PhishCluster: Real-Time, Density-Based Discovery of Malicious URL Campaigns from Semantic Embeddings
The proliferation of algorithmically generated malicious URLs has overwhelmed traditional threat intelligence systems, necessitating a paradigm shift from reactive, single-instance analysis to proactive, automated campaign discovery.
Dimitrios Karapiperis +2 more
doaj +1 more source
Analysis of approximate nearest neighbor searching with clustered point sets
We present an empirical analysis of data structures for approximate nearest neighbor searching. We compare the well-known optimized kd-tree splitting method against two alternative splitting methods.
Maneewongvatana, Songrit +1 more
core +2 more sources
Subspace Approximation for Approximate Nearest Neighbor Search in NLP
Most natural language processing tasks can be formulated as the approximated nearest neighbor search problem, such as word analogy, document similarity, machine translation. Take the question-answering task as an example, given a question as the query, the goal is to search its nearest neighbor in the training dataset as the answer.
openaire +2 more sources
A stochastic approach to k-nearest neighbors search using a fixed radius method. [PDF]
Cano Urrego B +3 more
europepmc +1 more source
scSpecies: enhancement of network architecture alignment in comparative single-cell studies. [PDF]
Schächter C +5 more
europepmc +1 more source
Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search. [PDF]
Engelsberger A +2 more
europepmc +1 more source
A Novel Method of Path Planning for an Intelligent Agent Based on an Improved RRT* Called KDB-RRT. [PDF]
Wei W, Wei K, Zhang J.
europepmc +1 more source
A refined SMOTE-ENN optimization method based on machine learning for heart rate variability data classification. [PDF]
Zhang B +10 more
europepmc +1 more source
Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets. [PDF]
K R M +3 more
europepmc +1 more source
Fast and Interpretable Machine Learning Modeling of Atmospheric Molecular Clusters. [PDF]
Seppäläinen L +3 more
europepmc +1 more source

