Search Results - (( problem application mining algorithm ) OR ( java application tools algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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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. …”
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Provider independent cryptographic tools
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RSA Encryption & Decryption using JAVA
Published 2006“…The key is the trigger mechanism to the algorithm. Until the advent of the Internet, encryption was rarely used by the public, but was largely a military tool. …”
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Final Year Project -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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A Rough-Apriori Technique in Mining Linguistic Association Rules
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Book Chapter -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Initially, this tool adopts only Crow Search, Jaya, and Sine Cosine algorithms. …”
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Comparative study of apriori-variant algorithms
Published 2016“…One of data mining methods is frequent itemset mining that has been implemented in real world applications, such as identifying buying patterns in grocery and online customers’ behavior.Apriori is a classical algorithm in frequent itemset mining, that able to discover large number or itemset with a certain threshold value. …”
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ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING
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Final Year Project -
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Dissimilarity algorithm on conceptual graphs to mine text outliers
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. …”
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Conference or Workshop Item -
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ELP-M2: An Efficient Model for Mining Least Patterns from Data Repository
Published 2017Get full text
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Book Chapter -
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An Efficient Data Structure for General Tree-Like Framework in Mining Sequential Patterns Using MEMISP
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of applications. …”
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Sequential pattern mining using PrefixSpan with pseudoprojection and separator database
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Evaluation of data mining models for predicting concrete strength
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Final Year Project / Dissertation / Thesis -
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Outlier Detection Technique in Data Mining: A Research Perspective
Published 2005“…Outlier detection as a branch of data mining has many important applications, and deserves more attention from data mining community. …”
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