Results 61 to 70 of about 513,428 (333)
Subgroup Discovery in Unstructured Data
Subgroup discovery is a descriptive and exploratory data mining technique to identify subgroups in a population that exhibit interesting behavior with respect to a variable of interest. Subgroup discovery has numerous applications in knowledge discovery and hypothesis generation, yet it remains inapplicable for unstructured, high-dimensional data such ...
Arab, Ali +3 more
openaire +2 more sources
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Improving Data Cleaning by Learning From Unstructured Textual Data
In data analysis, a significant amount of erroneous or incomplete data can hinder informed organizational decisions prompting the need for automated data cleaning.
Rihem Nasfi +2 more
doaj +1 more source
Keyword extraction and summarization from unstructured text: A case study with open data from legal domain [PDF]
Varun Kumar Singh, Srividya Bansal
openalex +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello +5 more
wiley +1 more source
This paper proposes a novel approach to utilizing open-source legal databases in academic education, especially in the fields of law and police investigations.
Ezdihar Bifari +5 more
doaj +1 more source
Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data [PDF]
Chethan Jujjavarapu +9 more
openalex +1 more source
The scheduling of sparse matrix-vector multiplication on a massively parallel dap computer [PDF]
An efficient data structure is presented which supports general unstructured sparse matrix-vector multiplications on a Distributed Array of Processors (DAP). This approach seeks to reduce the inter-processor data movements and organises the operations in
Andersen, J, Mitra, G, Parkinson, D
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