Results 71 to 80 of about 716,263 (297)
TEXT MINING – PREREQUISITE FOR KNOWLEDGE MANAGEMENT SYSTEMS [PDF]
Text mining is an interdisciplinary field with the main purpose of retrieving new knowledge from large collections of text documents. This paper presents the main techniques used for knowledge extraction through text mining and their main areas of ...
Dragoº Marcel VESPAN
core
Classifying Web Exploits with Topic Modeling
, 2017 This short empirical paper investigates how well topic modeling and database meta-data characteristics can classify web and other proof-of-concept (PoC) exploits for publicly disclosed software vulnerabilities.
Ruohonen, Jukka
core +1 more source
Deformation Prediction of 4D‐Printed Active Composite Structures Based on Data Mining
Advanced Science, EarlyView.A curvature‐driven sequence point generation (CSPG) algorithm based on data mining is proposed to predict the deformation of double‐layer voxelized composite structures of arbitrary lengths. In addition, the CSPG algorithm is applied to predict the deformation of 2D and 3D structures assembled from beam elements, and its effectiveness is validated ...
Mengtao Wang +6 more
wiley +1 more source
Text mining brain imaging reports
Journal of Biomedical Semantics, 2019 Background With the improvements to text mining technology and the availability of large unstructured Electronic Healthcare Records (EHR) datasets, it is now possible to extract structured information from raw text contained within EHR at reasonably high
Beatrice Alex +5 more
doaj +1 more source
Iranian COVID-19 Publications in LitCovid: Text Mining and Topic Modeling [PDF]
, 2021 Meisam Dastani, Farshid Danesh
openalex +1 more source
Development of Dimethylsulfonium Probes for Broad Profiling of Methyllysine Reader Proteins
Advanced Science, EarlyView.Development of oligoglycine‐based dimethylsulfonium probes for unbiased crosslinking to methyllysine readers. The general probe facilitates profiling of site‐specific methyllysine readers, evaluation of selectivity and activity of reader inhibitors, and global profiling of methyllysine readers.
Jinyu Yang +3 more
wiley +1 more source
Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit?
, 2018 Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include ...
Borgman, Christine L.
core
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
Advanced Science, EarlyView.CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi +5 more
wiley +1 more source
Monitoring conceptual development with text mining technologies: CONSPECT [PDF]
, 2010 This paper evaluates CONSPECT, a service that analyses states in a learner’s conceptual development. It combines two technologies – Latent Semantic Analysis to analyse text and Network Analysis (NA) to provide visualisations – into a technique called ...
Buelow, Katja +2 more
core
Advanced Science, EarlyView.This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao +14 more
wiley +1 more source