Results 51 to 60 of about 325,256 (164)

Multivariate Similarity Search - A Call for a New Breed of Similarity Search Algorithms

2024 IEEE 40th International Conference on Data Engineering (ICDE)
The similarity search task involves identifying pairs of similar vectors, e.g., time series. For example, given a query q, the user might wish to find all vectors in a dataset with a cosine similarity with q higher than a threshold t, or to find the top-k most similar vectors with q, using Euclidean distance.
Odysseas Papapetrou, Jens E. d'Hondt
openaire   +1 more source

Lightweight Semantic Similarity Search of Data Products

IEEE Access
The increasing popularity of digital services provided by large enterprises has determined a proliferation of data products, determining several data management issues.
Antonio D'Ambrosio, Paolo Platter, Martina Salis, Francesco Simbola, Diego Reforgiato Recupero, Daniele Riboni   +5 more
doaj   +1 more source

Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese

Journal of Biomedical Semantics, 2019
Background There is an increasing amount of unstructured medical data that can be analysed for different purposes. However, information extraction from free text data may be particularly inefficient in the presence of spelling errors. Existing approaches
Hegler Tissot, Richard Dobson
doaj   +1 more source

APOTHEOSIS: An efficient approximate similarity search system

SoftwareX
APOTHEOSIS is a tool for efficiently identifying and comparing data similarity in large datasets, addressing challenges faced by traditional methods such as scalability and speed.
Daniel Huici, Ricardo J. Rodríguez, Eduardo Mena   +2 more
doaj   +1 more source

Gaussian Kernel-Based LSH for High-Dimensional Similarity Search

IEEE Open Journal of the Computer Society
High-dimensional similarity search remains a critical challenge in machine learning, particularly when data lie on complex, non-linear manifolds that undermine the effectiveness of classical Locality-Sensitive Hashing (LSH). This work introduces Gaussian
Masrat Rasool, Khelil Kassoul, Samir Brahim Belhaouari   +2 more
doaj   +1 more source

Identification of a Putative α-synuclein Radioligand Using an in silico Similarity Search. [PDF]

Mol Imaging Biol, 2023
Janssen B, Tian G, Lengyel-Zhand Z, Hsieh CJ, Lougee MG, Riad A, Xu K, Hou C, Weng CC, Lopresti BJ, Kim HJ, Pagar VV, Ferrie JJ, Garcia BA, Mathis CA, Luk K, Petersson EJ, Mach RH.   +17 more
europepmc   +1 more source

From Fact Drafts to Operational Systems: Semantic Search in Legal Decisions Using Fact Drafts

Big Data and Cognitive Computing
This research paper presents findings from an investigation in the semantic similarity search task within the legal domain, using a corpus of 1172 Hungarian court decisions.
Gergely Márk Csányi, Dorina Lakatos, István Üveges, Andrea Megyeri , János Pál Vadász, Dániel Nagy, Renátó Vági   +6 more
doaj   +1 more source

Iterative machine learning-based chemical similarity search to identify novel chemical inhibitors. [PDF]

J Cheminform, 2023
Durai P, Lee SJ, Lee JW, Pan CH, Park K.
europepmc   +1 more source

SIMBSIG: similarity search and clustering for biobank-scale data. [PDF]

Bioinformatics, 2023
Adamer MF, Roellin E, Bourguignon L, Borgwardt K.   +3 more
europepmc   +1 more source

Billion-Scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering

Cybernetics and Information Technologies
This paper presents a novel approach for similarity search with complex filtering capabilities on billion-scale datasets, optimized for CPU inference. Our method extends the classical IVF-Flat index structure to integrate multi-dimensional filters.
Emanuilov Simeon, Dimov Aleksandar
doaj   +1 more source