Results 41 to 50 of about 315,009 (291)

Automatic clustering of malware variants [PDF]

2016 IEEE Conference on Intelligence and Security Informatics (ISI), 2016
The emergence of malware creation tools in recent years has facilitated the creation of new variations of existing malware instances. Typically, Anti-Virus companies process new malware instances manually to determine their maliciousness and generate their signatures.
Rima Asmar Awad, Kirk D. Sayre
openaire   +1 more source

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
core   +1 more source

Neighbor-Relationship-Based Adaptive Density Peak Clustering

IEEE Access
The Density Peak Clustering (DPC) algorithm encounters challenges such as difficulty in choosing cluster centers and the chain reaction caused by incorrect assignment of data points when clustering spatial datasets containing clusters with significant ...
Zhigang Su, Qian Gao, Jingtang Hao, Yue Wang, Bing Han   +4 more
doaj   +1 more source

Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data

International Journal of Interactive Multimedia and Artificial Intelligence, 2020
In the Internet of Things (IoT), Cyber-Physical Systems (CPS), and sensor technologies huge and variety of streaming sensor data is generated. The unification of streaming sensor data is a challenging problem.
Edward Núñez-Valdez, Vijender Kumar Solanki, Sivadi Balakrishna, M. Thirumaran   +3 more
doaj   +1 more source

Improved Text Summarization of News Articles Using GA-HC and PSO-HC

Applied Sciences, 2021
Automatic Text Summarization (ATS) is gaining attention because a large volume of data is being generated at an exponential rate. Due to easy internet availability globally, a large amount of data is being generated from social networking websites, news ...
Muhammad Mohsin, Shazad Latif, Muhammad Haneef, Usman Tariq, Muhammad Attique Khan, Sefedine Kadry, Hwan-Seung Yong, Jung-In Choi   +7 more
doaj   +1 more source

Automatic Reconstruction of Fault Networks from Seismicity Catalogs: 3D Optimal Anisotropic Dynamic Clustering [PDF]

, 2007
We propose a new pattern recognition method that is able to reconstruct the 3D structure of the active part of a fault network using the spatial location of earthquakes.
Bhattacharya, Bishop, Bottou, Bradley, C. Ducorbier, Cohen, D. Sornette, Darrozes, Duda, Duda, Faulkner, G. Ouillon, Gaillot, Gaillot, Gaillot, Grégoire, Guzofski, Hamerly, Jones, Kanungo, Likas, Liu, MacQueen, Nicholson, Ouillon, Ouillon, Ouillon, Pelleg, Plesch, Press, Sarti, Scholz, Shearer, Shearer, Steacy, Wesson, Zhang   +36 more
core   +3 more sources

Automatic Clustering of Indoor Area Features in Shopping Malls

ISPRS International Journal of Geo-Information, 2023
The comprehensive expression of indoor maps directly affects the visualization effect of the map and the user’s map reading experience. Currently, only the points, lines, and polygons of outdoor maps are used as objects of cartographic generalization ...
Ziren Gao, Yi Shen, Jingsong Ma, Jie Shen, Jing Zheng   +4 more
doaj   +1 more source

Enhanced Firefly-K-Means Clustering with Adaptive Mutation and Central Limit Theorem for Automatic Clustering of High-Dimensional Datasets

Applied Sciences, 2022
Metaheuristic algorithms have been hybridized with the standard K-means to address the latter’s challenges in finding a solution to automatic clustering problems.
Abiodun M. Ikotun, Absalom E. Ezugwu
doaj   +1 more source

Magnetic resonance tumor regression grade (MR-TRG) to assess pathological complete response following neoadjuvant radiochemotherapy in locally advanced rectal cancer [PDF]

, 2017
This study aims to evaluate the feasibility of a magnetic resonance (MR) automatic method for quantitative assessment of the percentage of fibrosis developed within locally advanced rectal cancers (LARC) after neoadjuvant radiochemotherapy (RCT). A total
Bellini, D, Caruso, D, Caterino, Martina, Ciolina, M, De Santis, D, Laghi, A., Marzi, S, Musio, Daniela, Picchia, S, Rengo, M, Tombolini, V   +10 more
core   +1 more source

Using Topic Keyword Clusters for Automatic Document Clustering

IEICE Transactions on Information and Systems, 2005
Data clustering is a technique for grouping similar data items together for convenient understanding. Conventional data clustering methods, including agglomerative hierarchical clustering and partitional clustering algorithms, frequently perform unsatisfactorily for large text collections, since the computation complexities of the conventional data ...
null Hsi-Cheng Chang, null Chiun-Chieh Hsu   +1 more
openaire   +2 more sources