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Design and analysis of management platform based on financial big data by Chen, Yuhua, Mustafa, Hasri, Zhang, Xuandong, Liu, Jing

“…Traditional financial accounting will become limited by new technologies which are unable to meet the market development. In order to make financial big data generate business value and improve the information application level of financial management, aiming at the high error rate of current financial data classification system, this article adopts the fuzzy clustering algorithm to classify financial data automatically, and adopts the local outlier factor algorithm with neighborhood relation (NLOF) to detect abnormal data. …”
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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data by Mallik, Moksud Alam, Zulkurnain, Nurul Fariza, Siddiqui, Sumrana, Sarkar, Rashel

“…Big Data frameworks like Hadoop MapReduce and Spark are potent tools that provide an effective way to analyze huge datasets that are being processed by the Hadoop cluster. …”
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A big data prediction framework for weather forecast using MapReduce algorithm by Khalid, Adam, Mazlina, Abdul Majid, Fakherldin, Mohammed Adam Ibrahim, Jasni, Mohamad Zain

“…The process of weather forecasting is developing as the effect of advancement in technology right from the realization of increasing size of data, Weather forecasting was found to be based on big data. …”
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

“…The simulation results acquired from the experiments showed the effectiveness of the proposed framework and algorithm.…”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques by Fawzia Omer, A., Mohammed, H.A., Awadallah, M.A., Khan, Z., Abrar, S.U., Shah, M.D.

“…The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
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Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'Aini

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Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'aini

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Development of a new algorithm for segmentation of flotation froth images by Jahedsaravani, Ali, Marhaban, Mohammad Hamiruce, Massinaei, Mohammad, Saripan, M. Iqbal, Mehrshad, Naser, Mohd Noor, Samsul Bahari

“…In the paper, the marker-based watershed method is modified to prevent oversegmentation of large bubbles. The developed algorithm is validated using some froth images captured at different operating conditions, so the results indicate that the method can segment the mixture of big and small bubbles effectively.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Data Transformation Model For Addressing Incomplete And Inconsistent Quality Issues Of Big Data by Onyeabor, Grace Amina

“…Firstly, an enhanced data transformation model (2CsDQT) is proposed to assess and improve big data quality. A new algorithm using ontology and clustering methods is used to identify and correct incomplete and inconsistent data, which resolves the availability and comprehensiveness of data, similarity between data items, and missing specific attributes of data. …”
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The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman by Abdul Rahman, Hayati

“…The inverted file method has been used for the indexing techniques to develop the indexing algorithm of the FTMSK official letter. …”
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The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman by Abd Rahman, Hayati

“…The inverted file method has been used for the indexing techniques to develop the indexing algorithm of the FTMSK official letter. …”
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Local and global measures for measuring performance of big data analytics process by Ali, Ismail Mohamed

“…More has been written about the quality of big data, its dimensions and algorithms applied on data to solve complex problems. …”
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Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics by Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Shatat, Abdallah Saleh Ali, Akhtar, Md. Mobin, Rizwanullah, Mohammed, Mohamed, Sara Saadeldeen Ibrahim

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A cascading fuzzy logic with image processing algorithm-based defect detection for automatic visual inspection of industrial cylindrical object’s surface by Ali, Mohammed A. H., Au, Kai Lun

“…The image processing algorithm has been developed to extract the main features of the tested objects such as defects, borders, and noise. …”
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Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique by Nahla Mohammedelzein, Elawad Babiker

“…(ii) develop an enhancement model of Join Query Processing (JQPro) based on SPARQL and Hadoop MapReduce using hashing-merge join technique to process Big RDF Data. …”
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To study the multi-objective optimization of EDM using genetic algorithm by Fairuz, Idris

“…EDM is one of the most accurate manufacturing processes for creating geometric shapes whether complex or simple in parts and assemblies. Development of EDM process has resulted in significant improvements in operating techniques, productivity and accuracy, which the result of this machining development has helped variability in EDM process. …”
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The development of network error message alert retrieval for organizational intelligence system based on information retrieval techniques / Ahmad Syazwan Ahmad Zaki by Ahmad Zaki, Ahmad Syazwan

“…The result shows that, this algorithm archive 100% for the accuracy even though the input size is big. …”
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Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023 by Soomro, Anam, Zakariyah, Habeebullah, Aftab, S.M.A., Muflehi, Mohamad, Shah, Asadullah, Meraj, Syeda

“…Additionally, it identifies Kaggle as a crucial source for research datasets, underlining the importance of accessible and comprehensive data in developing effective predictive models. The paper also outlines future research directions, emphasizing the integration of big data analytics, the application of sophisticated ensemble methods, and the potential of deep learning technologies. …”
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Automatic control of flotation process using computer vision by Saravani, Ali Jahed

“…Bubble size distribution which is regarded as the most important characteristics of froth structure, is being addressed in this thesis by using a segmentation algorithm. A marker based watershed algorithm had been adopted and improved so as to prevent the over segmentation of big bubbles and able to adapt itself with different scenario of froth images. …”
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