Search Results - (( mobile application mining algorithm ) OR ( its application kano algorithm ))
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Data mining in mobile ECG based biometric identification
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Dynamic and adaptive execution models for data stream mining applications in mobile edge cloud computing systems / Muhammad Habib Ur Rehman
Published 2016“…Mobile data stream mining (MDSM) applications in MECC systems involve massive heterogeneity at application and platform levels. …”
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Sentiment Analysis on Users' Satisfaction for Mobile Banking Apps in Malaysia
Published 2022“…Data classification has become the region of interest in Data Mining research as it indicates the arising of technology's application that leads to increment data usage. …”
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Integrated examination and analysis model for improving mobile cloud forensic investigation
Published 2022“…Advanced forensic techniques become inevitable to investigate the malicious activities in Cloud-based Mobile Applications (CMA). It is challenging to analyse the casespecific evidential artifact from the Mobile Cloud Computing (MCC) environment under forensically sound conditions. …”
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MiMaLo: advanced normalization method for mobile malware detection
Published 2022“…This research used a malware behavior observe approach on device calls on mobile devices operating gadget kernel. An application used to be mounted on mobile gadget to gather facts and processed them to get dataset. …”
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Design and evaluation on adaptive fuzzy speed control of mobile robot
Published 2011“…Wheeled mobile robots are widely used in various fields such as agriculture, industry, land mining, military, space explorations, and other applications in which the environment is inaccessible or hazardous to human, such as in nuclear plants. …”
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Analytical method for forensic investigation of social networking applications on smartphones
Published 2016“…Mobile devices are a gold mine of evidences for forensic investigators as they store valuable social networking data. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory
Published 2024“…This RiCCA prototype is developed from Danger Theory algorithms that is Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). …”
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Predictive Mobility Management Using Optimized Delays And Security Enhancements In IEEE 802.11 Infrastructure Networks
Published 2008“…Our contribution to mobility management is to propose a mobility prediction algorithm using location tracking and data mining, to propose a delay management approach that cuts down major delays, and to propose a two stage resource reservation scheme. …”
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Intuitive content management system via manipulation and duplication with if-else rules classification
Published 2018“…An ICMS is a content management system that uses three main important techniques to build, such as Manipulation method, Data Mining Prediction, and Boyer-Moore Horspool algorithm. …”
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Improved Malware detection model with Apriori Association rule and particle swarm optimization
Published 2019“…These rule models are used together with extraction algorithm to classify and detect malicious android application. …”
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An enhanced android botnet detection approach using feature refinement
Published 2019“…These features are able to disclose the sensitive information stored on the Android mobile devices. The botware applications used in this study containing 3535 samples were obtained from the Contagio and Drebin datasets, as well as the benign applications containing 3500 samples. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…However, it is a vital process for many applications such as traffic management, studying of animal behavior, and weather forecasting. …”
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…After choosing the optimal sensor combination for each soil property, the predictive capability was compared using different data mining algorithms, including support vector machines (SVM), random forest (RF), multivariate adaptive regression splines (MARS), and regression trees (CART). …”
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