Search Results - (( java application mining algorithm ) OR ( using message optimization 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
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    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
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  4. 4
    Modified Data Encryption Standard Algorithm for Textbased Applications

    Modified Data Encryption Standard Algorithm for Textbased Applications by Mohamed Khmag, Asem Ib.

    Published 2006
    “…The second step is to apply the hash method on this message by using shuffle mechanism. Now the message is ready to do the encryption process that is dividing the text message to 128 8-bit for each four sub keys, so if the text message less than 128 8-bit then use another sub key. …”
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  5. 5
    New approach of cryptography algorithm for e- mail applications

    New approach of cryptography algorithm for e- mail applications by Khmag, Asem, Babiker, Elsadig, Ramli, Abd Rahman

    Published 2005
    “…The second step is to apply the hash method on this message by using shuffle mechanism. Now the message is ready to do the encryption process that is dividing the text message to 128 8-bit for each eight sub keys, so if the text message less than 128 8-bit then use another sub key. …”
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  6. 6
    Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique

    Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique by Al-Ewiwi, Mahmoud

    Published 2006
    “…These agents work cooperatively with each other through the Internet using message exchanging.An improved algorithm was implemented to decrease the amount of message exchanging between agents, which increased the performance of the system.…”
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  7. 7
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  8. 8
    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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  9. 9
    Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm

    Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm by Li, Man, Liu, Fang, Abdullah, Zulhamri

    Published 2024
    “…Third, this work uses IPSO to optimize the initial network parameters of 1DCNN to build IPSO-1DCNN. …”
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  10. 10
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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  11. 11
    An improved simulated annealing algorithm to avoid crosstalk in optical omega network

    An improved simulated annealing algorithm to avoid crosstalk in optical omega network by Abdullah, Monir, Othman, Mohamed, Johari, Rozita

    Published 2006
    “…It is a good idea to use these two algorithms to improve the performance. …”
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  12. 12
    Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network

    Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network by Mumtazimah, Mohamad, Engku Fadzli Hasan, Syed Abdullah, Ghaleb, S.A.A., Ghanem, W.A.H.M.

    Published 2021
    “…The main idea of this research is to train a neural network by leveraging a new nature-inspired metaheuristic algorithm referred to as a Grasshopper Optimization Algorithm (GOA) to categorize emails as ham and spam. …”
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  13. 13
    Vehicle communications: Sensitive node election SNE algorithm achieves optimized QoS

    Vehicle communications: Sensitive node election SNE algorithm achieves optimized QoS by Ayoob, Ayoob A., Mohd Faizal, Ab Razak, Khalil, Ghaith, Aksoy, Muammer

    Published 2026
    “…This paper presents a Sensitive Node Election (SNE) algo- rithm adapted to routing protocols in certain opportunistic network environments. The algorithm focuses on selecting the best agent for communication using an innovative approach for message forwarding. …”
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  14. 14
    Steganography : concealing texts within an image using least significant BIT technique on BMP image format / Farabi Aizat Mohd Aminnuddin

    Steganography : concealing texts within an image using least significant BIT technique on BMP image format / Farabi Aizat Mohd Aminnuddin by Mohd Aminnuddin, Farabi Aizat

    Published 2019
    “…This research used Least Significant Bits (LSB) as the algorithm to embed the messages. …”
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  15. 15
    Optimization of medical image steganography using n-decomposition genetic algorithm

    Optimization of medical image steganography using n-decomposition genetic algorithm by Al-Sarayefi, Bushra Abdullah Shtayt

    Published 2023
    “…To overcome these limitations, this study proposes a technique known as an n-decomposition genetic algorithm. This algorithm uses a variable-length search to identify the best location to embed the secret message by incorporating constraints to avoid local minimum traps. …”
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  16. 16
    An efficient network mobility management for a 6LoWPAN mobile network in hospital environments

    An efficient network mobility management for a 6LoWPAN mobile network in hospital environments by Shahamabadi, Mohammadreza Sahebi

    Published 2017
    “…Then, by using the proposed message-scheduling algorithm, end-to-end delay in NEMO-HWSN is reduced by approximately 20%. …”
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  17. 17
    New synchronization protocol for distributed system with TCP extension

    New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

    Published 2013
    “…Faulty processes may cause some other active processes to become inactive during the queuing or within the using a critical section time. In addition, the system requires adding some messages to avoid starvation and deadlock. …”
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  18. 18
    Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid

    Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid by Zahid, Zuhaili

    Published 2008
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  19. 19
    A novel and high capacity audio steganography algorithm based on adaptive data embedding positions

    A novel and high capacity audio steganography algorithm based on adaptive data embedding positions by Shahadi H.I., Jidin R., Way W.H.

    Published 2023
    “…This process help to provide optimal locations to hide the message blocks. These locations are considered as a stego-key that is ciphered and hided within the final detail sub-band which is specified for this purpose. …”
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  20. 20
    Benchmarking routing algorithms in NoC-based MPSoCs using guaranteed convergence arithmetic optimization with artificial neural networks and fuzzy MCDM

    Benchmarking routing algorithms in NoC-based MPSoCs using guaranteed convergence arithmetic optimization with artificial neural networks and fuzzy MCDM by R Muhsin, Al-Molla Yousif

    Published 2024
    “…The methodology includes two phases; phase 1 includes developing a prediction model, specifically an ANN optimized using the Guaranteed Convergence Arithmetic Optimization Algorithm (GCAOA-ANN). …”
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