consequently the user satisfaction. This research proposes an adaptive framework for documents’ personalization. The proposed framework builds the most suitable documents’ contents following user’s queries as well as the preferred style for content presentation with respect to users’ personality characteristics. On the other hand, the research highlights the importance of the Egyptian Knowledge Bank as a source of professional documents for replying to the users’ queries. A preliminary investigation has been applied to explore the importance of the proposed framework in the educational field through conducting a survey that included ten staff members and fifty students. The results revealed that the current research is a vital objective in the education field with 91% and 95% respectively.

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“…Many researches have proved the effectiveness of semantic networks' representation [9]. Moreover, Ensuring knowledge base enrichment can be confirmed from different perspectives [10,11], this research adopts the perspective of building a knowledge base shell with the aim of continuously extracting recent knowledge from recent text sources. The scope of building a complete knowledge base shell is wide [12], therefore, this research focus on building the first part of the knowledge base which is the Facts, their attributes, their values.…”

Section: Introductionmentioning

confidence: 99%

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

Idrees¹,

Shaaban²

2020

IJIES

Self Cite

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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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Data Mining Approach for Detecting Key Performance Indicators

Cited by 17 publications

References 8 publications

A Proposed Mining Based Business Continuity Information System for Educational Institutes

A Proposed Mining Based Business Continuity Information System for Educational Institutes

A Proposed Architectural Framework for Generating Personalized Users’ Query Response

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

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