Results 21 to 30 of about 21,703 (289)

NCIVISION: A Siamese Neural Network for Molecular Similarity Prediction MEP and RDG Images. [PDF]

Molecules
Artificial neural networks in drug discovery have shown remarkable potential in various areas, including molecular similarity assessment and virtual screening. This study presents a novel multimodal Siamese neural network architecture.
Vieira RC, Nascimento LA, Nascimento AA, Alves NRM, Nascimento ÉCM, Martins JBL.   +5 more
europepmc   +2 more sources

Streaming similarity self-join [PDF]

Proceedings of the VLDB Endowment, 2016
We introduce and study the problem of computing the similarity self-join in a streaming context (SSSJ), where the input is an unbounded stream of items arriving continuously. The goal is to find all pairs of items in the stream whose similarity is greater than a given threshold.
Gionis Aristides, De Francisci Morales Gianmarco   +1 more
openaire   +5 more sources

Lightweight ECC-Based Self-Healing Federated Learning Framework for Secure IIoT Networks. [PDF]

Sensors (Basel)
The integration of federated learning into Industrial Internet of Things (IIoT) networks enables collaborative intelligence but also exposes systems to identity spoofing, model poisoning, and malicious update injection.
Salim MM, Naaz F, Choi K.
europepmc   +2 more sources

On the Complexity of Inner Product Similarity Join [PDF]

Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2016
A number of tasks in classification, information retrieval, recommendation systems, and record linkage reduce to the core problem of inner product similarity join (IPS join): identifying pairs of vectors in a collection that have a sufficiently large inner product.
Ahle, Thomas D., Pagh, Rasmus, Razenshteyn, Ilya, Silvestri, Francesco   +3 more
openaire   +5 more sources

LS-Join: Local Similarity Join on String Collections

IEEE Transactions on Knowledge and Data Engineering, 2017
String similarity join, as an essential operation in applications including data integration and data cleaning, has attracted significant attention in the research community. Previous studies focus on global similarity join. In this paper, we study local similarity join with edit distance constraints, which finds string pairs from two string ...
Jiaying Wang, Xiaochun Yang, Chengfei Liu   +2 more
exaly   +3 more sources

Climate's influence on topography encoded in stream network topology and geometry. [PDF]

Nat Commun
Stream networks express how Earth’s hydrologic cycle is embedded within its three-dimensional topography. In a top-down view, a stream network’s morphology is often described by its topological connectivity and branching geometry.
Li M, Seybold H, Fu X, Wu B, Raymond PA, Kirchner JW.   +5 more
europepmc   +2 more sources

Handling data-skewness in character based string similarity join using Hadoop [PDF]

Applied Computing and Informatics, 2022
The scalability of similarity joins is threatened by the unexpected data characteristic of data skewness. This is a pervasive problem in scientific data.
Kanak Meena, Devendra K. Tayal, Oscar Castillo, Amita Jain   +3 more
doaj   +1 more source

Similarity join over multiple time series under Dynamic Time Warping

CTU Journal of Innovation and Sustainable Development, 2023
Similarity join over multiple time series is an interesting task of data mining. This task aims at identifying couples of similar subsequences from multiple time series and the two subsequences might have any length and be at any position in the time ...
Bui Cong Giao
doaj   +3 more sources

Preference-driven similarity join [PDF]

Proceedings of the International Conference on Web Intelligence, 2017
Similarity join, which can find similar objects (e.g., products, names, addresses) across different sources, is powerful in dealing with variety in big data, especially web data. Threshold-driven similarity join, which has been extensively studied in the past, assumes that a user is able to specify a similarity threshold, and then focuses on how to ...
Chuancong Gao, Jiannan Wang 0001, Jian Pei 0001, Rui Li 0049, Yi Chang 0001   +4 more
openaire   +2 more sources

Dynamic Enumeration of Similarity Joins

CoRR, 2021
This paper considers enumerating answers to similarity-join queries under dynamic updates: Given two sets of $n$ points $A,B$ in $\mathbb{R}^d$, a metric $ϕ(\cdot)$, and a distance threshold $r > 0$, report all pairs of points $(a, b) \in A \times B$ with $ϕ(a,b) \le r$.
Agarwal, Pankaj K., Hu, Xiao, Sintos, Stavros, Yang, Jun   +3 more
openaire   +4 more sources