Search Results - (( java implementation mining algorithm ) OR ( using message based algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
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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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Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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5
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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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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7
Modified Data Encryption Standard Algorithm for Textbased Applications
Published 2006“…The second step is to apply the hash method on this message by using shuffle mechanism. Now the message is ready to do the encryption process that is dividing the text message to 128 8-bit for each four sub keys, so if the text message less than 128 8-bit then use another sub key. …”
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The use of people rank technique for data dissemination in opportunistic network
Published 2015“…In order to understand how the nodes are ranked and how the messages are forwarded, we develop a simulation-based approach using ONE simulator. …”
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Final Year Project Report / IMRAD -
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Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi
Published 2012“…This project is designed using negative selection algorithm to automatically classify the Twitter’s messages into its sentiment’s category based on important keyword recognition. …”
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A new cryptographic algorithm based on decomposition problem in elliptic curve cryptography / Hilyati Hanina Zazali
Published 2012“…We introduce two concepts of splitting messages using the scheme in El-Gamal and Massey-Omura algorithms. …”
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New approach of cryptography algorithm for e- mail applications
Published 2005“…The second step is to apply the hash method on this message by using shuffle mechanism. Now the message is ready to do the encryption process that is dividing the text message to 128 8-bit for each eight sub keys, so if the text message less than 128 8-bit then use another sub key. …”
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Message based random variable length key encryption algorithm.
Published 2009“…A padding algorithm was used for small size messages or big random numbers. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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15
Fast ZeroY algorithm for efficient message routing in optical multistage interconnection networks
Published 2008“…In addition, the inverse Conflict Matrix (iCM) is used to map identified conflicts between messages in the network. …”
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A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach
Published 2012“…The aim of this project was to detect a hidden message in an observed message using text steganalysis.…”
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A new SMS spam detection method using both Content-Based and non Content-Based features
Published 2024Conference Paper -
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A taxonomy for congestion control algorithms in vehicular ad hoc networks
Published 2012“…Safety messages encompass beacons and event-driven messages. …”
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Applying learning to filter text
Published 2005“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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