Search Results - (( java implementation mining algorithm ) OR ( rate detection function algorithm ))

Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

“…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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Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…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 by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

“…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 by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

“…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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A web-based implementation of k-means algorithms by Lee, Quan

“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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Improving intrusion detection using genetic algorithm by Hashemi, V. Moraveji, Muda, Zaiton, Yassin, Warusia

“…The experimental results demonstrate that the proposed approach outperforms the existing techniques, with the detection rate of attack and false alarm rates of 95.7265 and 4.2735, respectively. …”
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Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali by Mohd Ali, Nurul Amira

“…The objectives of the project are to design and develop a prototype of adaptive Glioblastoma detection using Evolutionary-based algorithm to assist in detecting brain tumor and also to test the prototype’s functionality and detection accuracy. …”
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Development of an efficient algorithm for fetal heart rate detection: a hardware approach by Ibrahimy, Muhammad Ibn, Reaz, Mamun Bin Ibne, Mohd Ali, Mohd Alauddin, T., H. Khoon, Ismail, Ahmad Faris

“…Test case results showed an error percentage of around ±0.3% and ±0.5% for the detection of maternal and fetal heart rate respectively.…”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…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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Smart fall detection by enhanced SVM with fuzzy logic membership function by Harum, Norharyati, Khalil, Mohamad Kchouri, Hazimeh, Hussein, Obeid, Ali

“…An overall accuracy of about 99.87% in detecting the fall function was obtained. Furthermore, the overall sensitivity of 100% with no false negative rate obtained was achieved by implementing the proposed method. …”
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Enhancement of Space-Time Receiver Structure with Multiuser Detection for Wideband CDMA Communication Systems by Subramaniam, Jeevan Rao

“…The adaptive algorithms are evaluated as a function of the number of iterations it takes to converge and its transmission performance are compared. …”
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Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

“…This algorithm was minimal in line code to make it lightweight and made use of the controller's functionality without adding extra computational burden on the controller.…”
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Use of level specific ce-chirp auditory brainstem response with high rates and objective algorithm in infants population by Chahed, Norashikin, Dzulkarnain, Ahmad Aidil Arafat, Jamaluddin, Saiful Adli

“…It is hypothesized that the ABR to LS CE Chirp combined with a high stimulus repetition rate and the objective algorithm will have a shorter test-time, larger amplitudes, and lower ABR threshold than the ABR to click stimulus, low stimulus repetition rate and wave identification using visual detection. …”
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An efficient anomaly intrusion detection method with evolutionary neural network by Sarvari, Samira

“…The experiment results show that not only accuracy also detection rate and false alarm rate have had an exhibitive improve. …”
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Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim by Mohamed Hatim, Shahirah

“…From the result and analysis obtained in this research, it is established that both TOS and RPS are comparable in terms of the detection rate, specificity, false positive rate, false negative rate and accuracy. …”
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Face Detection Using Radial Basis Function Neural Networks with Fixed Spread Value by A Aziz, Khairul Azha, Abdullah, Shahrum Shah, Mohd Jahari @ Mohd Johari, Ahmad Nizam

“…The performance of the RBFNN face detection system will be based on the False Acceptance Rate (FAR) and the False Rejection Rate (FRR) criteria. …”
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Sliding Window for Radial Basis Function Neural Network Face Detection by Mohamood, Nadzrie, Hashim, Nik Mohd Zarifie, Aziz, Khairul Azha A

“…The performance of the system will be based on the rate of detection and also false negative rate. …”
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Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin by Mohd Nordin, Ahmad Nasreen Aqmal

“…The implementation phase focuses on the deployment of the Decision Tree algorithm and system evaluation through functionality testing. …”
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Early detection of anxiety in social media using Convolution neural network / Mohd Tharwan Hadi Ruslan by Ruslan, Mohd Tharwan Hadi

“…From literature study, the CNN algorithm had been chosen for this project, since CNN algorithm proof to be the best algorithm for classifying anxiety patients. …”
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