Search Results - (( evolution learning techniques ) OR ( solution ((computing techniques) OR (mining techniques)) ))

Search alternatives:

Refine Results
  1. 1

    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

    Published 2018
    “…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
  2. 2

    Medical diagnosis using data mining techniques / Shaiful Nizam Zamri by Shaiful Nizam , Zamri

    Published 2003
    “…Medical Diagnosis Using Data Mining Techniques is a system in specifically facilitates the data mining techniques in predicting the appropriate drug prescription of certain condition of patients. …”
    Get full text
    Get full text
    Thesis
  3. 3

    PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

    Published 2020
    “…Addressing these OBL limitations, this research proposes a new general OBL technique inspired by a natural phenomenon of parallel mirrors systems called the Parallel Mirrors Technique (PMT). …”
    Get full text
    Get full text
    Thesis
  4. 4
  5. 5

    Review of firewall optimization techniques by Shakirah, Saidin, Mohamad Fadli, Zolkipli

    Published 2018
    “…Minimizing firewall rules by removing anomalies in the policy proven to be one of the solutions. Firewall performance can also be optimized using data mining technique and optimization based on traffic awareness. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  6. 6

    Applied data mining approach in ubiquitous world of air transportation by Reza, S.M., Wah, T.Y., Lahsasna, A.

    Published 2011
    “…This paper is going to use one of successfully used data mining techniques, namely neural network, which is capable of recognizing patterns. …”
    Get full text
    Get full text
    Conference or Workshop Item
  7. 7

    Intrusion detection system with data mining approach: a review by Khalilian, Majdid, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2011
    “…Despite of growing information technology widely, security has remained one challenging area for computers and networks. Recently many researchers have focused on intrusion detection system based on data mining techniques as an efficient strategy. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review by Hashmani, M.A., Jameel, S.M., Rehman, M., Inoue, A.

    Published 2020
    “…However, online machine learning has significant importance to fulfill the demands of the current computing revolution. Moreover, it is essential to understand the existing Concept Drift handling techniques to determine their associated pitfalls and propose robust solutions. …”
    Get full text
    Get full text
    Article
  9. 9

    Accelerated mine blast algorithm for ANFIS training for solving classification problems by Mohd Salleh, Mohd Najib, Hussain, Kashif

    Published 2016
    “…Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. …”
    Get full text
    Get full text
    Article
  10. 10

    Uncovering Hidden Information Within R&D Department's Ticket Using Data Mining Clustering Approach by Azmi, Abu Bakar

    Published 2011
    “…In this study the data extracted is clustered using two different types of data mining techniques i.e. K-Means and Kohonen Network. …”
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11

    A numerical method for frequent pattern mining by Mustapha, Norwati, Nadimi-Shahraki, Mohammad-Hossein, Mamat, Ali, Sulaiman, Md. Nasir

    Published 2009
    “…Frequent pattern mining is one of the active research themes in data mining. …”
    Get full text
    Get full text
    Article
  12. 12

    Left-handed metamaterial-inspired unit cell for S-Band glucose sensing application by Islam M.T., Hoque A., Almutairi A.F., Amin N.

    Published 2023
    “…Computer software; Glucose; Medical problems; Metamaterials; Microwave sensors; Sensors; Computer simulation technology (CST); Experimental verification; Finite integration technique; Glucose concentration; Left handed metamaterial; Parametric -analysis; Sensing characteristics; Transmission coefficients; Solution mining; glucose; water; chemistry; computer simulation; genetic procedures; human; isolation and purification; microwave radiation; procedures; software; Biosensing Techniques; Computer Simulation; Glucose; Humans; Microwaves; Software; Water…”
    Article
  13. 13

    Predictive crime mapping model using association rule mining for crime analysis by Asmai, S. A., Rosmiza Wahida, Abdullah, Sabrina, Ahmad

    Published 2014
    “…After training the data, the rules of relationship between attributes were generated. Here, the technique of association rule mining is being used. …”
    Get full text
    Get full text
    Article
  14. 14

    A framework for malware identification based on behavior by Mohamad Fadli, Zolkipli

    Published 2012
    “…Malware is one of the major security threats in a computer and network environment. Modem malware embeds several techniques in order to complicate malware defence. …”
    Get full text
    Get full text
    Thesis
  15. 15

    Rule pruning techniques in the ant-miner classification algorithm and its variants: A review by Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

    Published 2018
    “…Finally, future research direction to find new hybrid rule pruning techniques are provided.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  16. 16
  17. 17

    An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif by Sa’dan, Siti ‘Aisyah, Jantan, Hamidah, Abdul Latif, Mohd Hanapi

    Published 2016
    “…Soft computing techniques, such as bio-inspired algorithms, can be used for information processing by employing methods which are capable to deal with imprecision and uncertainty. …”
    Get full text
    Get full text
    Research Reports
  18. 18

    Unsupervised logic mining with a binary clonal selection algorithm in multi-unit discrete Hopfield neural networks via weighted systematic 2 satisfiability by Romli, Nurul Atiqah, Zulkepli, Nur Fariha Syaqina, Kasihmuddin, Mohd Shareduwan Mohd, Zamri, Nur Ezlin, Rusdi, Nur 'Afifah, Manoharam, Gaeithry, Mansor, Mohd. Asyraf, Jamaludin, Siti Zulaikha Mohd, Malik, Amierah Abdul

    Published 2024
    “…Unfortunately, there are several weaknesses in the research regarding the logic mining models, including an uncertainty of the attribute selected in the model, random distribution of negative literals in a logical structure, non-optimal computation of the best logic, and the generation of overfitting solutions. …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

    Published 2014
    “…For the optimization mechanism, the evaluation was conducted by comparing the mechanism with relevant optimization techniques. The simulation results showed that the proposed optimization mechanism outperforms the relevant optimization techniques by (1) generating the highest overall QoS ratio solutions, (2) consuming the smallest computation time, and (3) producing the lowest percentage of constraints violated number.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  20. 20

    Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

    Published 2019
    “…The first improvement includes using Elite Opposition-Based Learning (EOBL) at initialization phase of WOA. The second improvement involves the incorporation of evolutionary operators from Differential Evolution algorithm at the end of each WOA iteration including mutation, crossover, and selection operators. …”
    Get full text
    Get full text
    Article