Search Results - (( java implementation tree algorithm ) OR ( filing users mining algorithm ))
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Data pre-processing on web server logs for generalized association rules mining algorithm
Published 2008“…Log file data can offer valuable insight into web site usage.It reflects actual usage in natural working condition, compared to the artificial setting of a usability lab.It represents the activity of many users, over potentially long period of time, compared to a limited number of users for an hour or two each.This paper describes the pre-processing techniques on IIS Web Server Logs ranging from the raw log file until before mining process can be performed. …”
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2
Web Usage Mining Using GSP Algorithm: A Study on Sultanah Bahiyah Library Online Databases
Published 2008“…In this study web usage mining use sequential pattern technique with GSP algorithm. …”
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A new classification model for online predicting users' future movements
Published 2008“…The WUM applies data mining techniques for extracting knowledge from user log files in the particular web server. …”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…Therefore, this paper aims to analyze and cluster the log file data to get useful information that helps understand the users' behavior. …”
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Web usage mining for UUM learning care using association rules
Published 2004“…In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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7
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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A New Model for Trojan Detection using Machine Learning Inspired by Al-Furqan Verse
Published 2024“…Living in a cyber-world, it is becoming very common for users to receive lots of emails with different files attachment. …”
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Using Markov Model and Association Rules for Web Access Prediction
Published 2006“…Mining user patterns of log file can provide significant and useful informative knowledge. …”
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11
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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12
Binary vote assignment on grid quorum replication technique with association rule
Published 2018“…Performance of the BVAGQ-AR technique comprised the following steps. First step is mining the data by using Apriori algorithm from Association Rules. …”
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13
Predicting next page access by Markov models and association rules on web log data
Published 2006“…Mining user patterns of log file can provide significant and useful informative knowledge. …”
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Analytical method for forensic investigation of social networking applications on smartphones
Published 2016“…Mobile devices are a gold mine of evidences for forensic investigators as they store valuable social networking data. …”
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15
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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16
An improved hybrid learning approach for better anomaly detection
Published 2011“…In recent years, data mining approach for intrusion detection have been proposed and used such as neural networks, clustering, genetic algorithms, decision trees, and support vector machines. …”
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