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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…Nevertheless, there are some limitations in ID3 algorithm that can affect the performance in the classification of data. …”
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A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. …”
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Finding the optimal road routes between two locations in East Kuala Lumpur by using A* Algorithm based on GPS data / Ilina Syazwani Musa by Musa, Ilina Syazwani

“…In this paper, we will use A* algorithm in road route in East Kuala Lumpur based on GPS data on the Garmin platform. …”
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A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption by Haruna, Chiroma, Abdullahi, Usman Ali, Targio Hashem, Ibrahim Abaker, Saadi, Younes, Al-Dabbagh, Rawaa Dawoud, Ahmad, Muhammad Murtala, Emmanuel Dada, Gbenga, Danjuma, Sani, Maitama, Jaafar Zubairu, Abubakar, Adamu, Abdulhamid, Shafi’i Muhammad

“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. …”
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Normalized Relational Storage for Extensible Markup Language (XML) Schema by Kamsuriah, Ahmad, Reduan, Samad

“…Conclusion/Recommendations: Being able to infer XML functional dependencies constraints to relational views of XML data is a first step towards establishing a connection between XML and its relational representation at the semantic level.…”
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Scalability and performance in duplicate detection : relational vs. graph database by Muhammad Farhad, Khaharruddin

“…As a result, they may not be effective in identifying and resolving duplicate data in certain use cases. Graph-based algorithms such as community detection, may prove beneficial as it can capture a more complex relationships between data. …”
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

“…The proposed algorithm is capable of exploiting complementary information from different feature views in each task while exploring the shared knowledge between multiple related tasks in a joint framework when the labeled training data is sparse. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

“…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. …”
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A new algorithm to measure relevance among Web pages by Sadi, M.S., Rahman, M.M. Hafizur, Horiguchi, Susumu

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Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks by Krishnasamy, Ganesh, Paramesran, Raveendran

“…However, these semisupervised multitask selection feature algorithms are unable to naturally handle the multiview data since they are designed to deal single-view data. …”
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Survey on input output relation based combination test data generation strategies by Alsewari, Abdulrahman A., Tairan, Nasser M., Kamal Z., Zamli

“…Combinatorial test data generation strategies have been known to be effective to detect the fault in the product due to the interaction between the product’s features. …”
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Survey on input output relation based combination test data generation strategies by Alsewari, Abdulrahman A., Tairan, Nasser M., Kamal Z., Zamli

“…Combinatorial test data generation strategies have been known to be effective to detect the fault in the product due to the interaction between the product’s features. …”
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Development of a diversified ensemble data summarization (DDS) tool for learning medical data in a multi relational environment by Rayner Alfred, Leau, Yu Beng, Tan, Soo Fun

“…With this new algorithm, one could facilitate the task of data modelling for data stored in a multi-relational setting by improving the predictive accuracy of the data modelling task. …”
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Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018?2023) by Hosseini E., Al-Ghaili A.M., Kadir D.H., Gunasekaran S.S., Ahmed A.N., Jamil N., Deveci M., Razali R.A.

“…The synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling and forecasting tasks. …”

Cache replacement algorithm using hierarchical allocation scheduling by Mohd Sharif, Mohammad Faizal

“…The predicted instruction will have the highest priority to be kept in cache memory for future use. Therefore, latency between the processor and memory can be reduced. The existing cache replacement (i.e. least recently used (LRU)) algorithm depends on usage of the data being referenced. …”
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Image matching using relational graph representation by Lai, Chui Yen

“…The method involves the representation of the structural descriptions of image in relational graph and the matching between relational graphs to perform image matching. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

“…In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
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A modified π rough k-means algorithm for web page recommendation system by Zidane, Khaled Ali Othman

“…Secondly, a modified πRKM algorithm is proposed to partition the user session data. …”
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Collision avoidance algorithm design for UAV base on parametric theorem and circle overlapping method / Nur Fadzilah Mohamad Radzi by Nur Fadzilah, Mohamad Radzi

“…The algorithm is based on PTCOT (Parametric Theorem and Circle Overlapping Test) between two UAVs. …”
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Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents by Zulcaffle, Tengku Mohd Afendi

“…The reliability of the proposed algorithms have been tested over simulated and real data. …”
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