Search Results - (( developing crime method algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Algorithm for the legal regulation of internet financial crime
Published 2024“…Further research is proposed to delve deeper into the application of these algorithms in real-world scenarios and explore additional methods to enhance the prevention and management of Internet financial crime.…”
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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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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 -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Quantitative Computational Framework For Analyzing Evidence To Identify Attack Intention And Strategy In Network Forensics
Published 2013“…The increasing number of cyber crimes has motivated network forensics researchers to develop new techniques to analyze and investigate these crimes. …”
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ATM crime detection using image processing integrated video surveillance : a systematic review
Published 2019“…The findings of this review may help the future researchers to develop dynamic and multipurpose algorithms for surveillance system that can detect and prevent ATM crime.…”
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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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Thesis -
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Evolving fuzzy grammar for crime texts categorization
Published 2015“…This paper introduces the evolving fuzzy grammar (EFG) method for crime texts categorization. In this method, the learning model is built based on a set of selected text fragments which are then transformed into their underlying structure called fuzzy grammars. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…For both indoor and outdoor scene, the proposed algorithm outperforms the other methods with accuracy 97% and 100%. …”
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Thesis -
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Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak
Published 2020“…Convolution Neural Network (CNN) using deep learning algorithm is chosen in identifying frequency of movement and execution time of housebreaking crime. …”
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Thesis -
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Fingerprint recognition system
Published 2005“…Fingerprint recognition is the oldest method which has been used in numerous applications for identification purpose in many social conditions such as access control and crime investigation.Now a day,in the era of technology the system is still using the password or smart card as an identity character for identification purpose.The problems happen when user forgot their password or lost their smart card. …”
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Undergraduates Project Papers -
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Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri
Published 2018“…Algorithms developed for face recognition are tightly related to the rate of extracted face features. …”
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Thesis -
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WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10
Published 2022“…Although there are 18 different categories of digital evidence, only 12 of them can be extracted using a single method. Furthermore, because the hashing algorithm employed in present technologies is MD5, the evidence gathered still lacks integrity. …”
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Augmenting the Robustness and Efficiency of Violence Detection Systems for Surveillance and Non-Surveillance Scenarios
Published 2022“…Our key contributions include the development of efficient keyframes selection methods and classification models, addressing the challenge of violence detection in dynamic surveillance scenarios. …”
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