Search Results - parallel operation ((mining algorithm) OR (means algorithm))

  • Showing 1 - 14 results of 14
Refine Results
  1. 1

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…This research opens a wide range of future work to be considered, which includes applying the proposed method in other areas such as web mining, text mining or multimedia mining; and extending the proposed approach to work in parallel computing in data mining.…”
    Get full text
    Get full text
    Thesis
  2. 2

    Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer by Iqbal Basheer, Muhammmad Yunus

    Published 2023
    “…Finally, the AADS is enhanced to operate parallelly, called parallel autonomous anomaly detection for streaming data (PAADS). …”
    Get full text
    Get full text
    Thesis
  3. 3

    Digital quadrature compensators scheme for analog imperfections of quadrature modulator in wireless communication systems by Talebpour, Faraz

    Published 2016
    “…Online mode describes the condition in which the adaptive algorithm is operating in parallel with the transmission process. …”
    Get full text
    Get full text
    Thesis
  4. 4
  5. 5

    K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata by Md Shah, Wahidah, Othman, Mohd Fairuz Iskandar, Hussian Hassan, Ali Abdul, Talib, Mohammed Saad, Mohammed, Ali Abdul Jabbar

    Published 2018
    “…K Nearest Neighbor Joins (KNN join) are regarded as highly primitive and expensive operations in the data mining.The efficient use of KNN join has proven good results in finding the objects from two data sets prevailed in the huge databases.This has been achieved with the combination of K-Nearest Neighbor query and join operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    An adaptive controller of hydro generators for smart grid application in Malaysia by Mohamad, H., Bakar, A.H.A., Ping, H.W., Mokhlis, Hazlie

    Published 2010
    “…An intentional islanding operation or a planned islanding operation is feasible with the advance technologies introduced by a smart distribution system. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  7. 7

    Hybrid metaheuristics for QOS-aware service composition / Hadi Naghavipour by Hadi , Naghavipour

    Published 2022
    “…As a result of this mapping study, five major hybridization strategies were identified in which two-third of solutions have been based on modifying algorithm operators or integration with another metaheuristic. …”
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8

    Generic DNA encoding design scheme to solve combinatorial problems by Rofilde, Hasudungan

    Published 2015
    “…The complexity of combinatorial problems is classified as NP meaning that algorithms are yet to exist to efficiently solve the problem. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Robust partitioning and indexing for iris biometric database based on local features by Khalaf, Emad Taha, Mohammed, Muamer N., Kohbalan, Moorthy

    Published 2018
    “…Further, the scalable K-means++ algorithm is used for partitioning and classification processes, and an efficient parallel technique that divides the features groups causing the formation of two b-trees based on index keys is applied for search and retrieval. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision by Abu Raid, Fadi Imad Osman

    Published 2021
    “…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm by Abdul Haris, Faranadia

    Published 2021
    “…Furthermore, the small-scale parallel-plate antenna that has been tested under real lightning condition can be operated as a portable, lightweight, and easy-to-install device for a lightning measurement system.…”
    Get full text
    Get full text
    Thesis
  12. 12

    High-Speed Implementations Of Fractal Image Compression For Low And High Resolution Images by Saad, Abdul Malik Haider Yusef

    Published 2018
    “…Hence, it is very challenging to achieve a real-time operation especially when this algorithm is run on a general or graphic processor unit. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Authenticating sensitive diacritical texts using residual, data representation and pattern matching methods / Saqib Iqbal Hakak by Saqib Iqbal , Hakak

    Published 2018
    “…The searching of halves is achieved through two different algorithms based on the split approach and the parallel approach respectively. …”
    Get full text
    Get full text
    Get full text
    Thesis
  14. 14