Search Results - (( basic complex data algorithm ) OR ( java implementation mining algorithm ))

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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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  2. 2
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    Scalable approach for mining association rules from structured XML data

    Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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  4. 4
    Mining association rules from structured XML data

    Mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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  5. 5
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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  6. 6
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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  7. 7
    Voting algorithms for large scale fault-tolerant systems

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…By extracting various plots from different aspects, we demonstrated that, compared to the basic algorithm, our algorithm has higher reliability and availability as the quantity of the input data increases. …”
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  8. 8
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  9. 9
    Visualizing Phylogenetic Trees: Algorithms And Visual Comparison Techniques

    Visualizing Phylogenetic Trees: Algorithms And Visual Comparison Techniques by Wan Zainon, Wan Mohd Nazmee

    Published 2011
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  10. 10
    Forgery detection in medical images using Complex Valued Neural Network (CVNN)

    Forgery detection in medical images using Complex Valued Neural Network (CVNN) by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Zeki, Akram M., Aburas, Abdurazzag Ali

    Published 2011
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  11. 11
    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods

    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods by Ng, Ing Kye

    Published 2014
    “…Third, the range which is defined as left or right is used for gesture recognition. Lastly, the basic transformation such as rotation, translation and scale is executed if a data motion lies within the range. …”
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    Academic Exercise
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  12. 12
    CHAOS BASED BLOCK ENCRYPTOR

    CHAOS BASED BLOCK ENCRYPTOR by SARIN, FARHANA

    Published 2008
    “…This project is basically a block encryption to protect block of data. …”
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  13. 13
    Accelerating graph algorithms with priority queue processor

    Accelerating graph algorithms with priority queue processor by Heng Sun, Ch'ng, Eik Wee, Chew, Shaikh-Husin, Nasir, Hani, Mohamed Khalil

    Published 2006
    “…Many graph algorithms are organized as simple elaborations of basic graph searching algorithms. …”
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  14. 14
    A highly efficient algorithm for phased-array mmWave massive MIMO beamforming

    A highly efficient algorithm for phased-array mmWave massive MIMO beamforming by Althuwayb, Ayman Abdulhadi, Hashim, Fazirulhisyam, Liew, Jiun Terng, Khan, Imran, Jeong, Woo Lee, Affum, Emmanuel Ampoma, Ouahabi, Abdeldjalil, Jacques, Sébastien

    Published 2021
    “…Simulation results show that the proposed algorithm significantly improves system performance and reduces computational complexity by more than 45% compared to traditional algorithms.…”
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  15. 15
    Recursive Subspace Identification Algorithm Using The Propagator Based Method

    Recursive Subspace Identification Algorithm Using The Propagator Based Method by Jamaludin, Irma Wani, Abdul Wahab, Norhaliza

    Published 2017
    “…However, because of the SVD computational complexity that involved in the algorithm, the classical SMI algorithms are not suitable for online application. …”
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  16. 16
    Dynamic Feedback Flow Control Algorithms for Unicast and Multicast Available Bit Rate Service in Asynchronous Transfer Mode Networks

    Dynamic Feedback Flow Control Algorithms for Unicast and Multicast Available Bit Rate Service in Asynchronous Transfer Mode Networks by Abdelrahman, Ali Mohamed

    Published 2000
    “…The rest may be implemented with additional complexity. Secondly, the research shifts to the problems of point-to-multipoint algorithms by introducing the basic concept of multicasting ABR servIce and reviewing a group of consolidation schemes, where the compromise between low consolidation nOlse and fast transient response is the main issue. …”
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  17. 17
    An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection

    An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection by Md Badarudin, Ismadi, Md Sultan, Abu Bakar, Sulaiman, Md. Nasir, Mamat, Ali, Tengku Muda Mohamed, Mahmud

    Published 2012
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  18. 18
    Fuzzy parameterized complex multi-fuzzy soft expert set theory and its application in decision-making

    Fuzzy parameterized complex multi-fuzzy soft expert set theory and its application in decision-making by Al-Qudah, Yousef Ali Abed, Hassan, Mazlan, Hassan, Nasruddin

    Published 2019
    “…A recent focus has been the analysis of a complex data set using the properties of fuzzy concept lattice and the complex soft set. …”
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  19. 19
    Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm

    Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm by Pham Q.B., Afan H.A., Mohammadi B., Ahmed A.N., Linh N.T.T., Vo N.D., Moazenzadeh R., Yu P.-S., El-Shafie A.

    Published 2023
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  20. 20
    Projected majorized-correlation technique for noise filtering and accuracy in orthogonal frequency division multiplexing

    Projected majorized-correlation technique for noise filtering and accuracy in orthogonal frequency division multiplexing by Alsaadi, Alaa Abdullah Mohammed

    Published 2020
    “…PQMCC technique is proposed to reduce the power of noise in OFDM signal, arise the accuracy of received signal and decrease the complexity. Precisely, by proposing the projected signal (py>) in PQMCC technique has solved the three main issues: power of noise, accuracy in received random signal (y>) and complexity in Tight Quadratic Majorization algorithm (TQM) for Phase Noise Estimation Technique. …”
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