List of Titles

The influence of anxiety on student nurse performance in a simulated clinical setting : A mixed methods design

- Al-Ghareeb, Amal, McKenna, Lisa, Cooper, Simon J.

Authors: Al-Ghareeb, Amal , McKenna, Lisa , Cooper, Simon J.
Date: 2019
Type: Text , Journal article
Relation: International Journal of Nursing Studies Vol. 98, no. (2019), p. 57-66
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Description: Background: Anxiety has a powerful impact on learning due to activation of anxiety hormones, which target related receptors in the working memory. Experiential learning requires some degree of challenge and anxiety. Patient simulation, as a form of experiential learning, has been an integrated component of health professional education internationally over the last two decades, especially in undergraduate nursing education. Little information is available to determine if and how anxiety impacts nursing students’ clinical performance during simulation. Objectives: To investigate physiological and psychological anxiety during emergency scenarios in high-fidelity simulation and understand the effect of anxiety on clinical performance. Design: First2Act was the model for the simulation intervention. Second and third year undergraduate nursing students attended a two-hour simulation session and completed a demographic questionnaire plus pre-simulation self-reported psychological anxiety scale. A heart rate variability monitor was attached to each student's chest to measure heart rate variability (as a sign of anxiety) before engaging in two video-recorded simulated emergency scenarios (cardiac and respiratory) with a professional actor playing the patient. Performance was rated by a clinician followed by video-assisted debriefing. Finally, heart monitors were removed and students repeated self-reports of psychological anxiety. Results: Students’ psychological anxiety was high pre-simulation and remained high post-simulation. With regard to physiological anxiety, students were anxious at the start of the simulation but became more relaxed toward the end as they gained familiarly with the simulation environment (p < .007). Clinical performance increased significantly in the second scenario (p < .001). Factors found to positively affect clinical performance were length of enrolment in the nursing degree (p = .001), current employment in a nursing or allied healthcare field (p = .030), and previous emergency experience (p = .047). The relationship between physiological anxiety and clinical performance was statistically not significant, although there was an indication that low level anxiety led to optimal performance. Conclusion: High-fidelity patient simulation has the capacity to arouse novice nurses psychologically and physiologically while managing emergency situations. Indicative outcomes suggest that optimal performance was apparent when anxiety levels were low, indicating that they had received insufficient training to deal with situations that induced moderate to high anxiety levels.

The preliminary investigation of the factors that influence the E-learning adoption in higher education institutes: Jordan case study

- Al-Hawari, Maen, Al-Halabi, S.

Authors: Al-Hawari, Maen , Al-Halabi, S.
Date: 2010
Type: Text , Journal article
Relation: International Journal of Distance Education Technologies Vol. 8, no. 4 (2010), p. 1-11
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Description: Creativity and high performance in learning processes are the main concerns of educational institutions. E-learning contributes to the creativity and performance of these institutions and reproduces a traditional learning model based primarily on knowledge transfer into more innovative models based on collaborative learning. In this paper, the authors focus on the preliminary investigation of factors that influence e-learning adoption in Jordan. As a pioneer country for e-learning systems in the Middle East, an investigation has been completed for one of Jordan's universities that has implemented e-learning. Factors are defined through the analysis of unstructured interviews with developers and users of the e-learning systems, and Leximancer content analysis software is used to analyze the interview's content. Main factors include Internet, legislations, human factors, and Web content. Copyright Â© 2010, IGI Global.

Pulsed ultrasound as an energy saving mode for ultrasound treatment of surface water with terrestrial aquatic carbon

- Al-Juboori, Raed, Yusaf, Talal, Bowtell, Leslie

Authors: Al-Juboori, Raed , Yusaf, Talal , Bowtell, Leslie
Date: 2018
Type: Text , Journal article
Relation: Desalination and Water Treatment Vol. 135, no. (2018), p. 167-176
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Description: The use of ultrasound technology in water treatment has gained great popularity in recent years owing to its benign environmental effects. The evaluation of this technology for water treatment purposes has mostly been conducted using synthetic water samples. This study however investigated the use of ultrasound for treating natural water with organic carbon predominantly derived from terrestrial sources. Ultrasound treatments were applied in continuous and pulsed modes with a range of On: Off ratios (R) and power intensity of 21.5 W/cm2 for 4 min. Physio-chemical and spectroscopic measurements were applied to determine the effect of ultrasound treatments on the concentration and structure of dissolved organic carbon (DOC) in the treated water. Post-hoc statistical analysis at a significance level of 0.05 showed that the performance of pulsed ultrasound treatments at least at one of pulse settings was better than that of continuous treatment. Overall, it was found that ultrasound treatments decreased DOC in the treated water and altered its nature to become more reactive towards oxidation and electrochemical reactions. Energy and cost analysis for DOC removal have also been conducted and results showed that applying the appropriate pulse settings can reduce the cost of the treatment by more than a half.

Machine learning based biosignals mental stress detection

- Al-Jumaily, Adel, Matin, Nafisa, Hoshyar, Azadeh

Authors: Al-Jumaily, Adel , Matin, Nafisa , Hoshyar, Azadeh
Date: 2021
Type: Text , Conference paper
Relation: 6th International Conference on Soft Computing in Data Science, SCDS 2021 Vol. 1489 CCIS, p. 28-41
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Description: Mental Stress can be defined as a normal physiological and biological reaction to an incident or a situation that makes a person feel challenged, troubled, or helpless. While dealing with stress, some changes occur in the biological function of a person, which results in a considerable change in some bio-signals such as, Electrocardiogram (ECG), Electromyography (EMG), Electrodermal Activity (EDA), respiratory rate. This paper aims to review the effect of mental stress on mental condition and health, the changes in biosignals as an indicator of the stress response and train a model to detect stressed states using the biosignals. This paper delivers a brief review of mental stress and biosignals correlation. It represents four Support Vector Machine (SVM) models trained with ECG and EMG features from an open access database based on task related stress. After performing comparative analysis on the four types of trained SVM models with chosen features, Gaussian Kernel SVM is selected as the best SVM model to detect mental stress which can predict the mental condition of a subject for a stressed and relaxed condition having an accuracy of 93.7%. These models can be investigated further with more biosignals and applied in practice, which will be beneficial for the physician. © 2021, Springer Nature Singapore Pte Ltd.

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The influence of emulsified water fuel containing fresh water microalgae on diesel engine performance, combustion, vibration and emission

- Al-Lwayzy, Saddam, Yusaf, Talal, Saleh, Khalid, Yousif, Belal

Authors: Al-Lwayzy, Saddam , Yusaf, Talal , Saleh, Khalid , Yousif, Belal
Date: 2019
Type: Text , Journal article
Relation: Energies Vol. 12, no. 13 (2019), p. 1-17
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Description: Microalgae is considered as an excellent potential renewable source of fuel in many forms including powder or slurry. A high percentage of emulsified water in the fuel is reported to reduce diesel engines’ emissions such as NOx, but that will compromise the engine output power. Using microalgae powder as an additive to enhance the emulsified water fuel heating value is the main objective of this work. Diesel engine combustion, vibration, performance and emissions were evaluated for pure cottonseed biodiesel (CS-B100), emulsified water 20% (vol.) in cottonseed biodiesel (CSB-E20) and emulsified water 20% (vol.) containing Fresh Water Microalgae Chlorella Vulgaris (FWM-CV) in cottonseed biodiesel (CSB-ME20). The emulsified water fuels showed a reduction in in-cylinder pressure, vibration, brake power, torque, exhaust gas temperature, CO2 and NOx, while BSFC and O2 were higher than the pure biodiesel (CS-B100). CSB-ME20 produced higher power and torque than CSB-E20 due to the presence of microalgae in the fuel that increased the energy content of the fuel.

A coordination polymer for the site-specific integration of semiconducting sequences into DNA-based materials

- Al-Mahamad, Lamia, El-Zubir, Osama, Smith, David, Horrocks, Benjamin, Houlton, Andrew

Authors: Al-Mahamad, Lamia , El-Zubir, Osama , Smith, David , Horrocks, Benjamin , Houlton, Andrew
Date: 2017
Type: Text , Journal article
Relation: Nature Communications Vol. 8, no. 1 (2017), p. 720-27
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Description: Advances in bottom-up material design have been significantly progressed through DNA-based approaches. However, the routine integration of semiconducting properties, particularly long-range electrical conduction, into the basic topological motif of DNA remains challenging. Here, we demonstrate this with a coordination polymer derived from 6-thioguanosine (6-TG-H), a sulfur-containing analog of a natural nucleoside. The complexation reaction with Au(I) ions spontaneously assembles luminescent one-dimensional helical chains, characterized as {Au (μ-6-TG)} , extending many μm in length that are structurally analogous to natural DNA. Uniquely, for such a material, this gold-thiolate can be transformed into a wire-like conducting form by oxidative doping. We also show that this self-assembly reaction is compatible with a 6-TG-modified DNA duplex and provides a straightforward method by which to integrate semiconducting sequences, site-specifically, into the framework of DNA materials, transforming their properties in a fundamental and technologically useful manner.Integration of semiconducting properties into the basic topological motif of DNA remains challenging. Here, the authors show a coordination polymer derived from 6-thioguanosine that complexes with Au(I) ions to form a wire-like material that can also integrate semiconducting sequences into the framework of DNA materials.

Inattentional blindness and pattern-matching failure : The case of failure to recognize clinical cues

- Al-Moteri, Modi, Symmons, Mark, Cooper, Simon J., Plummer, Virginia

Authors: Al-Moteri, Modi , Symmons, Mark , Cooper, Simon J. , Plummer, Virginia
Date: 2018
Type: Text , Journal article
Relation: Applied Ergonomics Vol. 73, no. (2018), p. 174-182
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Description: Eye-tracking methodology was used to investigate lapses in the appropriate treatment of ward patients due to not noticing critical cues of deterioration. Forty nursing participants with different levels of experience participated in an interactive screen-based simulation of hypovolemic shock. The results show that 65% of the participants exhibited at least one episode of non-fixation on clinically relevant, fully visible cues that were in plain sight. Thirty-five percent of participants dwelt for sufficient time (>200 ms) on important cues for perception to take place, but no action followed, indicating they had pattern-matching failure. When participants fail to notice what, they should notice in patient status until it is too late, this can have serious consequences. Much work needs to be done, since these human perceptual limitations can affect patient safety in general wards.

Eye tracking to investigate cue processing in medical decision making : A scoping review

- Al-Moteri, Modi, Symmons, Mark, Plummer, Virginia, Cooper, Simon J.

Authors: Al-Moteri, Modi , Symmons, Mark , Plummer, Virginia , Cooper, Simon J.
Date: 2017
Type: Text , Journal article , Review
Relation: Computers in Human Behavior Vol. 66, no. (2017), p. 52-66
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Description: Eye-tracking techniques have been adopted as a research tool for a wide range of applications in healthcare studies. Recently, healthcare researchers have started to show interest in using eye-tracking techniques to study medical decision-making. Mapping the literature pertaining to eye tracking using a systematic approach is valuable at this point to bring together all the studies to date on how medical decision-makers make decisions, and the results may contribute to clinical training. This review follows Arksey and O'Malley's scoping review framework to improve our understanding of visual cue processing in medical decision-making. A diverse range of studies was identified, and the results are presented descriptively to develop a more coherent understanding of different aspects of cue processing and errors in medical decision-making. The review shows the need for more extensive investigations of cue processing and medical decision-making. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.

Rapid visual search games and accuracy of students' clinical observation skills : a comparative study

- Al-Moteri, Modi, Alrehaili, Amani, Plummer, Virginia, Yaseen, Ruba, Alhakami, Reem

Authors: Al-Moteri, Modi , Alrehaili, Amani , Plummer, Virginia , Yaseen, Ruba , Alhakami, Reem
Date: 2021
Type: Text , Journal article
Relation: Clinical Simulation in Nursing Vol. 55, no. (2021), p. 19-26
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Description: Background: Rapid visual search (RVS) games require a player to search for a target against a distracting background. Playing RVS is known to improve observation and related skills for those professions that require ultimate observation skills. Aim: To examine whether using RVS games improves clinical observation of nursing students. Method: Post intervention assessment design was used in which participants were assigned to either RVS group or non-RVS group and their performance was compared to assess the impact of RVS games on students’ observational skills. Finding: Study findings revealed that RVS improved identification of cues that are highly visual in nature and related to liver cirrhosis. This may indicate that the RVS groups were more focused on the clinical markers than were the non-RVS group. © 2021. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Virginia Plummer” is provided in this record**

Nurses' cognitive and perceptual bias in the identification of clinical deterioration cues

- Al-Moteri, Modi, Cooper, Simon J., Symmons, Mark, Plummer, Virginia

Authors: Al-Moteri, Modi , Cooper, Simon J. , Symmons, Mark , Plummer, Virginia
Date: 2020
Type: Text , Journal article
Relation: Australian Critical Care Vol. 33, no. 4 (2020), p. 333-342
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Description: Background: Perception and processing of clinical cues have rarely been investigated in the nursing literature despite their relevance to the early identification and management of clinical deterioration. Aim: This study used a hypovolemic shock scenario from the Feedback Incorporating Review and Simulation Techniques to Act on Clinical Trends (FIRST2ACT) virtual simulation program, equipped with an eye tracker, to investigate cue processing during the management of patient deterioration. Result: The study revealed that attention deviation distorted interpretation of subsequent cues, causing 63% of participants to exhibit a cognitive bias (heightened sensitivity to specific but noncritical cues) and 65% to exhibit at least one episode of nonfixation on clinically relevant cues. Attention deviation and distorted interpretations of clinical cues will have an impact on patient safety. Conclusion: The findings are likely to have important implications for understanding error and associated training implications. © 2019 Australian College of Critical Care Nurses Ltd

Clinical deterioration of ward patients in the presence of antecedents : A systematic review and narrative synthesis

- Al-Moteri, Modi, Plummer, Virginia, Cooper, Simon J., Symmons, Mark

Authors: Al-Moteri, Modi , Plummer, Virginia , Cooper, Simon J. , Symmons, Mark
Date: 2019
Type: Text , Journal article , Review
Relation: Australian Critical Care Vol. 32, no. 5 (2019), p. 411-420
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Description: Aim: The aim of this review was to identify and synthesise published accounts of recognising and responding to patient deterioration in the presence of deterioration antecedents. Design: The systematic review canvassed four electronic databases/ search engines for studies of adult ward patients who had altered physiological parameters before developing major adverse events. Synthesis Methods: The findings were synthesised using a narrative approach. Results: Clinical deterioration can be missed by nurses, even with adequate charting. Delays in recognising and responding to patient deterioration remains an international patient safety concern, and strategies to enhance recognition of patient deterioration have not achieved consistent improvements. The lack of significant and sustained improvement through targeted training suggests the problem may be rooted in human behaviour and local ward culture. Nurses play a pivotal role in recognising and responding to patient deterioration; however, patient records do not facilitate tracking of all nurse decisions and actions, and any undocumented care cannot be easily captured by auditing processes. Conclusion: Failure to recognise clinical deterioration was evident even with adequate charting. It is not clear if nurses do not recognise clinical deterioration because they failed to interpret the signs of deterioration or they made a conscious decision not to escalate based on their clinical judgement or they lacked attention at the time of the event. Whatever the reason, focus is warranted for nurses' decisionmaking after the recording of clinical deterioration signs and the role of human factors in delayed recognition, before maximum benefit of any strategy can be achieved.

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The experiences of people with diabetes during covid-19 pandemic lockdown

- Al-Moteri, Modi, Plummer, Virginia, Youssef, Hanan, Yaseen, Ruba, Al Malki, Mohammed, Elryah, Ahmed, Al Karani, Ahmed

Authors: Al-Moteri, Modi , Plummer, Virginia , Youssef, Hanan , Yaseen, Ruba , Al Malki, Mohammed , Elryah, Ahmed , Al Karani, Ahmed
Date: 2022
Type: Text , Journal article
Relation: International Journal of Environmental Research and Public Health Vol. 19, no. 1 (2022), p.
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Description: Little is known about the theoretical foundation underling the response of people with diabetes managing their everyday routines during COVID-19 pandemic lockdown. Aim: To explore the experience of people with diabetes during COVID-19 pandemic lockdown in light of the risk perception, response and behavioral change theories. Method: A qualitative descriptive design was employed, and Braun and Clark’s six step analysis were used for thematic analysis. Semi-structured interviews were conducted online using Zoom Videos Communication. Result: Five themes were defined as follows: (1) perceived the threat and faced their fears, (2) appraised the damage, (3) identified the challenges, (4) modified their routine, and (5) identified the strengths that facilitate the efficacy of their response. There were eight sub-themes within the themes. Conclusion: The results of this study may provide an opportunity for nurses to reflect on issues highlighted by the patients regarding more effective communication, knowledge and skill development for people to support self-care during national emergencies. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Decision-making errors during recognizing and responding to clinical deterioration : gaze path-cued retrospective think-aloud

- Al-Moteri, Modi, Plummer, Virginia, Cooper, Simon

Authors: Al-Moteri, Modi , Plummer, Virginia , Cooper, Simon
Date: 2022
Type: Text , Journal article
Relation: Clinical Simulation in Nursing Vol. 73, no. (2022), p. 29-36
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Description: Background: Using individuals. own eye gaze path and mouse click tracks has proven to be a valuable technique for identifying a broad range of underlying cognitive processes and lapses of decision-making. Aim: The study aims to investigate nurses. decision-making errors in clinical deterioration. Method: Tobii eye tracker(R) was used to collect eye movements and mouse clicks of eighteen participants followed by gaze path retrospective interview. Finding: Thematic analysis revealed several forms of cognitive bias including anchoring, availability and confirmation bias, commission error and Yin-yang out. A distraction effect was apparent in nurses' ability to perceive, process data and to intervene. © 2022

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The road to developing standard time for efficient nursing care : a time and motion analysis

- Al-Moteri, Modi, Alzahrani, Amer, Althobiti, Ensherah, Plummer, Virginia, Sahrah, Afnan, Alkhaldi, Maha, Rajab, Eishah, Alsalmi, Amani, Abdullah, Merhamah, Abduelazeez, Afra, Caslangen, Mari-zel, Ismail, Mariam, Alqurashi, Talal

Authors: Al-Moteri, Modi , Alzahrani, Amer , Althobiti, Ensherah , Plummer, Virginia , Sahrah, Afnan , Alkhaldi, Maha , Rajab, Eishah , Alsalmi, Amani , Abdullah, Merhamah , Abduelazeez, Afra , Caslangen, Mari-zel , Ismail, Mariam , Alqurashi, Talal
Date: 2023
Type: Text , Journal article
Relation: Healthcare (Switzerland) Vol. 11, no. 15 (2023), p.
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Description: (1) Background: The amount of time nurses spend with their patients is essential to improving the quality of patient care. Studies have shown that nurses spend a considerable amount of time on a variety of activities––which are often not taken into account while estimating nurse-to-patient care time allocation––that could potentially be eliminated, combined or delegated with greater productivity. The current study aimed to calculate standard time for each activity category by quantifying the amount of time required by nurses to complete an activity category and determine the adjustment time that can be given during work, as well as determine factors that can be altered to improve the efficiency of nursing care on inpatient general wards of a governmental hospital. (2) Method: A time and motion study was conducted over two weeks using 1-to-1 continuous observations of nurses as they performed their duties on inpatient general wards, while observers recorded each single activity, and specifically the time and movements required to complete those activities. (3) Result: There was 5100 min of observations over 10 working days. Nurses spent 69% (330 min) of time during their 8 h morning shift on direct patient care, (19.4%) ward/room activities (18%), documentation (14%), indirect patient care (12%) and professional communication (5%). Around 94 min of activities seem to be wasted and can be potentially detrimental to nurses’ overall productivity and threaten patient care quality. The standard number of hours that represents the best estimate of a general ward nurse regarding the optimal speed at which the staff nurse can provide care related activities was computed and proposed. (4) Conclusions: The findings obtained from time–motion studies can help in developing more efficient and productive nursing work for more optimal care of patients. © 2023 by the authors.

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A critical analysis of mobility management related issues of wireless sensor networks in cyber physical systems

- Al-Muhtadi, Jalal, Qiang, Ma, Zeb, Khan, Chaudhry, Junaid, Imran, Muhammad

Authors: Al-Muhtadi, Jalal , Qiang, Ma , Zeb, Khan , Chaudhry, Junaid , Imran, Muhammad
Date: 2018
Type: Text , Journal article
Relation: IEEE Access Vol. 6, no. (2018), p. 16363-16376
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Description: Mobility management has been a long-standing issue in mobile wireless sensor networks and especially in the context of cyber physical systems its implications are immense. This paper presents a critical analysis of the current approaches to mobility management by evaluating them against a set of criteria which are essentially inherent characteristics of such systems on which these approaches are expected to provide acceptable performance. We summarize these characteristics by using a quadruple set of metrics. Additionally, using this set we classify the various approaches to mobility management that are discussed in this paper. Finally, the paper concludes by reviewing the main findings and providing suggestions that will be helpful to guide future research efforts in the area. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran” is provided in this record**

A lightweight cyber security framework with context-awareness for pervasive computing environments

- Al-Muhtadi, Jalal, Saleem, Kashif, Al-Rabiaah, Sumaya, Imran, Muhammad, Gawanmeh, Amjad, Rodrigues, Joel

Authors: Al-Muhtadi, Jalal , Saleem, Kashif , Al-Rabiaah, Sumaya , Imran, Muhammad , Gawanmeh, Amjad , Rodrigues, Joel
Date: 2021
Type: Text , Journal article
Relation: Sustainable Cities and Society Vol. 66, no. (2021), p.
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Description: Internet of things (IoT) plays a key role in enabling smart sustainable cities. Pervasive computing over the IoT platform makes life more convenient by embedding sensors based on context-aware computing devices in the physical environment for the ubiquitous availability of computing resources. The sensors gather contextual information from the physical world and transmit it to receivers as per requirements or in case of environmental changes, such as temperature and humidity. However, the combination of dynamic operation and the need to handle sensitive and private data make the pervasive computing environment and IoT devices vulnerable to numerous attacks. Smart environments require a maximum level of safety assurance, such as trusted context producers and customers, which should protect sensitive information from exposure or monitoring. This paper discusses the major cyber threats in smart environments and proposes a novel lightweight security framework that authenticates and maintains the context providers and receivers. The cloud environment is adopted for user authentication at the user layer to implement access control and role assignment. Finally, the proposed security framework is implemented in the IBM cloud platform with six devices to evaluate its efficiency, sustainability, and secure communication. © 2020 Elsevier Ltd

Robust extreme ranked set sampling

- Al-Nasser, Amjad D., Bani-Mustafa, Ahmed

Authors: Al-Nasser, Amjad D. , Bani-Mustafa, Ahmed
Date: 2009
Type: Text , Journal article
Relation: Journal of Statistical Computation & Simulation Vol. 79, no. 7 (2009), p. 859-867
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Description: In this paper, a robust extreme ranked set sampling (RERSS) procedure for estimating the population mean is introduced. It is shown that the proposed method gives an unbiased estimator with smaller variance, provided the underlying distribution is symmetric. However, for asymmetric distributions a weighted mean is given, where the optimal weights are computed by using Shannon's entropy. The performance of the population mean estimator is discussed along with its properties. Monte Carlo simulations are used to demonstrate the performance of the RERSS estimator relative to the simple random sample (SRS), ranked set sampling (RSS) and extreme ranked set sampling (ERSS) estimators. The results indicate that the proposed estimator is more efficient than the estimators based on the traditional sampling methods. [ABSTRACT FROM AUTHOR]

A framework for processing cumulative frequency queries over medical data streams

- Al-Shammari, Ahmed, Zhou, Rui, Liu, Chengfei, Naseriparsa, Mehdi, Vo, Bao

Authors: Al-Shammari, Ahmed , Zhou, Rui , Liu, Chengfei , Naseriparsa, Mehdi , Vo, Bao
Date: 2018
Type: Text , Conference paper
Relation: 19th International Conference on Web Information Systems Engineering, WISE 2018 Vol. 11234 LNCS, p. 121-131
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Description: Medical data streams processing becomes increasingly important since it extracts critical information from a continuous flow of patient data. Various types of problems have been studied on medical data streams, such as classification, clustering, anomaly detection, etc.; however, efficient evaluation of cumulative frequency queries has not been well studied. The cumulative frequency of patients’ status can play an instrumental role in monitoring the patients’ health conditions. Up to now, efficiently processing cumulative frequency queries on medical data streams is still a challenging task due to the large size of the incoming data. Therefore, in this paper, we propose a novel framework for processing the cumulative frequency queries over medical data streams to support the online medical decision. The proposed framework includes two components: data summarisation and dynamic maintenance. For data summarisation, we propose a hybrid approach that combines two data structures and exploits a classification algorithm to select the more efficient data structure for computing the cumulative frequency. For dynamic maintenance, we propose an incremental maintenance approach for updating the cumulative frequencies when new data arrive. The experimental results on a real dataset demonstrate the efficiency of the proposed approach. © Springer Nature Switzerland AG 2018.

A framework for clustering and dynamic maintenance of xml documents

- Al-Shammari, Ahmed, Liu, Chengfei, Naseriparsa, Mehdi, Vo, Bao, Anwar, Tarique, Zhou, Rrui

Authors: Al-Shammari, Ahmed , Liu, Chengfei , Naseriparsa, Mehdi , Vo, Bao , Anwar, Tarique , Zhou, Rrui
Date: 2017
Type: Text , Conference paper
Relation: 13th International Conference on Advanced Data Mining and Applications, ADMA 2017 Vol. 10604 LNAI, p. 399-412
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Description: Web data clustering has been widely studied in the data mining communities. However, dynamic maintenance of the web data clusters is still a challenging task. In this paper, we propose a novel framework called XClusterMaint which serves for both clustering and maintenance of the XML documents. For clustering, we take both structure and content into account and propose an efficient solution for grouping the documents based on the combination of structure and content similarity. For maintenance, we propose an incremental approach for maintaining the existing clusters dynamically when we receive new incoming XML documents. Since the dynamic maintenance of the clusters is computationally expensive, we also propose an improved approach which uses a lazy maintenance scheme to improve the performance of the clusters maintenance. The experimental results on real datasets verify the efficiency of the proposed clustering and maintenance model. © Springer International Publishing AG 2017.

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