Search Results - (( developing using pts algorithm ) OR ( java application mining algorithm ))
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1
Direct approach for mining association rules from structured XML data
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Thesis -
2
New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems
Published 2019“…Secondly, two novel algorithms, Grouping Complex iterations algorithm (G-C-PTS), and Gray Code Phase Factor algorithm (Gray-PF-PTS) have been developed to reduce the computational complexity for finding the optimum phase rotation factors in the time domain part of the PTS structure. …”
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4
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Article -
5
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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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 -
7
Mining Sequential Patterns using I-PrefixSpan
Published 2008Get full text
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Citation Index Journal -
8
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. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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9
Enhanced PAPR reduction and channel estimation techniques in multi-carrier wireless communication system
Published 2016“…As a result from the simulations carried out, the RSP displayed significant approximate by 85% and 72% for PAPR reduction at around 1.5 dB compared to PTS and SLM techniques respectively. Furthermore, the local search channel estimation using number particles for each single swarm that had been used to identify the best fitness solution was computed from the average BER value. …”
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