Search Results - (( java applications ((tree algorithm) OR (new algorithm)) ) OR ( data solution using algorithm ))
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Novel approach for secure cover file of hidden data in the unused area within EXE file using computation between cryptography and steganography
Published 2009“…The strength of the information hiding science is due to the non-existence of standard algorithms to be used in hiding secret messages. Also there is randomness in hiding methods such as combining several media (covers) with different methods to pass a secret message. …”
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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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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The methodology is based on JavaScript and PHP languages for developing a new technique called DetectCombined capable of filtering queries using parameterized queries to protect against SQL injection which is a safe method. …”
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Network monopoly / Tan Kean Yeap
Published 2002“…The number of computers in use worldwide, according to the International Data Corporation, is in excss of 100 milion. …”
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Thesis -
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Direct approach for mining association rules from structured XML data
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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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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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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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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Text steganalysis using evolution algorithm approach
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Conference or Workshop Item -
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Efficient and secured compression and steganography technique in wireless sensor network
Published 2016“…Two datasets have been used in the experiment, generated data set and Harvard Sensor Lab data set, in order to validate the performance of the proposed solution. …”
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Improvement DACS3 Searching Performance using Local Search
Published 2009“…Embedding such behavior has improved quality of solution and time taken to reach the solution. However, the algorithm performance is reduced for large data set. …”
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Conference or Workshop Item -
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Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…Results of the experiments that were conducted using various data sets showed that the proposed algorithm produced better course schedule solution than the Greedy Algorithm, Genetic Algorithm, and other variants of Ant System Algorithm.…”
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Information Security Analysis and Solution using LSB Steganography and AES Cryptographic Algorithm
Published 2023“…The AES algorithm is the cryptographic technique used to lock or encrypt data. …”
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Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was mainly developing using java programming. Apache Tom cat was used as a server in order to run the application smoothly. …”
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Biometrics electronic purse
Published 1999“…This paper looked into using biometrics as a mean of authentication, thus requiring a new generation of Smart Card technology to be implemented in banking and multiple applications environment. …”
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Proceeding Paper -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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