Search Results - (( java application optimisation algorithm ) OR ( using representation mining algorithm ))

Refine Results
  1. 1

    Frequent itemset mining in high dimensional data: a review by Md. Zaki, Fatimah Audah, Zulkurnain, Nurul Fariza

    Published 2019
    “…In addition, it reviews many techniques used in several algorithms that make frequent itemset mining more efficient. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  2. 2

    Dissimilarity algorithm on conceptual graphs to mine text outliers by Kamaruddin, Siti Sakira, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Mat Nor, Fauzias

    Published 2009
    “…The graphical text representation method such as Conceptual Graphs (CGs) attempts to capture the structure and semantics of documents.As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining.In a number of these applications, it is necessary to measure the dissimilarity (or similarity) between knowledge represented in the CGs.In this paper, we would like to present a dissimilarity algorithm to detect outliers from a collection of text represented with Conceptual Graph Interchange Format (CGIF).In order to avoid the NP-complete problem of graph matching algorithm, we introduce the use of a standard CG in the dissimilarity computation.We evaluate our method in the context of analyzing real world financial statements for identifying outlying performance indicators.For evaluation purposes, we compare the proposed dissimilarity function with a dice-coefficient similarity function used in a related previous work.Experimental results indicate that our method outperforms the existing method and correlates better to human judgements. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  3. 3

    Compact structure representation in discovering frequent patterns for association rules by Mustapha, Norwati, Sulaiman, Md. Nasir, Othman, Mohamed, Selamat, Mohd Hasan

    Published 2002
    “…Structure used in typical algorithms for solving this problem operate in several database scans and a large number of candidate generation. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

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

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Compact structure representation in discovering frequent patterns for association rules by Mustapha, N., Sulaiman, M.N., Othman, M., Selamat, M.H.

    Published 2002
    “…Structure used in typical algorithms for solving this problem operate in several database scans and a large number of candidate generation. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6
  7. 7

    Enhanced ontology-based text classification algorithm for structurally organized documents by Oleiwi, Suha Sahib

    Published 2015
    “…Most TC algorithms used terms in representing the document which does not consider the relations among the terms. …”
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8

    Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Ahmad, Noordin

    Published 2014
    “…The images were used to explore the combined performance of a data mining (DM) algorithm and object-based image analysis (OBIA). …”
    Get full text
    Get full text
    Article
  9. 9

    Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining by Dian Sa’adillah Maylawati

    Published 2023
    “…Therefore, the present study aims: (1) to improve Indonesian text summary by enhancing the Sequence of Word (SoW) as text representation using Sequential Pattern Mining (SPM) with PrefixSpan algorithm since the effectiveness of SPM in Indonesian is proven useful for text classification and clustering; (2) to combine SPM and Deep Learning (DeepSPM) in text summarization with Indonesian text, as a result of its superior accuracy when trained with large amounts of data; and (3) to evaluate the readability of Indonesian text summary with several evaluation scenarios. …”
    Get full text
    Get full text
    Get full text
    Thesis
  10. 10

    Towards scalable algorithm for closed itemset mining in high-dimensional data by Md. Zaki, Fatimah Audah, Zulkurnain, Nurul Fariza

    Published 2017
    “…Unlike many well-known algorithms, BFF traverses the search tree in breadth-first manner resulted to a minimum use of memory and less running time. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING by MUFLIKHAH, LAILIL

    Published 2010
    “…Based on the new representation, the documents are then subjected to the clustering algorithm itself, which is Fuzzy c-Means algorithm. …”
    Get full text
    Get full text
    Thesis
  12. 12

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

    Published 2012
    “…The thesis outlines the two different implementation techniques of the existing FLEX algorithm using java based parsers and using a query language for XML. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Classification of stock market index based on predictive fuzzy decision tree by Khokhar, Arashid Hafeez

    Published 2005
    “…After constructing predictive FDT, Weighted Fuzzy Production Rules (WFPRs) are extracted from predictive FDT, and then more significant WFPR’s are mined by using similarity-based fuzzy reasoning method. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…Many statistical and data mining techniques have been used to predict time series stock market. …”
    Get full text
    Get full text
    Article
  15. 15

    SENTIMENT ANALYSIS IN SOCIAL NETWORKS USING NAiVE BAYES ALGORITHM by MAHMOUD, MOHAMED YAHYA

    Published 2011
    “…This report is concerned with the opinion mining and sentiment analysis in social networks especially Twitter, it aims to give a brief insight into the ongoing research in sentiment analysis algorithms and techniques, and graphical representation of the statistical results by applying the sentiment analysis on social networks. …”
    Get full text
    Get full text
    Final Year Project
  16. 16

    Feature-based approach and sequential pattern mining to enhance quality of Indonesian automatic text summarization by Maylawati, Dian Sa’adillah, Jaya Kumar, Yogan, Kasmin, Fauziah

    Published 2023
    “…Therefore, this research aims to enhance the quality of extractive Indonesian automatic text summarization with considering the quality of structured representation of text. This research uses sequential pattern mining (SPM) to produce This research use SPM to produce sequence of words (SoW) as structured text representation using PrefixSpan algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18
  19. 19

    An Automated System For Classifying Conference Papers by Ngan, Seon Choon Han

    Published 2021
    “…A randomised stratified 5- fold cross validation was then applied on several data mining algorithms and evaluated using the F-measure as a metric. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  20. 20

    Dimensionality reduction in data summarization approach to learning relational data by Kheau, Chung Seng, Rayner Alfred, Lau, Hui Keng

    Published 2013
    “…The DARA algorithm transforms data stored in relational databases into a vector space representation by applying the information retrieval theory. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Book