Results 111 to 120 of about 1,911,756 (319)
Categorization of interestingness measures for knowledge extraction
Finding interesting association rules is an important and active research field in data mining. The algorithms of the Apriori family are based on two rule extraction measures, support and confidence.
Grissa, Dhouha +2 more
core
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Cost-Effective Knowledge Extraction Framework for Low-Resource Environments
Extracting knowledge from texts is crucial for enriching everyday knowledge. Constructing a knowledge extraction environment requires comprehensive processes, such as data generation, data processing, and model and framework design.
Sangha Nam, Eun-Kyung Kim
doaj +1 more source
Biological gene extraction path based on knowledge graph and natural language processing [PDF]
Canlin Zhang, Xiaopei Cao
openalex +1 more source
IqgC is a RasGAP from Dictyostelium discoideum. IqgC binds RasG via its RasGAP domain and deactivates it on macroendocytic cups, thereby suppressing the uptake of fluid and particles. IqgC has a positive effect on cell‐substratum adhesion, and its RGCt domain is required for recruitment to ventral foci.
Vedrana Filić +3 more
wiley +1 more source
Adjective Semantics in Open Knowledge Extraction
Adjectives carry a lot of discourse semantics, often being the core elements to understand the literal, emotional, cultural, and metaphoric meaning of a sentence. Their formal semantics has been investigated specially in lexical semantics and formal linguistics, with some contributions from formal ontology and the semantic web.
Gangemi Aldo +3 more
openaire +2 more sources
A Methodology to Extract Knowledge from Datasets Using ML
This study aims to verify whether there is any relationship between the different classification outputs produced by distinct ML algorithms and the relevance of the data they classify, to address the problem of knowledge extraction (KE) from datasets. If
Ricardo Sánchez-de-Madariaga +2 more
doaj +1 more source
Knowledge and Awareness of Serial Extraction Among Undergraduate Students
Rinieshah Nair R. Baskaran
openalex +1 more source
Representation of the suggested mode of action of lactoferrin (Lf) in nonsmall cell lung cancer (NSCLC) A549 cells. Lf induces activation of caspase‐3 by activating p53 and AChE leading to decreased ACh concentrations. In turn, ACh signaling leads to activation of VEGF and AKT and blocking of caspase‐3.
Stuti Goel +9 more
wiley +1 more source
The Construction of Knowledge Graphs in the Assembly Domain Based on Deep Learning
The operation scenario of human-robot collaboration assembly involves multiple channels to acquire assembly domain knowledge data. In order to equip collaborative robots with certain general knowledge of assembly work and logical reasoning ability, this ...
Jing Qu +4 more
doaj +1 more source

