Search Results - (( java application mining algorithm ) OR ( spatial information based algorithm ))
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Direct approach for mining association rules from structured XML data
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An extended ID3 decision tree algorithm for spatial data
Published 2011“…As in the ID3 algorithm that use information gain in the attribute selection, the proposed algorithm uses the spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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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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Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…As the ID3 algorithm that uses information gain in the attribute selection, the proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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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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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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Mining Sequential Patterns using I-PrefixSpan
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Investigations On Human Perceptual Maps Using A Stereo-Vision Mobile Robot
Published 2018“…It is shown that both vision-based and the laser-based systems are able to computer a reasonably accurate spatial geometry of the tested environment.…”
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Spatial Signature Algorithm (SSA): A New Approach In Countermeasuring XML Signature Wrapping Attack
Published 2024journal::journal article -
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Improving pipelined time stepping algorithm for distributed memory multicomputers
Published 2010“…Our goal is to reduce the inter-time step communications while providing adequate information for the next time step to converge. Numerical result confirms that the improved algorithm is faster than the original pipelined algorithm and sequential time stepping algorithm with spatial parallelisation alone. …”
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Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting
Published 2017“…The unsupervised solution using time series clustering algorithms is capable to extract valuable information and identify structure in complex and massive datasets as spatial time series. …”
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Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
Published 2014“…Edge Adaptive Least significant bit Matching Revisited(EALMR) steganography algorithm is high safety spatial domain information hiding technique which can choose embedding area based on the image context. …”
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Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification
Published 2017“…A spatial filtering algorithm called Common Spatial Pattern (CSP) was developed and known to have excellent performance, especially in motor imagery for BCI application. …”
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Reservoir water release dynamic decision model based on spatial temporal pattern
Published 2016“…The modified Sliding Window algorithm was used to construct the rainfall temporal pattern, while the spatial information was established by simulating the mapped rainfall and reservoir water level pattern. …”
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Modeling and querying alternative paths in Kuantan
Published 2007“…Route finding based on geodetic data had addressed the growing data management and analysis needs of spatial applications such as Geographic Information System (GIS). …”
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Correlation-based common spatial pattern (CCSP): A novel extension of CSP for classification of motor imagery signal
Published 2021“…Common spatial pattern (CSP) is shown to be an effective pre-processing algorithm in order to discriminate different classes of motor-based EEG signals by obtaining suitable spatial filters. …”
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Hyperspectral anomaly detection leveraging spatial attention and right-shifted spectral energy
Published 2025“…The algorithm integrates spatial and spectral information, utilizing graph neural networks to identify nonlinear relationships within the image, thereby enhancing anomaly detection precision. …”
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Integration of object-based image analysis and data mining techniques for detailes urban mapping using remote sensing
Published 2015“…The proposed OBIA rule sets were automatically organized from the C4.5 algorithm to form a decision tree structure that explores a wide range of spectral, spatial, and textural attributes. …”
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