Search Results - (( security classifications mining algorithm ) OR ( java application mining algorithm ))
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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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Direct approach for mining association rules from structured XML data
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3
Prediction of college student academic performance using data mining techniques.
Published 2013“…The classification algorithms used are the Decision Tree, Naïve Bayesian, and Multilayer Perception with the highest classification accuracy by the Naive Bayes algorithm with accuracy of 95.3%. …”
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Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
Published 2024Subjects:Article -
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An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval algorithm
Published 2022“…Currently, many companies use data mining for various implementations. One form of implementation is intrusion detection system (IDS). …”
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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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Feature Subset Selection in Intrusion Detection Using Soft Computing Techniques
Published 2011“…This research work uses the Knowledge Discovery and Data mining (KDD) cup dataset, which is considered benchmark for evaluating security detection mechanisms. …”
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9
A framework for malware identification based on behavior
Published 2012“…The IF-THEN Prediction Rules which is generated using the data mining technique, ID3 Algorithm is used. In the implementation of malware target classification, Structure Level Rules are utilized to classify malware into possible target class. …”
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10
Feature Subset Selection in Intrusion Detection Using Soft Computing Techniques
Published 2011“…This research work uses the Knowledge Discovery and Data mining (KDD) cup dataset, which is considered benchmark for evaluating security detection mechanisms. …”
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11
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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An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval
Published 2022“…Currently, many companies use data mining for various implementations. One form of implementation is intrusion detection system (IDS). …”
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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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Named entity recognition using a new fuzzy support vector machine.
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Mining Sequential Patterns using I-PrefixSpan
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Experiments demonstrate and prove that the proposed EBPSO method produces better accuracy mining data and selecting subset of relevant features comparing other algorithms. …”
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Sentiment Analysis of Cyberbullying in Social Media Using Decision Trees
Published 2020“…This has also risen the possibilities and advancement of security threats. This study uses data mining techniques from the views of users written ion Twitter to use in sentiment analysis of decision tree classification. …”
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Final Year Project -
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Activity recognition based on accelerometer sensor using combinational classifiers
Published 2015“…Publicly accelerometer dataset obtained from Wireless Sensor Data Mining (WISDM) lab has been used in this study. The result of classification was validated using 10-fold cross validation algorithm in order to make sure all the experiments perform well.…”
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An improved hybrid learning approach for better anomaly detection
Published 2011“…In this thesis, an improved hybrid mining approach is proposed through combination of K-Means clustering and classification techniques. …”
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Activity Recognition Based On Accelerometer Sensor Using Combinational Classifiers
Published 2015“…Publicly accelerometer dataset obtained from Wireless Sensor Data Mining (WISDM) lab has been used in this study. The result of classification was validated using 10-fold cross validation algorithm in order to make sure all the experiments perform well.…”
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