Results 31 to 40 of about 27,025 (207)
Malware Classification based on Call Graph Clustering [PDF]
, 2010 Each day, anti-virus companies receive tens of thousands samples of potentially harmful executables. Many of the malicious samples are variations of previously encountered malware, created by their authors to evade pattern-based detection.
Kinable, Joris, Kostakis, Orestis
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CUSTOMER SEGMENTATION AND PROFILING FOR E-COMMERCE USING DBSCAN AND FUZZY C-MEANS [PDF]
Proceedings on Engineering Sciences, 2023 The Rapid Industrialization has led to a sudden overwhelming boost in business. With growing advancements in technology and the fast-paced growth of users that have access to said technology everything reaches customers faster. Businesses have also tried
Snehalatha N +2 more
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, 2011 Clustering algorithms are attractive for the task of class identification in spatial databases. However, the application to large spatial databases rises the following requirements for clustering algorithms: minimal requirements of domain knowledge to determine the input parameters, discovery of clusters with arbitrary shape and good efficiency on ...
Ashour, Wesam M., Sunoallah, Saad
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Jurnal Riset Informatika, 2023 This research investigated ensemble clustering algorithms and dimensionality reduction for fire zone mapping, specifically DBSCAN + UMAP. We evaluated six clustering methods: DBSCAN, ensemble DBSCAN, DBSCAN + UMAP, ensemble DBSCAN + UMAP, HDBSCAN and ...
Silviya Hasana, Devi Fitrianah
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, 2012 The Density Based Spatial Clustering of Applications with Noise (DBSCAN) is a topometric algorithm used to cluster spatial data that are affected by background noise.
Tramacere, A., Vecchio, C.
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A census of $\rho$ Oph candidate members from Gaia DR2
, 2019 The Ophiuchus cloud complex is one of the best laboratories to study the earlier stages of the stellar and protoplanetary disc evolution. The wealth of accurate astrometric measurements contained in the Gaia Data Release 2 can be used to update the ...
Bombrun, A. +8 more
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Journal of Applied Informatics and ComputingThis study aims to compare the performance of three clustering algorithms, namely Fuzzy C-Means, K-Means, and DBSCAN, in grouping houses based on their specifications and prices.
Dhendy Mardiansyah Putra +1 more
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Clustering-Based Predictive Process Monitoring
, 2015 Business process enactment is generally supported by information systems that record data about process executions, which can be extracted as event logs.
Di Francescomarino, Chiara +3 more
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Advanced Healthcare Materials, EarlyView.We characterized the distribution of cargo proteins associated with extracellular vesicles using various exogenous loading methods. In all cases, single‐particle analysis revealed that the distribution of protein content per EV is heterogeneous, following an exponential decay function.
Karl Normak +6 more
wiley +1 more source
Khazanah Informatika, 2019 Case-based Reasoning (CBR) has been widely applied in the medical expert systems. CBR has computational time constraints if there are too many old cases on the case base.
Herdiesel Santoso, Aina Musdholifah
doaj +1 more source