Search Results - (( write identification _ algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
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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Article -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Conference or Workshop Item -
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…We then develop a new algorithm to address the summarizing strategies identification problem. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
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Author identification for under-resourced language Kadazandusun
Published 2020“…The aim of this paper is to demonstrate Author Identification of short text on KadazanDusun. Besides, this paper also examines the performance of two machine learning algorithms on the KadazanDusun data set by analyzing the stylometric features. …”
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A New Swarm-Based Framework for Handwritten Authorship Identification in Forensic Document Analysis
Published 2014“…This chapter instead focuses on identifying the unique individual significant features of word shape by using feature selection method prior the identification task. In this chapter, feature selection is explored in order to find the most unique individual significant features which are the unique features of individual’s writing. …”
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Book Chapter -
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A new swarm-based framework for handwritten authorship identification in forensic document analysis
Published 2014“…This chapter instead focuses on identifying the unique individual significant features of word shape by using feature selection method prior the identification task. In this chapter, feature selection is explored in order to find the most unique individual significant features which are the unique features of individual’s writing. …”
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Book Chapter -
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Study on crack detection using image processing techniques and deep learning – a survey
Published 2020“…For this purpose, recent research articles have been selected for review. In this writing review, a portion of the ongoing papers on crack identification have been evaluated and the investigation of the audit is being done on image processing strategies. …”
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Article -
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Invariants discretization for individuality representation in handwritten authorship
Published 2008“…Writer identification is one of the areas in pattern recognition that have created a center of attention by many researchers to work in. …”
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Conference or Workshop Item -
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Dyslexia handwriting detection using Convolutional Neural Network (CNN) algorithm / Sofea Najihah Mohd Zaki
Published 2024“…Convolutional Neural Network (CNN) algorithm was chosen as one of the possible solutions after a thorough analysis of many algorithms for dyslexic handwriting identification. …”
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Thesis -
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…Low-cost radio frequency identification (RFID) tags conforming to the EPCglobal Class-1 Generation-2 standard are inherently insecure due to computational constraints. …”
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Thesis -
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Problem Solving
Published 2010“…A problem can be represented mentally ( in your own mind), orally , in writing, on a computer, and so on. Each type of representation has certain advantages and disadvantages. …”
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